AI Company Profile
GitHub
On July 7, 2026, GitHub made cost center user-level budgets configurable directly in the billing UI rather than only through the REST API.
Company Overview
GitHub is tracked in the Kingy AI company directory because it is connected to public AI launch and tool records. On July 7, 2026, GitHub made cost center user-level budgets configurable directly in the billing UI rather than only through the REST API.
The current public graph connects 28 launches and 18 tools to GitHub. That turns this profile into a working research hub: use it to move from the company to its product surface, then into dated launch records with source checks, verification status, and related Kingy AI context.
For Open Source Maintainers, the useful question is not only what GitHub says about itself. The useful question is what the launch pattern shows: which categories the company is active in, which tools have durable profiles, whether pricing and demos are clear, and whether the source trail is strong enough for deeper editorial or creator coverage.
AI Product Evidence
This company profile is backed by a linked AI launch record: On July 7, 2026, GitHub made cost center user-level budgets configurable directly in the billing UI rather than only through the REST API.
Research Notes
When reviewing GitHub, check the official product surface, docs, demos, pricing, model or API pages, and linked Kingy AI launch records before relying on claims for buying, writing, comparison, or creator-coverage decisions.
Source-Backed Profile Notes
This profile is checked against public source links where available. Official product pages, documentation, model pages, pricing pages, launch announcements, and verified company pages should carry more weight than social posts or unsourced summaries.
Market Position
Kingy AI currently classifies GitHub around AI Productivity Tools. Those categories are not meant to be a marketing slogan; they are a practical way to understand where the company shows up in the launch database and how it may intersect with product strategy, adoption, search demand, and creator education.
Audience Fit
This profile is especially useful for Open Source Maintainers. A complete read should start with the company snapshot, continue through the linked tools and launch timeline, and end with the source panel so claims can be checked before a buying decision, article, comparison, or video brief.
Latest Tracked Move
The most recent linked launch for GitHub is GitHub Copilot in VS Code June 2026 releases from July 8, 2026. GitHub summarized Copilot changes across Visual Studio Code 1.123 through 1.127, including integrated browser interaction, parallel agent sessions, chat organization, AI-credit visibility, model-provider discovery and Autopilot behavior.
Product Surface
One linked tool profile is Copilot usage metrics review-cycle fields. On July 7, 2026, GitHub added avg_pull_requests_minutes_to_review and avg_pull_requests_review_cycles fields to the totals_by_ai_adoption_phase breakdown in Copilot usage metrics. The tool profile is where Kingy AI keeps product-level details such as what it does, pricing clarity, API availability, alternatives, related launches, and source-backed evaluation notes.
Launch Graph And Timeline
The launch graph is the most important part of this page. It shows how GitHub appears through dated AI product events instead of a generic company description. Each launch record can include category, audience, source links, pricing notes, demo signals, scoring, and a best-next-link path for deeper research.
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GitHub summarized Copilot changes across Visual Studio Code 1.123 through 1.127, including integrated browser interaction, parallel agent sessions, chat organization, AI-credit visibility, model-provider discovery and Autopilot behavior.
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In the latest iOS and Android production builds, GitHub Mobile can prefill a pull-request comment asking Copilot cloud agent to resolve merge conflicts; the user reviews and submits the request.
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On July 7, 2026, GitHub made Kimi K2.7 Code available for Copilot Business and Copilot Enterprise plans after the earlier rollout to Pro, Pro+, and Max.
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On July 7, 2026, GitHub announced that the GitHub Copilot app is available on every Copilot plan across macOS, Windows, and Linux.
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On July 7, 2026, GitHub added avg_pull_requests_minutes_to_review and avg_pull_requests_review_cycles fields to the totals_by_ai_adoption_phase breakdown in Copilot usage metrics.
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On July 7, 2026, GitHub made cost center user-level budgets configurable directly in the billing UI rather than only through the REST API.
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GitHub added Codex as an optional public-preview agent provider in GitHub Copilot for JetBrains IDEs and shipped related agentic enhancements including hooks support, richer MCP server management and administrator-configured custom models.
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GitHub launched a public preview that lets eligible GitHub Enterprise Cloud owners stream Copilot agent session records across supported clients to an audit destination or retrieve the previous 48 hours through a REST endpoint.
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GitHub added AI credit pools to cost centers on July 2, 2026 so eligible enterprises can cap how much included Copilot AI credit usage a group draws from the shared enterprise pool.
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GitHub added public-preview AI credit session limits to Copilot CLI and the GitHub Copilot SDK on July 1, 2026.
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GitHub released Desktop 3.6 with Git worktrees, Copilot SDK-based commit authoring, repository instruction support, model selection, bring-your-own-key options and AI-assisted merge-conflict explanations and suggestions.
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GitHub launched public-preview strictKnownMarketplaces support in enterprise-managed settings for Copilot CLI and Visual Studio Code, restricting plugin installation to explicitly configured marketplace sources.
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GitHub Copilot for Jira reached general availability, adding real-time Copilot cloud-agent progress inside Jira, post-session steering and simplified onboarding for connected GitHub repositories.
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GitHub updated Copilot code review on June 25, 2026 with organization defaults and visible attribution for the Medium review-effort preview, plus a new file-exploration path built on Copilot CLI and SDK tools.
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GitHub added the ai_credits_used field to enterprise and organization Copilot usage-metrics API reports, exposing an overall per-user total in the one-day and 28-day user endpoints.
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GitHub released Agent Finder for Copilot, which accepts a plain-language task, searches a selected public or private Agentic Resource Discovery registry, and returns ranked MCP servers, skills, canvases, agents, APIs and other resources for human selection.
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GitHub made automatic model selection generally available in Copilot Chat on github.com and GitHub Mobile for all Copilot plans.
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GitHub announced that Code Quality would move from public preview to general availability as a paid product on July 20, 2026.
Company Links
Tool Portfolio
The tool portfolio section turns the company profile into a navigable product map. For GitHub, Kingy AI currently links 18 tools that can be reviewed separately for pricing, demos, use cases, alternatives, related launches, and source-backed notes.
Copilot usage metrics review-cycle fields
On July 7, 2026, GitHub added avg_pull_requests_minutes_to_review and avg_pull_requests_review_cycles fields to the totals_by_ai_adoption_phase breakdown in Copilot usage metrics.
- Pricing
- No separate public price was verified for these metrics; access is tied to eligible GitHub Copilot enterprise or organization reporting permissions and Copilot plan/billing setup.
- API
- yes
Copilot Usage Metrics Server-Side Telemetry: What It Does, Pricing, Use Cases, and Alternatives
GitHub added server-side telemetry to Copilot usage metrics so enterprise reports include active users missed by client-only signals.
- Pricing
- The reporting change is available through Copilot usage metrics for eligible enterprise and organization administrators. Access and billing follow the applicable GitHub Copilot plan; the announcement does not introduce a separate price for server-side telemetry.
- API
- yes
GitHub Agentic Workflows: Guardrails, Pricing, Risks, and Evaluation
GitHub Agentic Workflows compiles natural-language Markdown into GitHub Actions workflows that run coding agents for repository tasks with sandboxing, scoped permissions and safe outputs.
- Pricing
- Public-preview runs consume AI credits under the configured Copilot billing path and GitHub Actions minutes. Plan access, selected agent, triggers and per-run limits determine total cost.
- API
- Unknown
GitHub Code Quality GA: What It Does, Pricing, Use Cases, and Alternatives
GitHub announced that Code Quality would move from public preview to general availability as a paid product on July 20, 2026.
- Pricing
- The June 16 notice schedules general availability for July 20 on GitHub Team and GitHub Enterprise Cloud. GitHub lists a $10 per-active-committer monthly base price on enabled repositories, metered AI-powered work, and GitHub Actions minutes for deterministic CodeQL analysis.
- API
- yes
GitHub Copilot
GitHub introduced an asynchronous coding agent for GitHub Copilot, embedded in GitHub and accessible from VS Code.
- Pricing
- Available through eligible GitHub Copilot plans and organization policies; current access depends on GitHub's Copilot plan rules.
- API
- no
GitHub Copilot Agent Session Streaming: Coverage, Retention, and QA
GitHub Copilot agent session streaming exports eligible enterprise session records—including prompts, responses and tool calls—to an audit destination, with a companion REST endpoint for recent activity.
- Pricing
- The preview has no separately listed price in its announcement. It requires an eligible GitHub Enterprise Cloud configuration and Copilot entitlements; destination ingestion, storage and retention add cost.
- API
- yes
GitHub Copilot AI Credit Session Limits
GitHub added public-preview AI credit session limits to Copilot CLI and the GitHub Copilot SDK on July 1, 2026.
- Pricing
- GitHub says session limits require Copilot CLI 1.0.66 or later or Copilot SDK 1.0.5 or later and are available in public preview for Individual, Business, and Enterprise plans. The limit is a soft cap because a response already in progress can finish after the threshold is crossed; current plan pricing and AI credit terms remain authoritative.
- API
- yes
GitHub Copilot app for all Copilot plans: What It Does, Pricing, Use Cases, and Alternatives
On July 7, 2026, GitHub announced that the GitHub Copilot app is available on every Copilot plan across macOS, Windows, and Linux.
- Pricing
- GitHub says every Copilot plan is supported, including Copilot Free and GitHub Education, and users can bring their own key without a Copilot subscription; current Copilot plan pricing should be verified on GitHub.
- API
- Unknown
GitHub Copilot Auto Mode: What It Does, Pricing, Use Cases, and Alternatives
GitHub made automatic model selection generally available in Copilot Chat on github.com and GitHub Mobile for all Copilot plans.
- Pricing
- GitHub says Auto mode is available across all Copilot plans. The June 17 announcement says paid subscribers receive a 10% billing discount when using Auto; model availability and routing can change by plan, policy, and service conditions.
- API
- no
GitHub Copilot Code Review
GitHub updated Copilot code review on June 25, 2026 with organization defaults and visible attribution for the Medium review-effort preview, plus a new file-exploration path built on Copilot CLI and SDK tools.
- Pricing
- Medium review effort remains a public preview for eligible Copilot users. GitHub reports that the new file-tool path reduced Copilot code review costs by about 20 percent while maintaining its standard review quality in GitHub's offline and online evaluations; this is a vendor-reported result, not an independent Kingy benchmark. Current plan eligibility and usage charges should be confirmed with GitHub.
- API
- yes
GitHub Copilot coding agent
GitHub added an Agents Panel so users can launch and monitor Copilot coding agent tasks from anywhere on GitHub rather than only from issues.
- Pricing
- Included with eligible GitHub Copilot plans and enterprise availability; exact access depends on Copilot plan and admin settings.
- API
- yes
GitHub Copilot for Jira: Workflow, Permissions, Costs, and QA
GitHub Copilot for Jira lets authorized users trigger Copilot cloud agent from Jira work items, pass issue context into a connected GitHub repository, follow progress and review the resulting pull request.
- Pricing
- The integration is available through paid GitHub Copilot plans and requires eligible Jira Cloud configuration. Agent work consumes AI credits and GitHub Actions minutes; Atlassian plan costs also apply.
- API
- Unknown
GitHub Copilot Workspace
GitHub launched Copilot Workspace in technical preview as a Copilot-native environment for moving from issue or idea to plan and code.
- Pricing
- Technical preview access was limited and tied to GitHub's preview program.
- API
- no
GitHub Desktop 3.6 Copilot Integration: Worktrees, Conflicts, and QA
GitHub Desktop 3.6 adds Git worktrees, Copilot-assisted commit authoring with repository instructions and AI-assisted merge-conflict explanations and suggestions.
- Pricing
- GitHub Desktop is free to download and use. Copilot-powered features require GitHub Copilot access; AI-credit, plan and any bring-your-own-key provider costs remain separate.
- API
- no
GitHub Models
GitHub introduced GitHub Models as a way for developers to experiment with and build against multiple AI models from inside GitHub workflows.
- Pricing
- Preview access and production usage depend on GitHub and Azure model access paths.
- API
- yes
GitHub Spark
GitHub Spark entered public preview for Copilot Pro+ subscribers as a natural-language app building tool connected to the GitHub platform.
- Pricing
- Public preview access was tied to GitHub Copilot Pro+ subscriptions.
- API
- no
Kimi K2.7 Code in GitHub Copilot Business and Enterprise
On July 7, 2026, GitHub made Kimi K2.7 Code available for Copilot Business and Copilot Enterprise plans after the earlier rollout to Pro, Pro+, and Max.
- Pricing
- GitHub says Kimi K2.7 Code is billed at provider list pricing under usage-based billing; exact current model costs should be confirmed on GitHub Copilot pricing and billing documentation.
- API
- Unknown
strictKnownMarketplaces: Copilot Plugin Governance, Limits, and QA
The strictKnownMarketplaces enterprise-managed setting restricts plugin installation in supported GitHub Copilot clients to explicitly configured marketplace source objects; an empty array locks installation down.
- Pricing
- The setting is an enterprise-management capability rather than a separately priced product. Access follows applicable GitHub enterprise and Copilot plans, with preview availability requiring confirmation.
- API
- no
Launch Record Cards
Use these cards when you want the shorter scan view: category, launch date, scores, open/API/free-plan signals, and the path into the full launch profile.
GitHub Copilot in VS Code June 2026 releases
GitHub summarized Copilot changes across Visual Studio Code 1.123 through 1.127, including integrated browser interaction, parallel agent sessions, chat organization, AI-credit visibility, model-provider discovery and Autopilot behavior.
The June roundup shows VS Code becoming an orchestration surface for multiple agents, browser checks and model choices rather than a single coding chat.…
GitHub Mobile Copilot cloud agent merge-conflict fix
In the latest iOS and Android production builds, GitHub Mobile can prefill a pull-request comment asking Copilot cloud agent to resolve merge conflicts; the user reviews and submits…
The mobile shortcut is useful for starting work, not for proving that a conflict was resolved correctly. GitHub prepopulates a request from the pull-request…
Kimi K2.7 Code in GitHub Copilot Business and Enterprise
On July 7, 2026, GitHub made Kimi K2.7 Code available for Copilot Business and Copilot Enterprise plans after the earlier rollout to Pro, Pro+, and Max.
- Launch readiness
- 6.9 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-08.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
GitHub extended Kimi K2.7 Code to Copilot Business and Enterprise plans, following its earlier rollout to Pro, Pro+, and Max (github.blog). AI Platform Teams…
GitHub Copilot app for all Copilot plans
On July 7, 2026, GitHub announced that the GitHub Copilot app is available on every Copilot plan across macOS, Windows, and Linux.
- Launch readiness
- 7.3 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-08.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
GitHub made the Copilot app available on every plan across macOS, Windows, and Linux — including Copilot Free and GitHub Education (github.blog). Developers, Students,…
Copilot usage metrics review-cycle fields
On July 7, 2026, GitHub added avg_pull_requests_minutes_to_review and avg_pull_requests_review_cycles fields to the totals_by_ai_adoption_phase breakdown in Copilot usage metrics.
- Launch readiness
- 6.6 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-08.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
GitHub added average-minutes-to-review and review-cycle fields to the adoption-phase breakdown in Copilot usage metrics (github.blog). AI Platform Teams and Engineering Leaders measuring whether Copilot…
Copilot cost center per-user budgets in billing UI
On July 7, 2026, GitHub made cost center user-level budgets configurable directly in the billing UI rather than only through the REST API.
- Launch readiness
- 6.6 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-08.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
GitHub made cost-center per-user budgets configurable directly in the billing UI, removing the REST-API-only limitation (github.blog). Enterprise Platform Teams and Operators managing individual AI…
Codex as an agent provider in GitHub Copilot for JetBrains
GitHub added Codex as an optional public-preview agent provider in GitHub Copilot for JetBrains IDEs and shipped related agentic enhancements including hooks support, richer MCP server management and…
Provider choice inside JetBrains can reduce tool switching, but Codex, Claude and Copilot modes should not be treated as equivalent harnesses. The release is…
GitHub Copilot Agent Session Streaming
GitHub launched a public preview that lets eligible GitHub Enterprise Cloud owners stream Copilot agent session records across supported clients to an audit destination or retrieve the previous…
GitHub Copilot agent session streaming provides a valuable evidence feed across clients, but it is a public preview with narrow tenant eligibility, a 48-hour…
GitHub Copilot Cost Centers AI Credit Pools
GitHub added AI credit pools to cost centers on July 2, 2026 so eligible enterprises can cap how much included Copilot AI credit usage a group draws from…
- Launch readiness
- 6.8 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-09.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
GitHub added AI credit pools to cost centers, letting eligible enterprises cap how much included Copilot usage a group draws from the shared pool…
GitHub Copilot AI Agent Session Limits
GitHub added public-preview AI credit session limits to Copilot CLI and the GitHub Copilot SDK on July 1, 2026.
- Launch readiness
- 7.0 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-09.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
GitHub added public-preview AI credit session limits to Copilot CLI and the SDK, putting a task-level boundary around model, subagent, and background usage in…
GitHub Desktop 3.6 Copilot Integration
GitHub released Desktop 3.6 with Git worktrees, Copilot SDK-based commit authoring, repository instruction support, model selection, bring-your-own-key options and AI-assisted merge-conflict explanations and suggestions.
Desktop 3.6 combines three practical improvements—worktrees, better commit assistance and conflict help—without removing the Git review boundary. Worktrees can still share resources, and a…
strictKnownMarketplaces for Copilot CLI and VS Code
GitHub launched public-preview strictKnownMarketplaces support in enterprise-managed settings for Copilot CLI and Visual Studio Code, restricting plugin installation to explicitly configured marketplace sources.
strictKnownMarketplaces for Copilot CLI and VS Code provides a useful fail-closed plugin-source boundary, including complete lockdown with an empty list. The public preview does…
GitHub Copilot for Jira reaches GA: June 25, 2026 launch record
GitHub Copilot for Jira reached general availability, adding real-time Copilot cloud-agent progress inside Jira, post-session steering and simplified onboarding for connected GitHub repositories.
The GA release closes useful workflow gaps by returning agent progress and follow-up control to Jira. The integration also moves ticket context into a…
Copilot Code Review Analysis Depth
GitHub updated Copilot code review on June 25, 2026 with organization defaults and visible attribution for the Medium review-effort preview, plus a new file-exploration path built on Copilot…
- Launch readiness
- 6.8 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-09.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
GitHub updated Copilot code review with organization defaults, visible attribution for the Medium review-effort preview, and a new file-exploration path built on Copilot CLI…
GitHub Copilot AI Credits Usage Metrics API
GitHub added the ai_credits_used field to enterprise and organization Copilot usage-metrics API reports, exposing an overall per-user total in the one-day and 28-day user endpoints.
Per-user AI-credit totals give administrators a practical way to spot consumption concentration and build internal reporting. The field is deliberately coarse: GitHub says it…
GitHub Copilot Agent Finder
GitHub released Agent Finder for Copilot, which accepts a plain-language task, searches a selected public or private Agentic Resource Discovery registry, and returns ranked MCP servers, skills, canvases,…
Agent Finder addresses a real scaling problem: agents should not carry every possible integration in context. Its strongest controls are registry choice, managed settings…
GitHub Copilot Auto Mode
GitHub made automatic model selection generally available in Copilot Chat on github.com and GitHub Mobile for all Copilot plans.
- Launch readiness
- 7.0 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-09.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
GitHub made automatic model selection generally available in Copilot Chat on github.com and GitHub Mobile for all plans, with a documented 10% billing discount…
GitHub Code Quality GA
GitHub announced that Code Quality would move from public preview to general availability as a paid product on July 20, 2026.
- Launch readiness
- 7.0 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-09.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
GitHub scheduled Code Quality's move from public preview to paid general availability on July 20, 2026, with a documented $10 per-active-committer base price plus…
How To Evaluate This Company
A useful GitHub review should combine company-level context with product-level evidence. Start with the official site, then inspect the linked tools and launch records for source quality, pricing clarity, demo availability, audience fit, and how recently the profile was verified.
- Check whether the company has a clear official product path, documentation, demo, pricing page, or public launch announcement.
- Compare the linked tool profiles against the launch timeline to see whether the product story is current or stale.
- Use the category and audience tags as discovery aids, then verify claims through the source links before making a buying, writing, or creator-coverage decision.
- Treat unknown funding, founder, or contact fields as research gaps, not negative signals. They identify where the profile needs more public evidence.
- When a launch or tool looks important but under-documented, submit a correction or related launch so the graph can be improved.
Editorial And Creator Coverage Notes
For Kingy AI, GitHub is most interesting when the company has a clear product change, a useful demo surface, a founder or team story, a strong comparison angle, or a launch that helps buyers understand where the AI market is moving. The current graph gives editors and creators a starting point without pretending that every profile is already complete.
Good coverage candidates usually have a specific workflow, visible product proof, a concrete audience, and enough official or high-quality public sources to avoid thin summaries. If those pieces are missing, this page should be read as a research queue as much as a company profile.
Verification And Source Notes
The verification panel below summarizes profile freshness and key source checks. It is intentionally visible because AI company pages become low-trust quickly when dates, product claims, funding notes, or source links are not kept current.
Verification & Sources
- Evidence state
- Recheck due
- Source links
- 6
- Freshness
- Needs recheck: checked July 8, 2026
- Last updated
- June 8, 2026
What this evidence state means
- Definition
- The claim was previously checked, but its review window expired or a material change may have invalidated it.
- Required provenance
- The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
- Owner
- Kingy freshness queue owner and assigned editorial reviewer
- Freshness rule
- This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Key source checks
Suggest a correction
Creator Coverage Next Steps
This company has launch, tool, or audience signals that may support demos, reviews, creator education, founder storytelling, or practical product explainers.