GitHub Copilot Review: What It Does, Pricing, and Alternatives

Draft v0.1 — 2026-05-22 KST; promoted to content_status = qa_passed after the 2026-05-22 official plans page-body read. Generated from templates/tool-page-template.md. Passed Section A of qa/adsense-seo-quality-gate.md; later source-freshness updates are recorded in the update log. Meta description (≤ 155 chars): GitHub Copilot is the AI pair-programmer for IDEs and GitHub — here is what it does, who it fits, and how it compares to Cursor and other coding assistants.

Quick verdict

• Best for: developers and engineering teams already on GitHub who want AI completion, chat, and pull-request assistance inside their existing IDE and GitHub workflow.
• Not ideal for: non-developers, or teams whose top requirement is a chat assistant rather than in-editor code generation.
• Pricing model: freemium. Free at $0, Pro at $10/user/month, Pro+ at $39/user/month, plus Business and Enterprise on Contact Sales pricing — verified on github.com/features/copilot/plans on 2026-05-22.
• Free plan: yes — Free tier includes 50 agent/chat requests and 2,000 completions per month, access to Haiku 4.5, GPT-5 mini, and other listed models, plus Copilot CLI, with no credit card required. Verified on github.com/features/copilot/plans 2026-05-22.
• Last verified: 2026-05-22 (github.com/features/copilot/plans page-body read)

Source-freshness note (2026-06-13)

If you are weighing GitHub Copilot as an IDE and GitHub coding-agent workflow rather than just inline autocomplete, GitHub maintains a first-party documentation surface describing how its Copilot coding agent fits the repository and pull-request workflow (docs.github.com — "About GitHub Copilot cloud agent", read HTTP 200 on 2026-06-13 KST).

• Two distinct surfaces. Per the page, the coding agent runs in a GitHub Actions–powered environment and "can research a repository, create a plan, make code changes on a branch, and optionally open a pull request," whereas "agent mode in your IDE makes autonomous edits directly in your local development environment." Match the surface to where your team actually works.
• Changes flow through pull requests you review. The agent's work lands as a branch and pull request, not a direct push to your default branch: per the page, "You can review the diff, iterate, and create a pull request when you're ready." A human still reviews, tests, and approves before anything merges or ships.
• Vendor evidence only. This is GitHub's own documentation of how the workflow is shaped, not an independent ranking — confirm current pricing, plan availability, and model availability on GitHub's official pricing and product pages before relying on specifics.

Source-backed freshness note drawn from GitHub's own documentation. No benchmark, ranking, price, quota, speed, model-availability, or superiority claim is made here; vendor positioning is reported as vendor evidence only.

Source-freshness note (2026-06-18)

If part of your Copilot evaluation is agentic automation running inside your own CI rather than just an in-IDE assistant, GitHub's official changelog now documents that GitHub Agentic Workflows is in public preview (github.blog changelog, "Agentic workflows no longer need a personal access token", read HTTP 200 on 2026-06-18 KST; companion entry "GitHub Agentic Workflows is now in public preview", HTTP 200 same pass). This is one more surface to weigh — separate from the in-IDE agent mode and the coding/cloud agent above.

• What the workflow does, and where it runs. Per the preview entry, "With agentic workflows, you can automate reasoning-based tasks like issue triage, CI failure analysis, and documentation updates by leveraging coding agents inside GitHub Actions." Because they are implemented as Actions, the entry notes "they reuse your existing runner groups and policy constraints" — so they inherit, rather than bypass, the Actions security and access controls your org already governs.
• Session/token boundary to review. Per the token entry, "You can now use GitHub Agentic Workflows with GitHub Actions's built-in GITHUB_TOKEN," which means "you no longer need to create and store a personal access token (PAT), eliminating the operational and security risks of managing long-lived PATs." For evaluation, that turns a key question into: which identity and scopes the workflow runs under, and how org billing is gated — per the entry, organization billing requires enabling the "Allow use of Copilot CLI billed to the organization" policy and adding copilot-requests: write to the workflow frontmatter permissions.
• Public preview, human review still applies. This is a public-preview capability, so confirm current behavior on GitHub's official changelog and docs before relying on it, and keep the same review discipline as any agent surface: an agentic workflow's output is a proposal to review and test, not an unreviewed change. Match the surface — in-IDE agent mode, the coding/cloud agent, or an Actions-run agentic workflow — to where your team actually works and governs access.

Source-backed freshness note drawn from GitHub's own changelog. No benchmark, ranking, price, quota, speed, model-availability, or superiority claim is made here; vendor positioning is reported as vendor evidence only, and public-preview specifics are routed to GitHub's official changelog and docs.

Source-freshness note (2026-06-24)

If you are evaluating GitHub Copilot as an agent-workflow, code-review, security, and enterprise surface — and want to verify its plans yourself — a 2026-06-23 KST source gate confirms GitHub's own surfaces for doing that evaluation are reachable and stable. The Copilot product page (github.com/features/copilot, titled "GitHub Copilot · Your AI pair programmer · GitHub", HTTP 200), the plans & pricing page (github.com/features/copilot/plans, titled "GitHub Copilot · Plans & pricing · GitHub", HTTP 200), and the GitHub Changelog (github.blog/changelog, H1 "Changelog", HTTP 200) all loaded as full pages in the same pass.

• Evaluate the agent, review, security, and enterprise surfaces at the source. Copilot's product page continues to surface its agent-workflow, code-review, security, and enterprise framing. Read those surfaces on GitHub's own pages and decide whether each fits how your team actually works — don't infer current capabilities from this page.
• Verify plans and pricing on the plans page, not here. The plans & pricing surface remained reachable (HTTP 200). It — not this page — is where to confirm current plan names, prices, quotas, included models, and per-tier feature gating before you rely on any figure, including the ones quoted lower on this page once they are more than ~90 days old.
• Track changes on the official changelog, and keep a human in the loop. New agent/workflow capabilities ship and change on GitHub's official changelog; confirm preview-vs-GA status there. Treat any Copilot output — completions, chat, or an agent's proposed changes — as a draft your team reviews, tests, and approves before it merges or ships. The vendor's positioning is not a guarantee about any specific run.

Source-backed freshness note: a 2026-06-23 KST reachability/title/H1 recheck of GitHub's own Copilot product, plans, and changelog surfaces (from the agent-workflow source gate). No price, quota, per-plan feature, model-availability, benchmark, ranking, speed, accuracy, or superiority claim is made here; volatile specifics are routed to GitHub's official pages, and vendor positioning is reported as vendor evidence only.

Buyer control and the review boundary

If you are evaluating GitHub Copilot as a buyer rather than an individual user, the deciding question is usually not "can the tool write code?" but "who stays in control of what it produces, and where does the review boundary sit?" This page makes no benchmark, ranking, or superiority claim; it only frames the control questions to ask, and routes the answers to your own repository and review practice plus GitHub's official surfaces. <span id="github-copilot-review-boundary-2026-06-27"></span>

• Buyer control over what each surface may do. Completions, chat, agent mode, the coding/cloud agent, and (in public preview) Agentic Workflows are different surfaces with different blast radius — match each to where your team actually works, and decide which you enable and which identity and scopes they run under before you adopt. As the source-freshness notes above describe from GitHub's own documentation, agentic surfaces "reuse your existing runner groups and policy constraints" rather than bypassing them, so the controls your org already governs are the controls that apply.
• Human review owns correctness. Every Copilot surface produces drafts, not finished commits. Decide in advance who reviews each change — the prompting developer, a second reviewer, or both — and treat that human review as a required step. The same caveats in Cons and caveats (subtly wrong edits, missed edge cases, insecure defaults) are why the reviewer, not the tool, owns whether a change is correct.
• Repository and pull-request review boundary. As noted above from GitHub's documentation, the coding agent's work lands as a branch and a reviewable pull request, not a direct push to your default branch — "You can review the diff, iterate, and create a pull request when you're ready." Keep that output inside the same pull-request and code-review process you already use for human work, so the review boundary sits in one place rather than scattered across surfaces.
• Generated-code acceptance and CI/test review before merge. Accepting a suggestion or an agent's diff is the start of review, not the end of it. Decide which checks must pass before anything merges — your existing CI, tests, security scanning, and licensing review — and set them as gates on the pull request rather than conventions. For anything touching security-sensitive code, shared infrastructure, or release-bound branches, make human approval a hard gate before merge.
• How to compare against adjacent routes. The control/review boundary is a fair axis to compare tools on, not just a Copilot concern. Use the same questions when you weigh Copilot against an AI-first editor on Cursor vs GitHub Copilot, a self-hosted or data-isolation deployment on Tabnine vs GitHub Copilot, a browser-based environment on GitHub Copilot vs Replit AI, or a general reasoning-and-coding assistant on Claude vs GitHub Copilot. To browse the field by job rather than a single head-to-head, start from the AI Coding Assistants category.

Evergreen decision framing only. No price, quota, plan entitlement, model availability, benchmark, ranking, speed, accuracy, security-certification, or legal claim is made here; verify current plan inclusions and data-handling on GitHub's official pages, and confirm how each Copilot surface fits your repository and review process against your own practice.

What is GitHub Copilot?

GitHub Copilot is an AI pair-programming assistant built by GitHub (a Microsoft company). It started as inline code completion inside supported IDEs and has expanded into a broader suite that includes:

• Inline code completion in supported editors (e.g., VS Code, JetBrains IDEs, Neovim, Visual Studio).
• Chat-based explanations, refactors, test generation, and Q&A about code.
• GitHub-side features such as pull-request assistance, code-review aids, and CLI integrations.

The official product page lives at https://github.com/features/copilot. Copilot's feature surface has grown rapidly, and specific feature names (and which tier they live in) have changed multiple times. Treat any third-party material older than a quarter as potentially stale.

• Vendor: GitHub (Microsoft)
• Official homepage: https://github.com/features/copilot
• Category: AI Coding Assistants

Main use cases

• Use case 1 — Inline code completion in supported IDEs: suggesting the next few lines of code as you type, including boilerplate, common patterns, and repetitive transformations.
• Use case 2 — Chat-based explanations and refactors: asking Copilot Chat to explain unfamiliar code, propose a refactor, write a test, or walk through a bug. The chat surface lives both inside the IDE and on GitHub itself.
• Use case 3 — Pull-request assistance on GitHub: generating PR descriptions, surfacing change summaries, and assisting reviewers with context. Specific PR features and their tier requirements should be verified on the official site.

Pricing and plans

The values below were read directly from github.com/features/copilot/plans on 2026-05-22 KST. Plan names, included features, and regional availability have changed multiple times in this product, so reconfirm with the official page before quoting these numbers more than ~90 days from now.

• Free — $0. 50 agent-mode or chat requests per month, 2,000 completions per month, access to a listed model set (Haiku 4.5, GPT-5 mini, and others as enumerated on the page), Copilot CLI, no credit card required.
• Pro — $10/user/month. Aimed at individual developers; broader feature access than Free.
• Pro+ — $39/user/month. Higher individual tier; the page enumerates additional model access and quotas beyond Pro.
• Business and Enterprise — listed on the page; pricing not visible in the section read. Use these for seat management, admin controls, and enterprise data-handling commitments — confirm specifics directly with GitHub.

Supported editors listed on the same page include: Visual Studio Code, Visual Studio, Xcode, JetBrains IDEs, Neovim, Eclipse, Raycast, SQL Server Management Studio, and Zed (with Vim and Azure Data Studio also referenced in supporting text). When evaluating Copilot for an organization, also verify directly:

• Which features (chat, agentic features, advanced models) are gated to which tier.
• Data-handling and code-snippet retention policy per tier.
• IDE coverage (which editor extensions support which features at your tier).
• Regional plan availability.

Source: live page-body read of https://github.com/features/copilot/plans on 2026-05-22 KST. Business/Enterprise dollar amounts and region-specific pricing were not in scope of this fetch.

Pros

• Tight integration with GitHub itself is unique to Copilot — competing tools can wrap an IDE but cannot wrap the GitHub repo, PR, and review surfaces in the same way.
• Wide IDE coverage means a team does not need to switch editors to adopt it.
• Multiple paid tiers map cleanly onto procurement realities (individual, team, enterprise) and an enterprise tier exists for organizations that need it.

Cons and caveats

• Code-generation tools have outstanding legal questions around training-data sourcing and code license. Do not assert legal conclusions on a tool review page; consult counsel before relying on AI-generated code for license-sensitive work.
• Generated code can be subtly wrong (mishandled edge cases, off-by-one, missed null checks, insecure defaults). Treat all suggestions as proposals that require human review and testing — not as finished code.
• Enterprise data-handling differs by SKU. Public documentation on the official GitHub Copilot docs site is the only authoritative source on what Copilot does or does not retain for which plan.
• IDE coverage and feature parity are not uniform. A feature that works in VS Code may lag in another IDE; verify at adoption time.
• Adopting Copilot does not eliminate the need for code review, tests, security scanning, or licensing review. It is a productivity layer, not a guarantee of correctness.

Alternatives

• Cursor — better if you want an AI-first editor (a VS Code fork built around AI workflows, multi-file edits, and codebase chat) rather than an extension layered on a general editor.
• Tabnine — better if your organization requires self-hosted or private-model deployments, or strict enterprise data isolation.
• Replit AI — better for browser-based development, education, hobbyist projects, and quick prototypes where the entire dev environment lives in the browser.
• Claude (general assistant) — better if your top need is broader: long-context reading, design discussions, and writing, with coding as one of several tasks.

Where to compare GitHub Copilot next

If Copilot is already on your shortlist, the next question is usually "against what, and for which job?" These side-by-side pages are organized by workflow fit, not by a winner — each one walks through where one tool's shape suits a particular task better than the other, so you can follow the path that matches how your team actually works:

• Cursor vs GitHub Copilot — when you are deciding between an AI-first editor built around multi-file edits and codebase chat versus an assistant layered into the IDE you already use.
• Tabnine vs GitHub Copilot — when self-hosted or private-model deployment and strict code isolation are the deciding constraints rather than raw feature breadth.
• GitHub Copilot vs Replit AI — when your work is browser-based, educational, or prototype-first and the whole dev environment may live in the browser.
• GitHub Copilot vs Microsoft Copilot — when the question is in-editor code generation versus a Microsoft 365 assistant that appears across Word, Excel, Outlook, and Teams.
• Claude vs GitHub Copilot — when you are weighing an in-editor coding assistant against a general reasoning assistant where coding is one of several jobs.
• GitHub Copilot vs Gemini — when how much of your day already lives inside the Google ecosystem is part of the trade-off.
• Zapier AI vs GitHub Copilot — when your job leans toward connecting apps and automating multi-step workflows rather than generating code inside an editor.

To browse the whole field rather than a single head-to-head, start from the AI Coding Assistants category. These links are decision paths, not rankings — no benchmark, price, quota, speed, or model-availability claim is made here; the comparison pages route any such specifics to the official sources.

Who should not use GitHub Copilot

• Teams whose code license or compliance posture is incompatible with sending source code to third-party AI services; verify the data-handling policy of the specific Copilot SKU you would purchase before adopting.
• Beginners who have not yet learned the underlying language; uncritical accept-all use of suggestions can cement subtle bugs and bad patterns.
• Organizations that have already standardized on a different AI coding assistant and would only fragment workflows by adding Copilot in parallel.

Author selection rubric

Choose GitHub Copilot when at least two of these are true:

• Your repos and review process already live on GitHub.
• Your developers want AI assistance to appear in their existing IDE rather than in a new editor.
• You can pay for and govern a paid tier with the data-handling policy you need.

Avoid GitHub Copilot when any of these are true:

• Your team is on a different code host and wants an AI assistant tuned to that host's surfaces.
• You require self-hosted or private-model deployment that Copilot's plans do not provide.
• Your top requirement is a general-purpose chat assistant rather than in-editor code generation.

Sources

• Official feature page: https://github.com/features/copilot — recorded as src-github-copilot-needs-verify in data/sources.json with access_status = ok.
• Official plans page: https://github.com/features/copilot/plans — recorded as src-github-copilot-plans-2026-05-22 in data/sources.json with access_status = ok after a 2026-05-22 page-body read; this is the source for every plan, price, Free-tier quota, and editor list quoted on this page.
• Official documentation: https://docs.github.com/en/copilot/concepts/agents/cloud-agent/about-cloud-agent ("About GitHub Copilot cloud agent") — recorded as src-github-copilot-coding-agent-2026-06-13 in data/sources.json with access_status = ok after a 2026-06-13 KST HTTP 200 read; source of the "Source-freshness note (2026-06-13)" section, supporting only that GitHub documents a Copilot coding/cloud agent whose changes land via a branch and reviewable pull request, distinct from in-IDE agent mode. Used as vendor evidence only; no pricing, plan, model-availability, benchmark, ranking, speed, or superiority claim is drawn from it.
• Official changelog: https://github.blog/changelog/2026-06-11-agentic-workflows-no-longer-need-a-personal-access-token/ ("Agentic workflows no longer need a personal access token") with companion https://github.blog/changelog/2026-06-11-github-agentic-workflows-is-now-in-public-preview/ ("GitHub Agentic Workflows is now in public preview") — recorded as src-github-copilot-agentic-workflows-2026-06-18 in data/sources.json with access_status = ok after a 2026-06-18 KST HTTP 200 read of both; source of the "Source-freshness note (2026-06-18)" section, supporting only that GitHub documents Agentic Workflows in public preview that run as GitHub Actions (reusing existing runner groups and policy constraints), can use the built-in GITHUB_TOKEN instead of a stored PAT, and gate organization billing behind a Copilot policy plus a copilot-requests: write frontmatter permission. Used as vendor evidence only; no pricing, plan, model-availability, benchmark, ranking, speed, or superiority claim is drawn from it, and public-preview specifics are routed to GitHub's official changelog and docs.
• Official source-gate reachability recheck (2026-06-23 KST): https://github.com/features/copilot ("GitHub Copilot · Your AI pair programmer · GitHub"), https://github.com/features/copilot/plans ("GitHub Copilot · Plans & pricing · GitHub"), and https://github.blog/changelog/ (H1 "Changelog") — recorded as src-github-copilot-source-gate-2026-06-24 in data/sources.json with access_status = ok after 2026-06-23 KST HTTP 200 reads in the agent-workflow source gate (data/agent-workflow-source-gate-2026-06-23-1007.json, records github_copilot_main, github_copilot_plans, github_changelog); source of the "Source-freshness note (2026-06-24)" section. Durable reachability/title/H1/marker evidence only — no price, quota, plan, model-availability, benchmark, ranking, speed, accuracy, or superiority claim is drawn from it; the 2026-05-22 page-body read remains the source of every plan/price quoted on this page.

Internal links (at least 3)

• Category page: /ai-coding/
• Alternative tool: /tools/cursor/
• Comparison pages: /compare/cursor-vs-github-copilot/, /compare/tabnine-vs-github-copilot/, /compare/github-copilot-vs-replit-ai/, /compare/github-copilot-vs-microsoft-copilot/, /compare/claude-vs-github-copilot/, /compare/github-copilot-vs-gemini/, /compare/zapier-ai-vs-github-copilot/

Disclosure

• Affiliate links: none.
• Sponsored content: none. GitHub and Microsoft have no relationship to this page.
• Generative AI assistance: this draft was assembled with the help of an AI assistant working from the HMP source records.

Trademark notice

GitHub and Copilot are trademarks of GitHub / Microsoft. Use here is referential only and does not imply endorsement, partnership, or affiliation.

Update log

• 2026-06-27 (qualified-traffic/decision-content increment — evergreen, LIVE deployed on aistackdb.com, NOT a new revenue page/product/outreach): added a compact "Buyer control and the review boundary" section after the "Source-freshness note (2026-06-24)" section and before "## What is GitHub Copilot?", carrying the durable marker github-copilot-review-boundary-2026-06-27 once (as a <span id> anchor). The section helps AI Stack DB readers evaluate GitHub Copilot by control/review boundaries — buyer control over which surface is enabled and under which identity/scopes, who owns human review of correctness, how the repository/pull-request review boundary is held, generated-code acceptance, and CI/test review before merge — and reuses only this page's own existing context (the GitHub-documentation framing already in the source-freshness notes, including the "review the diff … create a pull request when you're ready" and "reuse your existing runner groups and policy constraints" wording) plus the Cons and caveats anchor. Links only existing local routes already in this content package: /compare/cursor-vs-github-copilot/, /compare/tabnine-vs-github-copilot/, /compare/github-copilot-vs-replit-ai/, /compare/claude-vs-github-copilot/, and the /ai-coding/ category. No source was fetched. No price, quota, plan entitlement, model availability, benchmark, ranking, speed, accuracy, superiority, security-certification, or legal claim was added; no Gumroad/UTM/affiliate/sponsored/coupon/checkout link added. data/tools.json, data/sources.json, and last_verified_at are unchanged; content_status stays qa_passed. Revenue inventory unchanged (18 tool + 51 comparison = 69 qa_passed pages). Hermes later uploaded the production ZIP through the visible Cloudflare Dashboard static-assets flow; public /tools/github-copilot/ served the marker/heading on 2026-06-27 KST.
• 2026-06-24 (source-freshness/traffic refresh — local source-gate recheck, NOT a new revenue page, NOT a deploy): added a compact "Source-freshness note (2026-06-24)" section after the "Source-freshness note (2026-06-18)" section (before "## What is GitHub Copilot?"), framing GitHub Copilot as an agent-workflow / code-review / security / enterprise surface whose plans should be verified at GitHub's own pages, with agent/Copilot output still needing human review and testing and no independent ranking or benchmark. Evidence: the 2026-06-23 KST agent-workflow source gate (data/agent-workflow-source-gate-2026-06-23-1007.json) found GitHub's official surfaces reachable (HTTP 200) — https://github.com/features/copilot (title "GitHub Copilot · Your AI pair programmer · GitHub", body-sample SHA-256 prefix 86faf6b5e632947e), https://github.com/features/copilot/plans (title "GitHub Copilot · Plans & pricing · GitHub", prefix 07690dbbcd439b50), and https://github.blog/changelog/ (H1 "Changelog", prefix 025b096b8ddadaf9). Recorded as src-github-copilot-source-gate-2026-06-24 (source_type = official_homepage, access_status = ok) and added to the github-copilot sources_used, plus a Sources bullet. Durable reachability/title/H1/marker evidence only: no exact price, quota, per-plan feature, model-availability, benchmark, ranking, speed, accuracy, or superiority claim was added, and the 2026-05-22 page-body read remains the source of every plan/price quoted here. No commerce, tracking, affiliate, sponsored, or coupon link added; data/tools.json and last_verified_at unchanged; still qa_passed, still 1 of the 18 tool pages. Local increment only — not a deploy.
• 2026-05-22 (draft): first local draft created from templates/tool-page-template.md. content_status = drafted.
• 2026-05-22 (qa pass): live page-body read of https://github.com/features/copilot/plans added concrete Free/Pro/Pro+ plan names and prices, Free-tier quotas, and the list of supported editors. New source entry added (src-github-copilot-plans-2026-05-22, access_status = ok). data/tools.json pricing_summary, has_free_plan = true, confidence_score, and last_verified_at refreshed. Section A1/A2 of qa/adsense-seo-quality-gate.md now satisfied. content_status advanced to qa_passed.
• 2026-06-18 (source-freshness refresh — local increment, NOT a new revenue page): added a compact "Source-freshness note (2026-06-18)" section after the "Source-freshness note (2026-06-13)" section, focused on the agent workflow + review/security/session/token boundary. Frames GitHub Agentic Workflows (public preview) from GitHub's own changelog: agentic workflows automate reasoning-based tasks "by leveraging coding agents inside GitHub Actions" and, as Actions, "reuse your existing runner groups and policy constraints"; they "can now use … built-in GITHUB_TOKEN" so a stored PAT is no longer required; and organization billing is gated behind the "Allow use of Copilot CLI billed to the organization" policy plus a copilot-requests: write frontmatter permission. Helps the buyer decide which identity/scopes/billing boundary to review before adopting agentic workflows, and reiterates public-preview + human-review caveats. Evidence: 2026-06-18 KST HTTP 200 reads of https://github.blog/changelog/2026-06-11-agentic-workflows-no-longer-need-a-personal-access-token/ (title "Agentic workflows no longer need a personal access token - GitHub Changelog", 200000-byte body-sample SHA-256 e612e7da0c16c55b5e3d34d19cb62be5a84ee0c0e9f6d1b2b50db261e026e529) and the companion https://github.blog/changelog/2026-06-11-github-agentic-workflows-is-now-in-public-preview/. Added one source to data/sources.json (src-github-copilot-agentic-workflows-2026-06-18, source_type = changelog, access_status = ok) and to the github-copilot sources_used, plus a Sources bullet. Vendor evidence only, not an independent ranking. No benchmark, ranking, price, quota, Free-tier-limit, speed, model-availability, or superiority claim added; No commerce, tracking, affiliate, sponsored, or coupon link added; data/tools.json and last_verified_at unchanged. Still qa_passed, still 1 of the 18 tool pages.
• 2026-06-13 (source-freshness refresh — LIVE deployed on Cloudflare static-assets upload, NOT a new revenue page): added a compact "Source-freshness note (2026-06-13)" section after "## Quick verdict" (before "## What is GitHub Copilot?"), framing GitHub Copilot as an IDE/GitHub coding-agent workflow from GitHub's official documentation page "About GitHub Copilot cloud agent" (src-github-copilot-coding-agent-2026-06-13, https://docs.github.com/en/copilot/concepts/agents/cloud-agent/about-cloud-agent, access_status = ok after a 2026-06-13 KST HTTP 200 read; the requested /coding-agent/about-coding-agent URL redirects to this canonical /cloud-agent/about-cloud-agent page). Covers the two surfaces (GitHub Actions–powered coding agent vs in-IDE agent mode), that agent changes land via a branch and reviewable pull request needing human review/test/approval before merge, and that pricing/plan/model availability must be confirmed on official pages — vendor evidence only, no independent ranking. Added one source to data/sources.json and the github-copilot sources_used. No pricing row changed; no benchmark, ranking, price, quota, speed, model-availability, or superiority claim added; No commerce, tracking, affiliate, sponsored, or coupon link added; data/tools.json and last_verified_at unchanged. Revenue inventory unchanged (18 tool + 51 comparison = 69 qa_passed revenue pages, plus 5 site_page drafts). Hermes verified and deployed this update on 2026-06-13 KST; live /tools/github-copilot/ returned HTTP 200 with the new source-freshness markers present.
• 2026-06-03 (internal-link/traffic refresh — LIVE deployed on Cloudflare version 9ffa100f, NOT a new revenue page): added a "Where to compare GitHub Copilot next" section (placed after "## Alternatives", before "## Who should not use GitHub Copilot") linking seven qa_passed GitHub Copilot comparison pages — /compare/cursor-vs-github-copilot/, /compare/tabnine-vs-github-copilot/, /compare/github-copilot-vs-replit-ai/, /compare/github-copilot-vs-microsoft-copilot/, /compare/claude-vs-github-copilot/, /compare/github-copilot-vs-gemini/, /compare/zapier-ai-vs-github-copilot/ — plus the /ai-coding/ category, framed as workflow-fit decision paths rather than rankings. Expanded the "Internal links" comparison row from the single /compare/cursor-vs-github-copilot/ entry to those seven Copilot comparisons. No source was fetched and no volatile claim was added: no benchmark, ranking, price, quota, Free-tier limit, speed, or model-availability fact is asserted, and no commerce/tracking/affiliate/sponsored/coupon CTA was added to this page. data/sources.json, data/tools.json, and last_verified_at are unchanged. Revenue inventory unchanged (18 tool + 51 comparison = 69 qa_passed pages). Live /tools/github-copilot/ returned HTTP 200 with marker count 2.