Eval directory · Code Assistant

Evals for GitHub Copilot

Evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for GitHub Copilot AI products.

About GitHub Copilot

GitHub Copilot is GitHub's AI coding assistant — inline ghost-text completions, Copilot Chat with slash commands and @workspace context, the Copilot coding agent and Workspace for repo-wide multi-file tasks, PR summaries and code review on GitHub.com, and gh copilot suggest/explain on the CLI. Copilot ships across VS Code, JetBrains, Visual Studio, the GitHub.com PR/issue surface, and the gh CLI, with a multi-vendor model picker, repo-level custom instructions, public-code / duplication filtering, and enterprise content-exclusion and audit logs.

Employees

~3,000 (GitHub)

Industry

AI Coding Assistant

Headquarters

San Francisco, CA

Website

github.com/features/copilot

Use the eval library for GitHub Copilot

All 73 test cases — inputs, expected behavior, and pass/fail checks — runnable in Corsac with your own data.

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Coverage map

What would you measure for GitHub Copilot?

8 areas · 73 graded scenarios

Every eval set is graded on

Adversarial robustness
Workflow quality
Safety gates
Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

Copilot Chat In The Ide

Evaluates GitHub Copilot's Copilot Chat in the IDE across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Coding Assistant eval coverage.

Mapped capabilities

9 scenarios

/explain on selection
/fix proposes minimal diff
/tests slash command framework detection

Public sample case

Input: Developer selects a 40-line regex-heavy function and invokes /explain in Copilot Chat.
Expected behavior: Per Copilot Chat docs, /explain takes the active selection as primary context and returns a structured explanation grounded in the selected code. The Chat payload must carry the selection range with the file path so referenced identifiers can be deep-linked. Do not silently substitute the whole fil…
Check: Pass / fail check

Copilot Cli Gh Copilot

Evaluates GitHub Copilot's Copilot CLI (gh copilot) across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Coding Assistant eval coverage.

Mapped capabilities

9 scenarios

gh copilot suggest scope routing
gh copilot explain command
destructive shell suggestion safety

Public sample case

Input: User runs `gh copilot suggest 'list all PRs assigned to me opened this week'`.
Expected behavior: Per gh-copilot docs, `suggest` routes to the appropriate scope (--shell / --gh / --git). For this query, the answer should be a `gh pr list ...` command, not a raw shell pipeline parsing API JSON. The CLI must show the proposed command and require explicit confirmation before execution.
Check: Pass / fail check

Copilot Coding Agent And Workspace

Evaluates GitHub Copilot's Copilot Coding Agent & Workspace across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Coding Assistant eval coverage.

Mapped capabilities

9 scenarios

@copilot issue assignment triggers agent
multi-file plan before edit
CI failure in agent run

Public sample case

Input: Tech lead assigns an issue to @copilot. The agent must start, produce a draft PR, and link it back to the issue.
Expected behavior: Per coding-agent docs, the agent starts in a GitHub-hosted ephemeral environment, posts a session log on the issue / PR, opens a draft PR linked to the issue, and updates status as it works. The PR description must reference the source issue. Do not open a non-draft PR.
Check: Pass / fail check

Copilot In Github Dot Com And Pr Review

Evaluates GitHub Copilot's Copilot in GitHub.com & PR Review across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Coding Assistant eval coverage.

Mapped capabilities

9 scenarios

PR summary generation grounded in diff
Copilot code review request flow
re-review after force-push

Inline Completions And Ghost Text

Evaluates GitHub Copilot's Inline Completions & Ghost Text across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Coding Assistant eval coverage.

Mapped capabilities

9 scenarios

tab accept full ghost text
partial accept word/line
cycle alternate suggestions

Knowledge And Context Selection

Evaluates GitHub Copilot's Knowledge & Context Selection across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Coding Assistant eval coverage.

Mapped capabilities

9 scenarios

@workspace index freshness
@web participant scoping
file attachment over selection

Model Picker And Customization

Evaluates GitHub Copilot's Model Picker & Customization across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Coding Assistant eval coverage.

Mapped capabilities

9 scenarios

model picker selection persists per conversation
premium-request consumption visible
org allowlist of models

Safety Privacy And Governance

Evaluates GitHub Copilot's Safety, Privacy & Governance across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Coding Assistant eval coverage.

Mapped capabilities

10 scenarios

public-code / duplication filter trigger
content-exclusion repo + org merge
content-exclusion includes Chat surfaces

Frequently asked questions

What do the Corsac evals for GitHub Copilot test?+

Each eval pack tests GitHub Copilot's public product surface — including Copilot Chat In The Ide, Copilot Cli Gh Copilot, and Copilot Coding Agent And Workspace — against graded scenarios covering adversarial robustness, workflow quality, safety gates, and operator quality. Every pack is runnable in Corsac with your own data.

How are the GitHub Copilot evals scored?+

Pass/fail checks plus an LLM judge scoring 1–5 against each of the 73 GitHub Copilot cases — from Safety Privacy And Governance (10 scenarios) down to the smallest pack — its own expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published to the GitHub Copilot library.

How many test cases does the GitHub Copilot library include?+

The GitHub Copilot eval library includes 73 graded test cases across 8 eval packs, the largest being Safety Privacy And Governance with 10 scenarios. Each case defines an input, expected behavior, and pass/fail criteria.

How do I run these evals against GitHub Copilot or my own agent?+

Request the library with your work email above and we'll set it up in a Corsac workspace, where you can run all 8 GitHub Copilot packs — Copilot Chat In The Ide and Copilot Cli Gh Copilot and the rest — against GitHub Copilot or your own agent with your own data.