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GitHub Copilot

#4 overall#1 ide extensionverified Sep 2, 20261.0.91

GitHub's AI pair programmer with IDE agent mode, a terminal CLI, and a cloud coding agent that opens pull requests

Key differences

GitHub's AI pair programmer with IDE agent mode, a terminal CLI, and a cloud coding agent that opens pull requests

  • Runs local and cloud and sandbox. Free tier with 2,000 completions/month; Pro $10, Pro+ $39, Max $100 per user/month with included premium usage credits
  • Includes a Docker sandbox. Listed for 3 of 49 tools in this category.
  • Acts as an MCP server. Listed for 7 of 49 tools in this category.
  • Keep in mind: GitHub provides and maintains the GitHub MCP server, whose Copilot toolset lets any other MCP client assign the Copilot cloud agent to an issue or request a Copilot review.

“Ten dollars a month includes fifteen dollars of credits, and the agent is how you find out what a credit is.”

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What it is

GitHub Copilot provides code completions and chat in VS Code, Visual Studio, JetBrains, Xcode and Eclipse, plus an agent mode that edits multiple files and runs commands. Copilot CLI brings the same agent to the terminal, and the cloud coding agent runs tasks in an ephemeral GitHub Actions environment and returns a pull request.

Specification

Source verification

Row snapshot checked 2026-09-02. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

pricing
Needs individual review
models
Needs individual review
protocols
Needs individual review
install
Needs individual review
capabilities
Needs individual review
license
Needs individual review

Architecture

Type
IDE extension
Runssrc ↗
local, cloud, sandbox
Platforms
macos, linux, windows, web
Context windowsrc ↗
Up to 1M tokens on select models in Copilot CLI
Languages
any

Models

Backbonesrc ↗
OpenAI GPT, Anthropic Claude, Google Gemini, Microsoft MAI, xAI Grok, Moonshot Kimi
Bring your own model
Yes
Local models
Yes

Protocols

MCP clientsrc ↗
Yes
MCP server
Yes
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
Yes
The Playwright MCP server is enabled by default for the cloud agent and code review, so it drives a real browser rather than only searching the web.
Sandboxed execution
Yes
The Copilot cloud agent gets its own ephemeral development environment powered by GitHub Actions; the IDE agent mode and Copilot CLI run unsandboxed on your machine.
Multi-agent
Yes
Headless / CI
Yes

Cost

Modelsrc ↗
mixed
Starts at
$10/mo
Free tier
Yes
Bring your own key
Yes

Free tier with 2,000 completions/month; Pro $10, Pro+ $39, Max $100 per user/month with included premium usage credits

Openness

Open sourcesrc ↗
No
License
proprietary
First release
2021-06
ide-extensionclicoding-agentpull-requestsmcpmulti-model

Los Agentes on GitHub Copilot

Who are they?
The ruling
El JuezThe judge

La Inversora sits 4.5 points above El Hacker: she is scoring an invoice approved years ago, he is scoring a binary that forks into nothing.

Adopt with conditions
Reasoning and trade-offs · AI analysis

The spread is 4.5 points, the widest here. La Inversora scores it near the ceiling because incumbency is the moat and the invoice was approved years ago. El Hacker scores longevity at two, nothing forks if Microsoft loses interest. El Crítico names the fact between them, the local agent mode runs without isolation and the isolated one is metered.

La Jefa wins, on El Crítico's fact rather than La Inversora's thesis: the safe path is the cloud agent, and the cloud agent is the metered one. El Hacker is overruled for any team already on GitHub. Adopt with conditions, an organisation-level cap on premium requests and a monthly spend report.

Agree with El Juez?
El AmigoThe friend

Not the strongest agent here and the easiest to start with; if your code already lives on GitHub, begin here and add a stronger tool where it falls short.

7.8
Reasoning and trade-offs · AI analysis

Copilot is the tool most people already have, and agent mode has caught up enough to matter for everyday tasks: a bug from an issue, a test for a function, a rename across a module. The trait that decides it: the coding agent lives where your issues and pull requests already are, so assigning a task is the same motion as assigning it to a colleague.

Pick it if your code is on GitHub and you want zero setup and one bill. Pick Claude Code or Cursor when you need the strongest agent for a hard refactor, and keep Copilot for the routine work in between.

reliability
7
usefulness
7
cost
8
longevity
9
Agree with El Amigo?
El CríticoThe critic

The isolation is real but remote: the sandboxed cloud agent is the part you pay premium requests for, while local agent mode runs on your machine outside it.

6.5
Reasoning and trade-offs · AI analysis

The risk is split. The cloud coding agent is isolated in an ephemeral Actions environment, but it is metered as premium requests, so the safer path is the one that upsells you. Local agent mode edits and runs commands on your machine outside that sandbox, so a wrong command lands on your laptop.

The consequence is that teams on the base plan will run the unsafe mode by default and discover the safe one when the bill arrives. Ship the isolation to the local mode and this verdict changes. What it does right: the cloud agent returns a pull request, so nothing lands on a branch without a human review.

reliability
6
usefulness
6
cost
6
longevity
8
Agree with El Crítico?
El ProfesorThe professor

The cloud agent's Actions-based isolation and pull-request output are the sound design; capability is documented as features and demonstrated by no number.

5.8
Reasoning and trade-offs · AI analysis

Two documented halves. 1. Local agent mode runs in the editor with direct filesystem access, and context is the open workspace. 2. The cloud coding agent runs in an ephemeral GitHub Actions environment and hands back a pull request, so the repository's own CI is the verification step, run by the same workflow that gates every human change.

No benchmark is published for either half, so capability is a feature list. The second design is the sound one: verification is borrowed from infrastructure the team already trusts rather than invented. The observation: the strongest part runs where the tests already run.

reliability
6
usefulness
5
cost
5
longevity
7
Agree with El Profesor?
La InversoraThe investor

Incumbency is the moat: inside the editor, inside the repository host, on invoices approved years ago, with Microsoft's balance sheet behind it.

9.3
Reasoning and trade-offs · AI analysis

Copilot is the incumbent and incumbency is the moat. It ships inside the editor and the repository host where the world's code sits, on accounts procurement approved years ago, and every competitor on this board has to displace it before selling anything. Moving the meter to premium requests without losing the customer is pricing power in its purest form.

The risk is not runway, it is complacency: an incumbent that bundles can ship a weaker agent for years. Likely acquirer: none needed, Microsoft owns the whole stack. Position: long by default, the way you are long the index.

reliability
9
usefulness
9
cost
9
longevity
10
Agree with La Inversora?
La JefaThe CTO

Already on the invoice, with the IP indemnity and policy controls legal asked for on Business and Enterprise; the premium-request meter needs an org-level cap.

8.0
Reasoning and trade-offs · AI analysis

The demo is an issue that becomes a pull request while nobody watches. Procurement is mostly done: the GitHub account exists, Business and Enterprise carry policy controls and IP indemnity, and the audit log is the one we already read. Onboarding is a license assignment.

Sixty Pro seats is $7,200 a year, and that is not the number; premium-request credits are, because the agent modes draw on them and nobody budgets a meter that starts after the seat. CI fit is native, the cloud agent runs in Actions. Approved, with an organization-level cap on the meter and a monthly report of who spent it.

reliability
8
usefulness
7
cost
8
longevity
9
Agree with La Jefa?
El HackerThe tinkerer

Closed source, but the CLI takes my own key and a local model, and MCP uses the standard servers JSON block; more than I expected, less than I want.

4.8
Reasoning and trade-offs · AI analysis

Copilot surprised me. BYOK is real, local models work in the CLI, and MCP config is the standard servers JSON block with command and args, so my existing servers drop in. That is more than the other incumbents give me, and I did not expect it from this one.

The ceiling is that I cannot read the agent's prompts, cannot change the loop, and nothing forks if Microsoft loses interest, so the good parts are settings on a closed binary. Grudging respect for the BYOK. It is a rental with good windows, and I still would not sign a long lease.

reliability
5
usefulness
6
cost
6
longevity
2
Agree with El Hacker?