GitHub Copilot vs Amp

Detailed side-by-side comparison to help you choose the right tool

GitHub Copilot

πŸ”΄Developer

AI coding assistant

GitHub Copilot is a AI coding assistant for everyday coding assistance, repository-aware code review and explanations.

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Starting Price

Custom

Amp

AI coding assistant

Amp is Sourcegraph’s frontier coding agent for professional developers who want CLI-first automation, long-running agent workflows, MCP-connected tooling, plugins, and pay-as-you-go individual pricing. It is better suited to serious engineering teams than casual coding help because its value depends on terminal workflows, workspace policy, and agent supervision.

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Starting Price

Custom

Feature Comparison

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FeatureGitHub CopilotAmp
CategoryAI coding assistantAI coding assistant
Pricing Plans160 tiers6 tiers
Starting Price
Key Features
  • β€’ AI autocomplete and chat in popular IDEs
  • β€’ GitHub-native context for repositories, issues, pull requests, and actions
  • β€’ Agentic coding workflows for multi-file changes
  • β€’ CLI-first agent workflow
  • β€’ Web, CLI, and mobile agent control
  • β€’ Plugin system for events, tools, and workspace policy

πŸ’‘ Our Take

Choose Amp if you want a more agentic workflow with workspace plugins, durable agent execution, and pay-as-you-go individual pricing. Choose GitHub Copilot if your organization prioritizes broad enterprise familiarity, predictable seat-based procurement, and code suggestions inside existing editor workflows.

GitHub Copilot - Pros & Cons

Pros

  • βœ“Deep GitHub integration: code suggestions, chat, PR summaries, code review help, and repository context live where many engineering teams already work.
  • βœ“Clear plan ladder: Free, Pro at $10/month, Pro+ at $39/month, Business at $19/user/month, and Enterprise at $39/user/month.
  • βœ“MCP support in VS Code/Copilot agent workflows lets teams expose approved external tools instead of copy-pasting context manually.
  • βœ“Strong enterprise fit with policy controls, organization management, and standardized rollout across GitHub repositories.

Cons

  • βœ—Quality still depends on tests and reviewer discipline; Copilot can generate plausible but wrong code, especially in unfamiliar domains.
  • βœ—Best experience is tied to the GitHub/Microsoft ecosystem, so GitLab-heavy or JetBrains-only teams may prefer alternatives.
  • βœ—Pro+ and Enterprise pricing can add up quickly for teams that already pay for IDE, CI, and security tooling.

Amp - Pros & Cons

Pros

  • βœ“Amp supports CLI-first agent workflows and can be installed on Mac, Linux, WSL, Windows, or through Homebrew, which fits developers who live in terminal-based workflows.
  • βœ“The June 4, 2026 "Agents, Everywhere" release adds continuity across web, CLI, and mobile so developers can watch and drive agents from more than one surface.
  • βœ“Performance claims are specific: Amp says deep and rush modes now receive the first token 87% faster, entire responses are 32% faster at p50, and long-horizon tasks can reach up to a 40% end-to-end speedup.
  • βœ“Plugin extensibility is deeper than simple settings: plugins can hook into events, add tools, standardize policy, and be deployed to a workspace.
  • βœ“The public pricing message is unusually direct for this category: individuals and non-enterprise workspaces pay pass-through provider API costs with zero markup, no subscription or commitment, and a $5 minimum credit purchase.
  • βœ“Team controls include passkey-authenticated "sudo" sessions for web and mobile remote control, which is useful when organizations need stronger governance around agent actions.

Cons

  • βœ—Amp does not publish a simple fixed monthly or annual seat price, so teams must estimate usage from provider API costs and Amp credit consumption rather than a flat subscription.
  • βœ—Usage-based pricing can be harder to forecast than a flat per-seat subscription, especially for developers running long deep or rush sessions.
  • βœ—Amp is aimed at professional developers and software teams; nontechnical users will get little value from its CLI, TUI, plugin, and workspace concepts.
  • βœ—The product messaging emphasizes moving quickly with frontier models, which may be uncomfortable for teams that prefer slow-changing, highly standardized tooling.
  • βœ—Because Amp is newer and more agent-focused than mainstream editor assistants, teams may need to validate its behavior, permissions, and cost controls before replacing incumbent tools.

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