GitHub Copilot alternatives

+ Handles long multi-step tasks across a whole repo with strong tool use and MCP support.
− Token spend on the API plan can be high and Pro-plan rate limits reset only every five hours.

+ Startup and typing latency are far lower than any Electron-based AI editor.
− Extension ecosystem is small compared with VS Code and Windows support only arrived in 2025.

+ Tab autocomplete predicts multi-line edits across files better than any competitor.
− Usage-based pricing changes and request limits on Pro have repeatedly frustrated heavy users.

+ Works with local Ollama models or any API, with fully customisable config.
− Setup is more fiddly than Copilot and autocomplete quality depends entirely on the model you choose.

+ Cloud mode runs many tasks in parallel sandboxes and opens PRs for each.
− Native Windows support in the CLI arrived late and sandboxing can block legitimate commands.

+ MCP-first design means any MCP server becomes a Goose capability with no glue code.
− Less tuned for coding than Claude Code, so results vary widely by model.

+ Free tier gives a 1M-token context window and around 1,000 requests per day.
− Less reliable at multi-step edits than Claude Code and quietly falls back to Flash under load.

+ Runs fully unattended in its own VM with browser, shell, and editor, and reports back on Slack.
− Struggles with ambiguous tasks and the price per compute unit adds up on long sessions.

+ Reviews are context-aware across the repo and learn from your replies to comments.
− Can be noisy, posting many nitpicks per PR until you tune the config.

+ Inherits Claude Code's file, shell, and subagent tooling, so agents are production-grade on day one.
− Tied to Claude models and the Claude Code runtime rather than a provider-agnostic design.