Sourcegraph Cody

Cody's pitch is simple: it knows your entire codebase, not just the file you're editing. That context awareness is the autonomy hook. When you ask "where do we handle authentication?", it searches across repos using Sourcegraph's code graph, then answers with actual file paths and snippets. This beats ChatGPT-in-an-editor tools that only see what you paste. I've used it most on a sprawling Django monolith where grep fails and institutional knowledge lives in three people's heads. Cody's codebase Q&A shines here. Ask "how does the billing webhook retry logic work?" and it traces through models, tasks, and config files to give you a coherent answer. The autocomplete is fine, nothing special, but the chat with full repo context is genuinely useful when onboarding or debugging unfamiliar modules. The refactoring commands ("extract this to a function", "add error handling") work across multiple files if you select them. That's more autonomous than Copilot's single-file edits, though less ambitious than Cursor's multi-file diffs. Cody will propose changes, you review, it applies them. No magic, but it saves the tedious part of renaming a function in twelve places. Failure modes: it hallucinates less than raw GPT-4 because it's grounded in real code, but it still invents method names occasionally. The free tier caps context window size, so massive monorepos hit limits fast. Enterprise pricing unlocks better models and more context, but at that point you're paying Sourcegraph rates. Versus Cursor: Cursor feels faster for greenfield work and has better multi-file editing UI. Cody wins if you already use Sourcegraph for code search, or if your codebase is large and poorly documented. Versus Copilot: Copilot's autocomplete is snappier, but Cody's whole-repo awareness makes it better for understanding existing systems. The JetBrains and VS Code extensions are solid. The web version exists but feels like an afterthought. If you're on a small team with a tidy codebase, Copilot or Cursor will do. If you're wading through enterprise spaghetti, Cody's context engine earns its keep.