Greptile vs Continue
Detailed side-by-side comparison to help you choose the right tool
Greptile
🔴DeveloperAI Coding
AI code review agent that reads your entire codebase, comments on every PR with senior-engineer feedback, and learns your team's conventions.
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CustomContinue
🔴DeveloperAI Coding
Open-source AI code assistant for VS Code and JetBrains with a hub for custom assistants, MCP tools, prompts, and rules — the go-to when a team wants a Copilot-shaped experience they fully control.
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Greptile - Pros & Cons
Pros
- ✓Comments are grounded in full-repo context, not isolated diffs
- ✓Learns from accepted vs rejected feedback over time
- ✓Codebase chat lets new hires ask questions instead of bothering teammates
- ✓Generous free tier for individuals and OSS projects
- ✓Supports GitHub, GitLab and Bitbucket
Cons
- ✗Initial indexing of large monorepos takes time
- ✗Quality of suggestions still depends heavily on prompt context
- ✗Some teams find the volume of comments overwhelming on big PRs
- ✗Self-hosted indexing only on the Enterprise tier
Continue - Pros & Cons
Pros
- ✓Supports chat, autocomplete, edits, and agents in VS Code and JetBrains
- ✓Works with hosted, self-hosted, and local model providers
- ✓Versioned assistants package models, rules, docs, prompts, and tools
- ✓Apache 2.0 licensing gives teams meaningful control over deployment
Cons
- ✗Model and embedding configuration can be more work than a bundled assistant
- ✗Local models require capable hardware and careful quality testing
- ✗Team-tier prices and exact entitlements were not independently verified
- ✗A broad provider matrix can create inconsistent experiences across developers
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