Coding Agents/Greptile

Greptile

by Greptile

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An AI code review platform that indexes the entire codebase into a call-graph and deploys a swarm of parallel agents per pull request, catching cross-file dependency issues that diff-only reviewers miss.

Greptile was founded by Georgia Tech CS graduates in the YC W24 cohort with a clear differentiation thesis: most code review tools analyse the diff in isolation, but real bugs live in the interaction between the changed code and the code it calls. Greptile builds a language-agnostic call graph of the entire repository — every function, class, variable, and dependency — and then runs a swarm of parallel agents that perform multi-hop investigation across this graph when reviewing a PR.

Key capabilities

Codebase call-graph indexing — Before any review, Greptile constructs a structural graph of the repository that captures function call relationships, class hierarchies, and module dependencies. When reviewing a PR, agents navigate this graph to find every file that the changed code touches directly or indirectly.

Multi-agent parallel investigation — Each PR triggers multiple specialist agents running simultaneously — tracing dependencies, checking git history for related changes, following leads across files, and cross-referencing documentation. The result is a review that catches architectural issues, not just syntax errors.

Long-term memory and learning — Greptile v3 (late 2025) introduced the Claude Agent SDK for autonomous investigation and long-term memory: the agent learns from team comment patterns which findings are valuable vs. noise, improving precision over time.

Fix-with-agent integration — When Greptile identifies an issue, a "Fix with your Agent" button routes the finding with full context (file paths, line numbers, suggested fix) directly to Claude Code, Cursor, Codex, or Devin for implementation.

Autonomy level

Level 3 — Supervised agent. Review and investigation runs autonomously per PR. Greptile identifies issues but delegates code changes to external coding agents; all fixes require human approval.

Strengths

  • Call-graph approach catches cross-file dependency bugs that diff-only tools miss
  • MCP integration allows external agents to query Greptile's codebase index
  • $30M Series A from Benchmark Capital; 9,000+ teams including Stripe, Brex, Substack
  • Greptile v4 achieved 74% more addressed PR comments and 68% more positive developer replies
  • Open-source CLI (github.com/greptileai/cli) for terminal code review workflows

Limitations

  • Primarily a review tool — does not write code autonomously
  • SaaS-only; no self-hosting option
  • Pricing changed to per-review model ($1/review after 50/month) in March 2026
  • High-volume teams may find per-review pricing expensive vs. per-seat competitors