Deeper codebase context that catches more bugs.

Greptile constructs a graph of your repo to understand what every function, file, and directory does, and how they are all connected.

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Code Context

fig 1. graph-based context visualization


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[ CODE CONTEXT ]

How it works

When you sign up, Greptile builds a complete graph of your repository containing every code element:

1
Generates docstrings

Generates docstrings for every function, class, file, and directory using AI

2
Constructs a graph

Constructs a graph capturing relationships like function calls

3
Agent assess blast radius of change

Agent can then easily search the graph to get the context it needs to review each file in the PR.

Repository Scanning

Brex logo

Despite having a tech stack that has repeatedly proven difficult for AI to grasp, Greptile has delivered consistent review insights with a good signal-to-noise ratio that has won over even our most discerning engineers.

Jarrod Ruhdland

Jarrod Ruhdland

Principal Engineer @ Brex


[ IMPACT ]

Assess the blast radius of a change

Greptile traces the full stack of a changed function to diagnose every potential bug. Detect when new code is inconsistent with existing patterns.

Assess the blast radius of a change

[ CUSTOM CONTEXT ]

Auto detect claude.md, cursorrules etc.

Instead of forcing a new standard, Greptile automatically absorbs all major AI config file formats like cursorrules, claude.md, and agents.md.

Auto-detect repo guidelines

[ DATA-DRIVEN RESULTS ]

Merge PRs faster with Greptile.

Median Time to Merge Comparison
Without Greptile20 hrs
Greptile
With Greptile1.8 hrs
Team Size vs Merge Time

[ KEEP READING ]

Explore other features at Greptile

Find out more about how teams are using Greptile


Greptile

Catch bugs humans miss with graph-based context