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


1000+ TEAMS USE GREPTILE

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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 searches the graph

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

Graph Storage

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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 ]

Ship 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