Aspect Code logoAspect Code

No more AI code chaos.

Aspect Code gives Copilot, Cursor, and Claude a structured map of your codebase so they introduce fewer bugs and touch fewer files.

60-task benchmark:5× more net tests fixed·16% less code churn·13% fewer tokens·71% fewer catastrophic failures

Spend more time shipping features and less time fixing AI's mistakes.

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Dependency graph visualization
Code findings and issues
Generated knowledge base
AI agent integration

Aspect Code inside VS Code: mapping your code, surfacing issues, generating a knowledge base for AI, and giving you codebase-aware agent prompts.

Benchmarks

Proof, not promises

We ran 60 real coding tasks with and without Aspect Code using Claude and ChatGPT. With Aspect Code, the same models achieved:

5×
more net tests fixed
Tasks were more likely to end with tests passing instead of breaking.
71%
fewer catastrophic failures
Runs that destroyed previously-passing tests dropped from 7 → 2.
16%
less code churn
Average changed lines per run: 351 → 294.
13%
fewer tokens
Average tokens per run: 2,650 → 2,297.

Why this matters:

Stop babysitting AI. Fewer broken tests means fewer hours debugging.
Ship faster. Smaller diffs = faster reviews, fewer merge conflicts, quicker deploys.
Save money. Fewer tokens per edit means lower API costs at scale.
Full benchmarking & methodology
How it works

How Aspect Code works with your AI tools

Four steps that run automatically—set up in seconds, no config. You keep using your favorite AI tools while Aspect handles the context.

1

We scan your repo

Aspect Code reads every file and builds a dependency and symbol graph using static analysis. You can explore it in the extension panel to see how modules connect and where complexity lives.

→ The AI doesn't have to rediscover your structure from scratch every time.

Dependency graph showing code connections
2

We find the risky spots

A rule engine flags hub modules, critical dependencies, security smells, dead code, and complexity hotspots. Some issues can be auto-fixed; others come with ready-made prompts to send to your AI assistant.

→ You and the AI know where risk and complexity live before any edits are made.

Code findings and issues detected by Aspect Code
3

We generate a structured knowledge base

Aspect Code maintains a .aspect/ directory of markdown files capturing module boundaries, dependencies, call flows, hotspots, and findings. It also writes instruction files for your AI tools so they read the KB before editing.

→ AI gets repo-wide context without you copying and pasting or blowing up the context window.

Generated knowledge base files
4

Your existing AI tools become safer and more precise

Keep using your AI tools as usual. Behind the scenes, they're grounded in your architecture and flows, so diffs are smaller, tests stay green more often, and edits match how your system actually works. You can also generate context-aware prompts directly from Aspect.

→ Same workflow, better results—grounded in your real architecture.

Developer using AI assistant with enhanced context
🚀 Alpha Program

Try Aspect Code free

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FAQ

Frequently Asked Questions

Everything you need to know about Aspect Code.

Have more questions? Reach out to our founder, Asa, at asa@aspectcode.com