DeepCode vs humanlayer

The two are close in size: 16.7k stars for DeepCode, 11.7k for humanlayer. Over the days we have tracked them DeepCode moved +4.1% and humanlayer +5.1%, so humanlayer is growing faster right now.

DeepCode leads on context depth and noise control and customization and privacy and model freedom and setup ease. humanlayer does not take any axis by a clear margin.

Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.

Where they stand today

DeepCode pairs multi-agent delegation and reusable SKILL playbooks with autonomous, test-driven loops and parallel workers so it can decompose large features, run them in isolation, and iterate until tests pass.

Stars
16.7k
Tracked growth
+4.1%
Maturity
●●●●●
Last commit
5d ago
Language
Python
License
MIT
Cost to run
Requires your model API key (OpenRouter or other provider)

This repository is an archived/deprecated reference implementation and public issue history that points to an actively rebuilt service at humanlayer.com.

Stars
11.7k
Tracked growth
+5.1%
Maturity
●●●●●
Last commit
4d ago
Language
TypeScript
License
NOASSERTION
Cost to run
Unclear; depends on deployment
0%+5%90 tracked days
HKUDS/DeepCodehumanlayer/humanlayer

Six axes, head to head

Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.

AxisDeepCodehumanlayer
Context depth
How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository.
●●●●●
Whole-repo analysis
●●●●●
Diff only
Noise control
How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only.
●●●●●
Permission & validation
●●●●●
No controls
Customization
How far it bends to your team: custom rules, prompts, style guides, per-path config.
●●●●●
Extensible skills & hooks
●●●●●
No customization
Privacy
Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only.
●●●●●
BYO API key
●●●●●
Third-party cloud
Model freedom
Whether you can point it at any provider, or it is wired to one.
●●●●●
Provider-agnostic (BYOK)
●●●●●
Fixed provider
Setup ease
What it takes to get a first useful run out of it.
●●●●●
Config + API key
●●●●●
Complex setup

Which one to pick

Pick DeepCode if…

Autonomous test-driven loops — pick DeepCode when you want an agent that plans, delegates across parallel workers, and iterates on a real repository until the project's tests are green.

  • Context depth: Whole-repo analysis (5/5 against 1/5)
  • Noise control: Permission & validation (4/5 against 1/5)
  • Customization: Extensible skills & hooks (5/5 against 1/5)
  • Privacy: BYO API key (3/5 against 1/5)
  • Model freedom: Provider-agnostic (BYOK) (5/5 against 1/5)
  • Setup ease: Config + API key (3/5 against 1/5)
Runs in cli, web-app, ci. Works with byok.

Pick humanlayer if…

Archived/reference — inspect historical implementation and issue history or follow the maintained rebuild at humanlayer.com rather than use this deprecated code directly.

Runs in cli. Works with other-fixed.

What people want from each one

HKUDS/DeepCode

Hacker News: DeepCode: Open Agentic Coding drew 18 points and 2 comments.

Most-wanted open issues

Questions people ask

Is DeepCode better than humanlayer?

DeepCode leads on context depth and noise control and customization and privacy and model freedom and setup ease. humanlayer does not take any axis by a clear margin. DeepCode is worth picking when autonomous test-driven loops — pick DeepCode when you want an agent that plans, delegates across parallel workers, and iterates on a real repository until the project's tests are green.

Which of DeepCode and humanlayer keeps my code private?

DeepCode: BYO API key (3/5). humanlayer: Third-party cloud (1/5).

What does each one cost to run?

DeepCode: Requires your model API key (OpenRouter or other provider). humanlayer: Unclear; depends on deployment.

Full profiles: HKUDS/DeepCode and humanlayer/humanlayer. Everything else in Autonomous SWE agents.