Daniel β Autonomous AI Software Engineer
Daniel is an autonomous AI software engineer built by Cognitive AI. It reads your codebase, writes code, runs tests, and opens pull requests β without you doing anything manually.
π Try it: cognitivedaniel.com | π Benchmark: Daniel vs Devin
Benchmark results (v7, October 2026)
Daniel was tested head-to-head against Devin on 6 real bugs from popular open-source projects. Both agents received identical prompts. Each PR was graded by the project's own hidden test suite.
| Metric | Daniel | Devin |
|---|---|---|
| Pass rate | 6/6 (100%) | 6/6 (100%) |
| Total cost | $1.45 | $4.91 |
| Total time | 12m 33s | 12m 12s |
| Cost per resolved bug | $0.24 | $0.82 |
Daniel is 70% cheaper than Devin at the same pass rate.
Dataset: cognitivedaniel/daniel-benchmark-v1
How Daniel works
Daniel uses a 4-turn agentic loop:
- Analyze β reads the issue, the failing tests, and the relevant code
- Implement β makes the minimal code change to fix the bug
- Test β runs the project's existing test suite to verify the fix
- PR β opens a pull request with a clear description
The loop runs on Anthropic's Claude API. Daniel never opens a PR it hasn't verified against your tests.
Supported languages
- Python, JavaScript, TypeScript (primary)
- Java, Go, Rust (via Multi-SWE-bench tier, in testing)
Integrations
- GitHub (repos, issues, PRs)
- Jira (coming soon)
- Slack (coming soon)
- Run locally on any folder with one command
Pricing
| Plan | Price | Tasks/month |
|---|---|---|
| Starter | $20/mo | 20 |
| Pro | $100/mo | 200 |
| Enterprise | $500/mo | Unlimited |
Links
- π cognitivedaniel.com
- π Benchmark page
- π» GitHub
- π¦ Twitter / X
Citation
If you use Daniel's benchmark results in your research:
@misc{cognitive-ai-daniel-2026,
title={Daniel: Autonomous AI Software Engineer β Public Benchmark v1},
author={Cognitive AI},
year={2026},
url={https://www.cognitivedaniel.com/devin-alternative},
note={Dataset: huggingface.co/datasets/cognitivedaniel/daniel-benchmark-v1}
}