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Daniel Cognitive

cognitivedaniel

Building Daniel — an autonomous AI software engineer that reads codebases, writes code, runs tests, and opens pull requests. 70% cheaper than Devin at equal accuracy. Benchmark: cognitivedaniel.com/devin-alternative

Models in Library1
Datasets in Library0
Models on Hugging Face1
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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Reported licenses: other. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text generation

daniel

Daniel Cognitive

Daniel is an autonomous AI software engineer built by Cognitive AI. It reads your codebase, writes code, runs tests, and opens pull requests — without you doing anything manually. 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. Daniel is 70% cheaper than Devin at the same pass rate. Daniel uses a 4-turn agentic loop: 1. Analyze — reads the issue, the failing tests, and the relevant code 2. Implement — makes the minimal code change to fix the bug 3. Test — runs the project's existing test suite to verify the fix 4. PR — opens a pull request with a…

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