codefix-env
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 6 Jul 2026. How this is checked
codefix-env is a high-performance, PyTorch-based reinforcement learning environment for automated code debugging and evaluation of LLM agents. It is compatible with OpenAI Gym and designed for AI researchers and developers working on code intelligence and agent training. The project is open source under the Apache License.
Inferred · not functionally tested
Overview
5 featuresPurpose: Evaluating and training reinforcement learning agents for automated code debugging tasks.
Inferred · not functionally tested
Audience: AI researchers and RL developers
Inferred · not functionally tested
Functions: agents
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
codefix-env is an Agent evaluation & testing project. Inferred · not functionally tested: It focuses on evaluating and training reinforcement learning agents for automated code debugging tasks. Inferred · not functionally tested: It is built as an open-source project for AI researchers and RL developers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It ships for the command line.
codefix-env first shipped in 2026. Development happens publicly on GitHub with 53 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include RL environment, automated code debugging, and LLM agent evaluation.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- RL environment
- Automated code debugging
- LLM agent evaluation
- PyTorch integration
- OpenAI Gym compatible
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about codefix-env
- What does codefix-env do?
- Inferred · not functionally tested: Codefix-env focuses on evaluating and training reinforcement learning agents for automated code debugging tasks. It is catalogued under Agent evaluation & testing on PulseGate.
- Who should use codefix-env?
- Inferred · not functionally tested: codefix-env is an open-source project built for AI researchers and RL developers.
- Does codefix-env have a free plan?
- Basis unknown · not verified: Yes — codefix-env is open source under the Apache-2.0 license and free to use.
- What platforms does codefix-env run on?
- Basis unknown · not verified: codefix-env runs on the command line.
- Is codefix-env still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 53 commits in the last 90 days.
- How long has codefix-env been around?
- codefix-env first shipped in 2026.
- Is codefix-env open source?
- Basis unknown · not verified: Yes — codefix-env is open source under the Apache-2.0 license, developed on GitHub.
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