redhat-community-ai-tools/harness-eval — Evaluate (lint, review, and security-audit) your AI coding agent harness.

Description and use

Here's a 2-3 sentence summary for the open-source project:

**Harness-Eval Project Summary**

Harness-Eval is an open-source tool that helps developers evaluate and improve the quality of their AI coding agent harness. This tool provides a comprehensive evaluation, including linting, reviewing, and security auditing, making it easier to add AI capabilities without starting from scratch. By using Harness-Eval, developers can prototype AI features, build reusable agent workflows, and evaluate model tooling with confidence.

**Value Proposition**

The value proposition of Harness-Eval lies in its ability to streamline the AI development process, allowing developers to focus on building and improving their AI models without worrying about the underlying infrastructure. By providing a comprehensive evaluation framework, Harness-Eval helps developers identify and fix issues early on, reducing the risk of errors and security vulnerabilities.

**Practical Adoption Path**

To adopt Harness-Eval, developers can follow these steps:

1. Evaluate the tool's compatibility with their existing technology stack.
2. Install and configure Harness-Eval according to the provided documentation.
3. Use the tool to evaluate their AI coding agent harness, addressing any issues or recommendations that arise.
4. Integrate Harness-Eval into their development workflow, using it to continuously monitor and improve the quality of their AI models.

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Problem

redhat-community-ai-tools/harness-eval helps add AI capability without starting from a blank model stack.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Evaluate (lint, review, and security-audit) your AI coding agent harness.

Source