Harness Agentic AI Agent Best Practices And Use Case — Testing skill for Claude Code
Production-ready AI agent for UI/web testing on Amazon Bedrock AgentCore Harness — Memory, Skills, observability + Bug-Fix Agent + best practices.
How to install Harness Agentic AI Agent Best Practices And Use Case
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open timwukp/Harness-agentic-AI-agent-best-practices-and-use-case and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Harness Agentic AI Agent Best Practices And Use Case does
Production-ready AI agent for UI/web testing on Amazon Bedrock AgentCore Harness — Memory, Skills, observability + Bug-Fix Agent + best practices.
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README
AWS Bedrock AgentCore Harness — UI Test Agent
An AI agent that tests your web app like a human QA tester — then fixes the bugs it finds.
Built on Amazon Bedrock AgentCore. Runs in CI on every pull request.
🎬 Watch it work — 9 minutes, narrated
https://github.com/user-attachments/assets/e25d7708-1a75-49f5-ad90-7f7797c11306
A full walkthrough of the autonomous QA loop running against a **live production app** — no slides, no mock data. Every number on screen is read from the real AWS account. ([Also on the wiki](https://github.com/timwukp/Harness-agentic-AI-agent-best-practices-and-use-case/wiki).)
| Chapter | What you see | |
|---|---|---|
0:00 |
Use case | The app under test, and the QA debt this replaces |
0:56 |
Architecture | The five verified stages, then inside both harnesses |
2:24 |
Pipeline | ui-qa-agent.yml stage by stage — deploy then test, and the three brakes that stop a runaway loop |
4:16 |
Observability | Live invocation counts, latency, token usage, error rate |
5:06 |
Evaluation | Three online evaluators scoring the agent's own output |
5:52 |
Optimization & cost | Insights → recommendations → prompt drafts; billed vs. estimated, kept separate |
7:46 |
Results & value | A real finding, 66 evidence screenshots, and what the loop is worth |
🤖 **AI agents working on this repo:** read [`AGENTS.md`](AGENTS.md) first. It captures hard-learned facts about AWS Bedrock AgentC
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