Show HN: How to stop Claude Code hallucinations using a CLI Truth Layer(apidog.com)
apidog.com
Show HN: How to stop Claude Code hallucinations using a CLI Truth Layer
https://apidog.com/blog/apidog-cli-claude-skills-api-test-automation-guide/
4 comments
[deleted]
I just let my agent run the tests directly, no need for a skill that I need to maintain, just put that shit in the AGENTS/CLAUDE.md
The 10x differentiator is giving the agents the language tools for the code they are working on. Compiler, linters, formatters, LSP, testing, running dev servers, logs... these allow the agent to get feedback without the human in the loop and self adjust
The 10x differentiator is giving the agents the language tools for the code they are working on. Compiler, linters, formatters, LSP, testing, running dev servers, logs... these allow the agent to get feedback without the human in the loop and self adjust
[deleted]
I finally hit a 10x velocity boost by moving away from "chatting" and implementing a Deterministic Truth Layer.
The Problem: The Vibe Coding Ceiling "Vibe coding" is great until you hit a 50-80% probabilistic success rate. If the agent doesn't have a way to verify its own logic against a real server state, it’s just guessing.
The Solution: Apidog CLI as a Claude Skill Instead of letting Claude "think" it fixed the API, I linked my terminal to the Apidog CLI guide via a custom SKILL.md.
The 10x Workflow:
The Skill: I defined my API test suite as a core Claude Skill.
The Execution: When I tell Claude to "Refactor the Auth logic," it doesn't just write code. It triggers an Automated API Testing Guide scenario through the CLI.
The Self-Correction: Claude captures the CLI output (actual JSON responses, status codes). If a test fails, the agent performs a root-cause analysis on the logs and auto-corrects before I ever see the PR.
This moves the agent from "Fuzzy Reasoning" to "Deterministic Execution." It’s the only way I’ve found to actually reach 100% autonomous code generation for production-grade APIs.
I’ve put together a quick Claude Code Tutorial on how to map these CLI skills in the comments/link below. Curious if anyone else is using MCP or custom skills to provide a "ground truth" to their terminal agents?