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The Defensive AI Routine: 5 Steps to Stop LLM Hallucinations

"AI did it" is not an excuse when production money is on the line.

While handwritten code has become an expensive luxury, blind reliance on Large Language Models (LLMs) is a fast track to architectural ruin. In complex, multi-repository systems like my crypto-trading analytics engine, Colossus, a 95% correct solution is a complete failure. If you treat AI like a magic wand, you are simply accelerating code entropy by a factor of ten.

In this episode, I break down the 5-step defensive AI routing I use to keep my codebase strict, predictable, and production-ready. We move past the standard "hype" and look at how to properly handle LLM context degradation, slice specs effectively, and use tool-agnostic engineering skills to force AI into doing actual, high-quality refactoring.

📊 Connect & Access Resources
Automated Trading & Analytics: Join the Telegram channel for weekly crypto market analytics, algorithmic insights, and BTC trading grid setups powered by Colossus: https://t.me/ColossusTerminal

Main Channel: Subscribe for more tech-driven trading engineering: https://www.youtube.com/@YuriyDadichin

⏱️ Timestamps
00:00 - The Cost of "Good Enough" Code
00:37 - Tip 1: The "Grill Me" Routine (Extracting Precision)
01:44 - Tip 2: Task Focus & Context Harnessing
02:22 - Tip 3: Managing Context Corruption in Claude Code
03:06 - Tip 4: Engineering Virtual Workspaces (Colossus Architecture Deep Dive)
04:06 - Tip 5: Combating 10x Code Entropy with Structured Refactoring

🛠️ Mentioned Links & Repositories
Matt Pocock’s "Grill Me" Skill:
https://github.com/mattpocock/skills/blob/main/skills/productivity/grill-me/SKILL.md

Matt Pocock’s "Improve Codebase Architecture" Skill:
https://github.com/mattpocock/skills/blob/main/skills/engineering/improve-codebase-architecture/SKILL.md

If you are currently transitioning your stack or building algorithmic trading tools in public, drop your AI testing setups and refactoring approaches in the comments below.

#AlgorithmicTrading #SoftwareEngineering #LLM #ColossusProject #CryptoTrading #CleanCode #GitHubCopilot #ClaudeCode

Видео The Defensive AI Routine: 5 Steps to Stop LLM Hallucinations канала Yuriy Dadichin
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