Ideas Weave Every Narrative with AI.
Your meticulously customized AI assistant is likely holding you back. Boris Cherny’s radical advice—delete your Claude.md every six months—reveals a hidden truth: customizations become technical debt as models evolve. Stop optimizing for yesterday’s weaknesses and start discovering what today’s AI can really do.
A friend showed me a security scan that Claude refused to run — but Kimi, a supposedly different model, executed it perfectly. When I chatted with Kimi, it introduced itself as Claude. This is covert model distillation: cloned frontier models that inherit all the capability, none of the guardrails. The AI safety crisis isn’t about rebellion — it’s about yes-men.
I spent 3 hours watching AI rewrite my code. All the reviews were clean. Then Claude Opus 5 found a vulnerability that would have broken my entire system. The hard truth: the bottleneck isn’t model intelligence anymore — it’s the chaotic, contradictory environments we force them to operate inside. The era of prompt engineering is over. Welcome to harness engineering.
Claude Code removed 80% of its system prompt for advanced AI models with zero performance loss. The lesson: over-constraining your AI with contradictory rules and endless examples actually degrades its judgment. Trust the model’s context, design clean interfaces, and delete everything that doesn’t belong. The best prompt is the one that gets out of the way.
I watched Claude generate 4,000 lines of code for a multiplayer game in seconds. The game worked perfectly. The code was completely unreadable. That’s when I realized: code is no longer a message to humans. It’s a conversation between machines. The future of development isn’t writing code—it’s managing the black box.
Most developers treat AI system prompts like magic spells — more words equals better results. In reality, prompt bloat is a severe anti-pattern that actively makes the model dumber, slower, and more expensive. The solution is ruthless reduction: every instruction is a tax on attention. Cut the fat, and watch your AI coding assistant finally do what you paid for.
Claude’s jargon isn’t a sign of intelligence—it’s a side effect of training data that rewards sounding smart over being clear. Users are frustrated, and they should be. Here’s why the problem exists and how to fix it.
Claude Code silently deletes your conversation history after 30 days by default. The real issue isn’t the limit—it’s the platform-centric design that treats your transcripts as disposable. One settings change saves your work, but the philosophy behind the default reveals a deeper tension between user ownership and system efficiency.
Most developers worry about AI hallucinations—but the real productivity killer is inconsistency. The same prompt gives different results each time, turning every session into a gamble. DonnyClaude solves this by turning ad-hoc Claude Code interactions into repeatable, verifiable workflows. It turns prompt engineering from a craft into an engineering discipline, letting teams build AI-assisted processes they can actually trust in production.
Claude Science is convenient, but it’s a black-box threat to scientific reproducibility. Open Science, a new open-source alternative, offers a local-first, model-agnostic research workbench that keeps your work verifiable and independent. The real battle isn’t open vs. closed AI—it’s between treating AI as an oracle and treating it as a tool you can audit.