<blockquote>
Your AI coding agent’s output quality is capped by the quality of its context. Most developers are bottlenecked here and don’t know it.
</blockquote>
<hr>
<h2>The hidden problem</h2>
Everyone debates which AI coding tool wins — Claude Code vs Cursor vs Codex. But the real reason most devs don’t get 10x results is simpler:
Their <code>CLAUDE.md</code> and <code>.cursorrules</code> are stale, generic, or missing.
Your configs were written once and haven’t kept up with your codebase. The agent confidently makes decisions based on architecture that no longer exists.
<hr>
<h2>The 5 failure modes</h2>
🚨 Stale architecture — <code>CLAUDE.md</code> says REST, you migrated to GraphQL 3 months ago
🚨 Contradictory rules — “use CommonJS” in one rule, “use ESM” in another
🚨 No MCP coverage — You’re on PostgreSQL, there’s a perfect Postgres MCP, you’ve never heard of it
🚨 Config drift — You refactor daily, configs were updated once
🚨 Team inconsistency — One dev has MCPs, another doesn’t. No source of truth
<hr>
<h2>Meet Caliber</h2>
<a href="https://github.com/rely-ai-org/caliber" target="_blank" rel="noopener nofollow">Caliber</a> is a CLI that fixes this:
<pre><code class="language-bash">npm install -g @rely-ai/caliber
caliber init
</code></pre>
It scans your project and:
<ul>
<li>✅ Generates tailored <code>CLAUDE.md</code> + <code>.cursorrules</code> for your actual stack</li>
<li>✅ Recommends MCPs matched to your dependencies</li>
<li>✅ Deletes stale/contradictory rules automatically</li>
<li>✅ Scores your setup 0–100 across 6 dimensions (offline, no LLM needed)</li>
</ul>
<hr>
<h2>The score</h2>
<pre><code>$ caliber score
Score: 87/100 Grade: A

Existence 23/25 • Config files present
Quality 22/25 • No bloat, no vague rules 
Coverage 18/20 • Dependencies reflected
Accuracy 13/15 • Paths &amp; commands actually exist
Freshness 8/10 • Config recency, no leaked secrets
Bonus 3/5 • Hooks, AGENTS.md, OpenSkills
</code></pre>
Deterministic. Works offline. No API key needed.
<hr>
Works with: Claude Code, Cursor, OpenAI Codex
🔗 <a href="https://github.com/rely-ai-org/caliber" target="_blank" rel="noopener nofollow">GitHub</a> • 📦 9.2k npm/wk • 💬 <a href="https://discord.gg/XUNaJEsw" target="_blank" rel="noopener nofollow">Discord</a> • MIT licensed
Full write-up on <a href="http://dev.to" target="_blank" rel="noopener nofollow">dev.to</a>: <a href="https://dev.to/keterslayter/your-ai-agent-is-lying-to-you-and-your-claudemd-is-why-5h90" target="_blank" rel="noopener nofollow">https://dev.to/keterslayter/your-ai-agent-is-lying-to-you-and-your-claudemd-is-why-5h90</a>

Keter slater

Most developers fail to get strong results from AI coding agents not because of the tool they choose, but because their context files (CLAUDE.md, .cursorrules) are stale, contradictory, or missing. Five common failure modes are identified: stale architecture references, contradictory rules, missing MCP integrations, config drift, and team inconsistency. Caliber is introduced as a CLI tool that scans your project, generates tailored config files for your actual stack, recommends relevant MCPs, removes stale rules, and scores your setup 0–100 across six dimensions — all offline without an API key.

Your AI agent is lying to you — and your CLAUDE.md is why

Your AI isn’t lying…
it’s just faithfully following outdated instructions.