More rules should mean better output. That's the intuition. I spent weeks building a comprehensive CLAUDE.md — 200 lines covering naming conventions, security rules, error handling, architectural patterns, import ordering, type safety requirements, and more. I was proud of it. I'd thought through every scenario. Then I scored the output. 79.0 / 100. My carefully crafted documentation was actively
Linux kernel source tree
This isn't an anti-Go post. Go is a great language. This is about what I want to understand. I just finished building an L7 HTTP load balancer in Go. It accepts connections. It parses HTTP headers. It forwards requests to backend servers using round-robin. It handles concurrent connections with goroutines. It has health checks. It works. And somewhere in the middle of it working, I realized I didn
Most developers use malloc without thinking much about what happens underneath. This project is an attempt to explore that layer by building a memory allocator from scratch in C. The allocator implements malloc, free, calloc, and realloc without relying on libc’s heap functions. It focuses on: Thread safety Per-thread caching (tcache) Efficient free block management using bins mmap-based memory g
Have you ever looked at code you wrote six months ago and thought: "Who wrote this monster?"? Relax, it happens to all of us. In software engineering, writing code that a machine understands is the easy part. The real challenge is writing code that other humans (including your future self) can understand, maintain, and scale. This is exactly where Software Design Principles come into play. In this
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Part 1 of 5 in The New Engineering Contract — what it means to lead engineers when AI is doing more of the coding. SWE-CI tested 18 AI models across 71 consecutive commits. Most broke something on commit 47 they'd already broken on commit 1. That's not an intelligence problem. That's a learning system that isn't learning. A paper made me uncomfortable this month. Not because of what it found about