Fast and Hard Code

kept by masonlee aug 23

LLMs diminish the need to learn language specifics, letting developers choose languages like Rust and Zig for speed and size, and tackle complex low‑level projects without deep expertise.

Bun 1.4 Rust rewrite is not looking good
The author argues that Bun’s Rust rewrite, driven heavily by AI, has caused delays, rising open PRs, and community frustration over broken promises and code quality.
also on Jarred Sumner, Zig, #rust, #ai-coding
The Pulse: What can we learn from Bun’s rapid Rust rewrite with AI? - The Pragmatic Engineer
Bun’s Zig-to-Rust rewrite was completed in 11 days using 64 AI agents, costing $165K, showing AI can accelerate large migrations when a solid test suite and expert oversight exist.
also on Jarred Sumner, Mitchell Hashimoto, #rust, #ai-coding, #developer-tools
Interview with Mitchell Hashimoto about Ghostty and Zig
Mitchell Hashimoto discusses building Ghostty, a fast GPU‑accelerated terminal, using Zig for performance and safety, and shares lessons on language choice and open‑source development.
also on Zig, Mitchell Hashimoto, #developer-tools
Fibs and Fibbonacci - is LOGOS faster than Zig?
LOGOS is not the fastest language; its speed claims rely on toy benchmarks, non‑idiomatic comparisons, and a benchmark bug that makes it slower than Zig after correction.
also on Zig, #rust, #developer-tools
Autoresearch, Claude and Constrained Optimization
An experiment using Claude Code to autonomously optimize a file compression algorithm over 10 iterations, achieving competitive results against standard tools by iterating on an LZSS-based approach.
also on Mitchell Hashimoto, #rust, #performance, #ai-coding, #developer-tools