A developer has shared their experience using AI coding agents to build a Rust-based multi-Paxos consensus engine, modernizing Azure's decade-old Replicated State Library. The project, which involved writing approximately 130,000 lines of Rust code over three months, saw a significant increase in productivity, with AI tools like Claude Code and Codex CLI being instrumental. Key techniques highlighted include the use of AI-generated code contracts for ensuring correctness and aggressive performance optimization, which boosted throughput from 23K to 300K operations per second. AI
影响 Demonstrates AI's growing capability in complex software engineering tasks, potentially accelerating development cycles and improving code quality.
排序理由 Developer's personal experience and learnings using AI tools for software development.
在 HN — claude-code stories 阅读 →
- AI
- Rust
- Augment Code
- Azure
- Claude Code
- Codex CLI
- GitHub Copilot
- GPT-5 High
- Kiro
- multi-Paxos
- Opus 4.1
- Replicated State Library
- Trae
AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →
