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AI-Assisted Programming

73 summarised stories about AI-Assisted Programming, each linking back to the original source. Browse all topics →

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Wednesday, 24 June 2026

An Ex-Meta L8's Agentic Engineering Setup

ByteByteGo Newsletter 3 months ago 25

Kun Chen, a former Meta principal engineer, shares his complete workflow for using AI agents to dramatically increase engineering productivity, demonstrating how he now ships 30+ pull requests regularly by delegating coding tasks to agents while he focuses on architectural decisions and quality assessment. His setup combines WezTerm, Neovim, tmux, Claude Code, and voice input via OpenSuperWhisper, with careful prompt engineering that emphasizes outcomes over actions and includes detailed rationale. The shift from writing code himself to managing agents like an engineering manager has changed his approach to delegation, planning, and feedback loops, treating agents as team members rather than tools.

The Coming Loop

Armin Ronacher 3 months ago 58

Software engineers are increasingly using AI loops—external harnesses that repeatedly prompt coding agents and decide whether to continue or modify their work—rather than relying solely on agents' built-in iteration. The pattern works well for code transformation, performance exploration, and security scanning, but produces defensive, overly complex code unsuitable for long-term maintenance when applied to permanent systems. As AI-driven development becomes competitive necessity, developers risk losing the ability to understand their own codebases without machine assistance, creating dependency on expensive, powerful models.

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