InfoQ Homepage AI Coding Content on InfoQ
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Dynamic Languages Faster and Cheaper in 13-Language Claude Code Benchmark
A 600-run benchmark by Ruby committer Yusuke Endoh tested Claude Code across 13 languages, implementing a simplified Git. Ruby, Python, and JavaScript were the fastest and cheapest, at $0.36- $0.39 per run. Statistically typed languages cost 1.4-2.6x more. Adding type checkers to dynamic languages imposed 1.6-3.2x slowdowns. Full dataset available on GitHub.
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QCon London 2026: Tools That Enable the Next 1B Developers
At QCon London 2026, Ivan Zarea, director of platform engineering at Netlify, discussed the impact of AI on web development, noting a surge in non-traditional developers among the 11 million users on the platform. He presented three pillars for developer tools: developing expertise, honing taste, and practicing clairvoyance, emphasizing the need for thoughtful architecture in a evolving landscape.
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QCon London AI Coding State of the Game: More Capable, More Expensive, More Dangerous Coding Agents
In her QCon London keynote, Birgitta Böckeler, AI-Coding lead at Thoughtworks, reflected on the changes in the AI coding space over the past year. She emphasised a shift from vibe coding to using autonomous coding agents or swarms of agents. According to her, two major concerns in the field are the worsening security landscape and the rising costs of agent-based development.