AI Coding Agents

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Claude Code Anthropic OpenAI Codex The New Stack Claude

Sunday, 26 May 2024

Data Machina #254

Substack 2 years ago 31

Princeton Language & Intelligence released SWE-bench, a benchmark for evaluating AI coding agents on their ability to fix real GitHub repository issues, revealing that current AI agents perform poorly on the task. The leading model, Amazon Q Developer Agent, successfully solved only 13.8% of 2294 tasks, while the open-source OpenDevin achieved the highest benchmark score at 21%. These results demonstrate that despite multiple competing approaches including Devin, Devika, and GPT-Engineer, AI coding agents remain far from ready for production-scale legacy code migration and autonomous software engineering work.

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AI Coding Agents

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TLDRocket 27 October 2026

The biggest throughline today is how fast Anthropic has moved from model lab to operating company—and how hard it’s trying to keep “agentic” autonomy from turning into a liability. With the SEC having published the S-1 ahead of its anticipated Nasdaq listing under ticker ANT, Anthropic’s filings put hard numbers around the tension investors now care about: for the six months ended June 30, revenue hit $16.29 billion while compute and infrastructure expense climbed to $8.95 billion. In parallel, Anthropic spent its latest technical messaging on the mechanics of control—splitting the “brain” from the “hands,” running untrusted code in isolated sandboxes, and protecting credentials with persistent harnesses. It also shipped Claude Opus 5.5 and, in the platform update, pushed developers toward new API expectations and evaluation practices that lean on customer-specific harnesses rather than one-size-fits-all testing.

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AI Coding Agents

Key players

Sunday, 26 May 2024

Data Machina #254

Every AI story that matters, in your inbox by 8am.

Every AI story that matters,
in your inbox by 8am.