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Anthropic has just rolled out Claude Fable 5.1 and Claude Mythos 5.1, touting stronger coding and knowledge-work performance. The company also says cache reads and Claude Code sessions are cheaper, with fewer bio- and cyber-safety interruptions.

Addy Osmani says automated code generation still needs humans upstream, where intent, architecture, and quality bars are set. His “software factory” model emphasizes deterministic checks for evidence, with reviews focused on high-risk changes and clear ownership.

OpenAI is pushing model selection and token efficiency as key to cheaper AI agents, citing GPT-5.6 examples from startups. The post highlights routing tactics, prompt caching, and big token cuts with mixed transparency on real-world error rates and latency.

Addy Osmani says code quality in the agent era hinges less on what humans can review and more on the constraints around the system. His proposed “exit gate” approach layers checks for security, performance, cost, and more before anything ships.

Anthropic’s Thariq shared new context-engineering guidance for Claude 5, arguing prompts are only part of what the model sees. The company says it cut 80%+ of Claude Code’s system prompt with no measurable loss, leaning more on tools, Skills, and references.