Quoting Addy Osmani, Morgan Westlee Lunt, and Qing Wang
Simon Willison quotes an article by Addy Osmani, Morgan Westlee Lunt, and Qing Wang on how the Claude Code team does code review.
#编码
Today 0 items
Simon WillisonAI score5454
TechCrunch · AIAI score4646 Replit’s CEO says the future of work is the ‘self-driving company’
Replit CEO Amjad Masad laid out his vision of the "self-driving company" at TechCrunch Disrupt in San Francisco: AI agents handle most of the grunt work while human value shifts to judgment and taste. He noted that Replit's support tickets are first triaged by agents searching GitHub issues, codebases and Linear tickets, and after human fixes a one-click deploy closes the loop with agents. He argues agents aren't taking jobs but freeing people to spend more time on architecture and discussion.
Semiconductor Engineering Chips and PackagingAI score5151 How Close Are We To Fully Autonomous Chip Design?
In a SEMICON West interview, Synopsys CEO Sassine Ghazi said the company has deployed more than 40 task agents, and some customers can hand a spec to the Synopsys Autonomous Agent to automatically generate and verify RTL — a process that used to take multiple engineers several months — though fully autonomous chip design remains out of reach today.
Simon WillisonAI score3636 Tree Appreciator
Simon Willison had Claude Opus 5.5 Max build a Three.js game called Tree Appreciator in the Claude iPhone app, where the gameplay is appreciating differences between two algorithmically generated trees. Claude ran for 3 hours 7 minutes and produced a fairly playable spot-the-difference game with music, animations and an achievement system.
The DecoderAI score6464 Google says self-improving AI isn't anywhere close
Google DeepMind engineer Haydn Belfield said AI-driven acceleration of AI research has not yet appeared and self-improving AI remains far off. AI now writes over 75% of production code, but roughly 88% of code changes still require human oversight or review; the share of code changes fully handed to AI rose from 7.5% to 11.9%, and the more complex the task, the lower the rate of independent AI completion.
Simon WillisonAI score6767 Quoting Geoffrey Huntley
Simon Willison cites Geoffrey Huntley's view: if agents don't use his diagnostics library, relying only on checking and updating AGENTS.md still leads to bias and drift.
The DecoderAI score4444 Anthropic's Andrej Karpathy says "the external world has seen the preview" of what AI can actually do
OpenAI co-founder and current Anthropic member Andrej Karpathy argued that there is a huge gap between the public's perception of LLM capabilities and reality.
Latent SpaceAI score6868 Claude Code’s Next Era — Thariq Shihipar, Anthropic
The Latent Space podcast hosted Anthropic's Thariq Shihipar for a deep conversation on the current state and direction of Claude Code.
Simon WillisonAI score7474 2026 in LLMs (so far)
Simon Willison delivered a closing keynote at WeAreDevelopers World Congress North America, reviewing the key LLM developments of 2026 along a timeline.
Latent SpaceAI score3636 [AINews] The Future of Latent Space
Latent Space's swyx announced a revamp of AINews, which has run for 3 years and has over 200,000 subscribers, planning to merge AINews v3 with the tens-of-thousands-member Latent Space Discord, migrate the site to Beehiiv and launch a new homepage.
Simon WillisonAI score2626 Note on 24th September 2026
Simon Willison argues that the more he works with coding agents, the more convinced he is that they make software engineering harder. He says these agents can produce stunning results, but unlocking their full potential requires extreme discipline and knowledge.
Latent SpaceAI score6565 Foundries vs Navigators: Lowering the Cost of Science
Endura Therapeutics CEO Adrian Sanborn proposes two ways biotech can adapt to AI: Foundries, which use new technology to speed up experimental data output by an order of magnitude, and Navigators, which use AI to accelerate the knowledge work around experiments.
Simon WillisonAI score2222 SF October 14th: A Birds of a Feather Session on Agentic Engineering
Simon Willison and Jesse Vincent will co-host a Birds of a Feather event for coding agent developers in San Francisco on Wednesday, October 14, an informal agentic show-and-tell for sharing experiments. Sharing is encouraged but not required, product pitches are explicitly excluded, and unreleased work, quirky experiments, and unfinished projects without an obvious market are welcome.
Simon WillisonAI score4141 Quoting voxium
A user named voxium says that two weeks into a job at a large company, they found that all output—specs, code, tests, PRDs, tickets—is generated by Claude Code, with engineers from L1 to L7 pushed to deliver fast. Management insists shipping code isn't the bottleneck and questions why work is slow, while employees work 12 to 13 hours a day just pressing Enter, with almost no one actually reading the content.
GitHub Blog · AI & MLAI score4242 Should you read the code, is RAG dead, and did Skills kill MCP?
The GitHub Podcast breaks down five common AI hot takes one by one. Key conclusions: AI-generated code still needs review scaled to risk; Skills and MCP solve different problems, with MCP providing a standard for tool and data access while Skills package team workflows and best practices in Markdown, making them complementary; RAG is not dead—retrieval brings models closer to answers and can coexist with agents, MCP, and Skills in the same workflow.
Import AIAI score4747 Import AI 470: No rights for machines; automating environment generation with SPADE; and building better GPU kernels with Hawkeye
Import AI issue 470: METR research finds AI brings significant speedups to cybersecurity discoveries, modest contributions to math, but no measurable acceleration yet for optimizing AI research algorithms. Teams from multiple universities propose the SPADE framework, which co-evolves environment synthesis with agent capabilities via self-play, reaching an average score of 58.3 on a suite of game environments with Qwen3-30B-A3B, 5.3 above the baseline. This issue also introduces Hawkeye, for building better GPU kernels.
Import AIAI score6666 Import AI 455: AI systems are about to start building themselves.
In Import AI 455, Jack Clark judges there is more than a 60% probability of fully automated AI R&D (models autonomously training their own successors) by the end of 2028, and 30% for 2027.