Claude Code’s Next Era — Thariq Shihipar, Anthropic
Anthropic's Thariq Shihipar discussed Claude Code's next phase on the Latent Space podcast, including Ask User Question, artifacts, Claude Tag, Projects and Claude Mods for customising the harness.
#Coding
#Coding
0 todaySep 29
Sep 28
2026 in LLMs (so far)
Simon Willison traced key LLM developments in 2026 chronologically in his keynote at WeAreDevelopers World Congress North America.
Sep 25
Note on 24th September 2026
In notes on 24 September 2026, Simon Willison said that the more time he spent working with coding agents, the more convinced he became that they made software engineering harder. He believes they can produce astonishing results, but realising their full potential requires exceptional discipline and knowledge.
Sep 21
Quoting voxium
An engineer who joined a large company two weeks earlier says specifications, code, tests, PRDs, tickets and their handling, and reports are all generated by Claude Code. Nobody likes the approach, but they are told to deliver as much as possible. They repeatedly heard leadership say shipping code was not the bottleneck, while engineers from L1 to L7 worked 12–13 hours daily just pressing Enter, with nobody reading anything.
Sep 18
Should you read the code, is RAG dead, and did Skills kill MCP?
The latest GitHub Podcast examines five AI development memes. AI-generated code still needs reading and accountability, with review proportional to risk. Skills package team experience, while MCP standardises connections to tools and data; they can combine. RAG is not dead: it provides relevant information beyond training data and can coexist with agents, Skills and MCP in one workflow.
May 4
Import AI 455: AI systems are about to start building themselves.
Jack Clark estimates in Import AI 455 a roughly 60% chance of AI R&D autonomously training successor models without human involvement by the end of 2028, and around 30% in 2027.