Simon Willison’s Weblog·1 month ago·
40
● 3 sources
llm 0.33 shipped updates including an OpenAI Python library 3.x upgrade and switching its HTTP client from httpx to httpx2 while adding embedding key handling and prompt template composition. It adds support for repeating llm prompt -t/--template. As a result, embedding methods (EmbeddingModel.embed, embed_multi, Collection.embed, embed_multi) can take a per-call key= and pass it to plugins without changing shared model state, while reasoning_summary becomes available for responses API models.
The Open Mainframe Project’s open-source Zowe framework is pushing the mainframe to serve as a central element of end-to-end enterprise workflows rather than an isolated “system of record.” The article says Zowe lets mainframe developers access mainframe services via APIs and integrate them into CI/CD pipelines. As a result, organizations can align mainframe work with modern DevOps practices, improve cross-system observability, and reduce technology and workforce silos by making mainframe development more accessible.
Simon Willison’s Weblog·1 month ago·
49
● 3 sources
Teleport’s sponsored piece argues that using AI coding agents productively depends on how well people can specify changes and verify they were applied correctly. It emphasizes an isolated ephemeral trusted runtime for safer deployment (22nd August 2026). As a result, validation should rely on more than line-by-line code review.
LangChain’s Terminal-Bench experiment found that swapping the agent harness while keeping the same model can move a coding agent from about 30th place to the top 5. The article describes three agent-loop run modes—interactive, remote/offline, and async/online—each with different latency behavior that maps to different inference providers and billing goals. As a result, teams should treat loop execution details as an architecture choice with distinct provider economics, and the open-source Decode framework organizes its agent into a shared core plus three harness shapes.
The page “Flare” describes a graph-first IDE with an interactive map aimed at agentic coding. The only concrete detail given is the name “Flare.” No new AI results, benchmarks, or dates are provided, so the impact is not clear from the article text.
Every AI story that matters,
in your inbox by 8am.
TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the
day in two minutes. Follow companies and topics for alerts, or get the
briefing in Slack. Free, no spam, unsubscribe anytime.
Reading TLDRocket needs no cookies, and the readership counts we rely on come from
our own cookieless analytics. Google Analytics is the exception: it sets cookies and
reports to Google, so it stays switched off until you allow it. You can change your
mind any time from “Cookie settings” in the footer.
Strictly necessary
Session security and form protection (tldrocket-session,
XSRF-TOKEN, 2 hours). The site cannot work without them,
so they need no consent.
Always on
Google Analytics 4 (_ga,
_ga_<id>, up to 2 years). Measures which
stories and sections readers use. Google acts as a third-party processor and may
store the data outside the EU. No advertising, no profiling, no data sold.
