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When Context Collapses: Teaching Agents to Detect and Recover from Lost Memory

When Context Collapses: Teaching Agents to Detect and Recover from Lost Memory

This is the eighth article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three here, part four here, part five here, part six here, and part seven here. “640K ought to be enough for anybody.”—Bill Gates (allegedly) If you’re building AI agents that do complex, multistep work, you’re going to run into context […]

O'Reilly Radar — AI/ML
Vibe Coding Is Dangerous, Agentic Engineering Isn't—Wes McKinney

Vibe Coding Is Dangerous, Agentic Engineering Isn't—Wes McKinney

This series interviews real practitioners to extract the patterns behind how they actually use AI in their data work today. This is the second interview in ‘How to use AI with DE’, and this time we have none other than Wes McKinney. Creator of Pandas, probably the most widely used data analysis library for Python, Wes has shaped the era of data and is co-creator of Apache Arrow. He also created Ibis to address these issues with a different approach to Python dataframe libraries, by decoupling…

SSP Data Engineering Blog
Beyond the Semantic Layer: Building a Context Layer for the Agentic Era

Beyond the Semantic Layer: Building a Context Layer for the Agentic Era

Writing SQL was never the hard part. Making it accurate and trustworthy against your warehouse always was. Point an AI agent like Claude or Codex at your data stack and ask a real analytics question, and the answer is usually mediocre: the agent can scrape some context from your git repos or whatever metadata it can find, but it doesn’t know your joins, your metric definitions, or the business rules that give a number its actual meaning.

SSP Data Engineering Blog
Anthropic Walks Back Policy That Could Have ‘Sabotaged’ AI Researchers Using Claude

Anthropic Walks Back Policy That Could Have ‘Sabotaged’ AI Researchers Using Claude

Anthropic Walks Back Policy That Could Have ‘Sabotaged’ AI Researchers Using Claude Big scoop for Maxwell Zeff at Wired: “We’re changing Fable 5’s safeguards for frontier LLM development to make them visible.” Anthropic said in a statement to WIRED. “We made the wrong tradeoff and we apologize for not getting the balance right.” There's been a huge outcry about Anthropic's policy, tucked away in their system card, that Claude Fable/Mythos would identify "requests targeting frontier LLM…

Simon Willison's Weblog
Integrating Community Feedback into Foundation Strategy Part 2

Integrating Community Feedback into Foundation Strategy Part 2

In April 2026, during the first weeks of my tenure as Executive Director, I conducted a listening tour with around 60 people from 18 countries spanning every part of the PHP ecosystem (see Integrating Community Feedback into Foundation Strategy: Part 1). Since then, I have continued to listen and connect with those of you in the community who have something to share. The themes that have surfaced are clear, consistent, and actionable. This document outlines how the PHP Foundation will respond…

The PHP Foundation
datasette-agent 0.2a0

datasette-agent 0.2a0

Release: datasette-agent 0.2a0 Highlights from the release notes: Tools can now ask the user questions mid-execution. Tools that declare a context parameter receive a ToolContext object, and await context.ask_user(...) can ask a yes/no, multiple-choice (options=[...]) or free-text (free_text=True) question. While a question is unanswered the agent turn suspends: the question renders as a form in the chat UI and persists to the internal database, so suspended conversations survive a server…

Simon Willison's Weblog
DiffusionGemma

DiffusionGemma

DiffusionGemma Last May Google briefly released an experimental Gemini Diffusion model. I tried the preview at the time and recorded it running at 857 tokens/second. It was an exciting model, but Google made no further announcements about it. That research has returned in the best possible way: as a new open weight (Apache 2 licensed) Gemma model, google/diffusiongemma-26B-A4B-it. NVIDIA are currently hosting the model for free on their NIM cloud API. I used that API to generate this pelican,…

Simon Willison's Weblog
Socket Partners with Replit to Block Malicious Packages in AI-Powered Development

Socket Partners with Replit to Block Malicious Packages in AI-Powered Development

The way software gets built is changing fast. Developers are no longer the only ones choosing dependencies. AI agents can now recommend, install, and wire open source packages into applications as part of the build process. Replit is at the center of that shift, giving millions of builders a faster path from idea to working software. As more of that work happens inside AI-powered workflows, dependency security has to move closer to the moment packages are selected and installed. Socket Firewall…

Socket
Quoting Jeremy Howard

Quoting Jeremy Howard

Easy solution to slow down recursive AI self improvement: The lab with the top-ranked model must agree THEY must not use it for working on frontier AI But everyone else should have access to it. By definition, this means the frontier doesn't advance. It also has the critical benefit of avoiding a dangerous power imbalance. Anthropic has chosen the opposite of the safe path: they are allowing themselves, the current top lab, to use their top model for frontier AI research. They've said they'll…

Simon Willison's Weblog
How to use git rebase without breaking your team’s history

How to use git rebase without breaking your team’s history

Video version: https://youtu.be/5n2VZS_YPv0 Let’s say you’re working on a feature branch called add-discount-codes. You’ve been at it for a couple of days, and you’ve got five commits with all of your work done. A team member mentions that git rebase can make sure you have the most recent changes from the “main” branch. So you […] The post How to use git rebase without breaking your team’s history appeared first on PHP Architect.

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