Monday, May 25, 2026

Good Monday, NOLA. May 25th is a slower news day after a week that reset expectations. We're diving into practical agent tooling, real-world AI workflows, and some thoughtful takes on what's actually working (and what isn't). Highlights: DeepSeek's native coding agent is raising eyebrows, a sharp critique of AI as architect, and how one founder is actually running a startup solo with AI agents.

Tools & Practical Releases

DeepSeek Reasonix: Native Coding Agent with Built-In Caching

Popular on HN, this is a coding agent purpose-built by DeepSeek with high-context caching and impressively low costs. It's designed specifically for the agent workflow — not a general-purpose model repurposed. If you've been waiting for agent-native infrastructure, this is worth a test drive.
Hacker News

Datasette 1.0a30: Customizable Jump-to Menu and Agent Integration

Simon Willison released a major alpha with a new extensible "Jump to" menu that integrates cleanly with AI agents. Pair this with datasette-agent 0.1a4, which uses the new hooks for agent-driven queries.
Simon Willison

Datasette-Fixtures: Easier Test Data Setup

A smaller but useful addition to the Datasette ecosystem: a new populate_fixture_database() helper that makes it simpler to set up test data for agents and applications.
Simon Willison

Real-World Workflows & Essays

How a 5x Founder Runs His Startup Solo With AI Agents

Ryan Carson walks through exactly how he uses OpenClaw, Codex, and Devin to scale a company solo. This isn't theory — it's a founder showing you the daily routines, the failures, and what actually sticks. Listen on Spotify.
Behind the Craft

Claude Is Not Your Architect. Stop Letting It Pretend.

A sharp, honest piece on where AI coding agents actually fail. Sparked good discussion on HN about the gap between what Claude can do (write code) and what architects do (make system decisions). Worth reading if you're thinking about integrating agents into your workflow.
Hacker News

Local LLMs Perform Better When You Teach Them to Ask Questions First

A practical tip: if you're running open-source models locally, having them ask clarifying questions before answering actually improves accuracy and relevance. Simple prompt adjustment, measurable payoff.
Hacker News

Industry & Infrastructure

Everyone Is Navigating AI Security in Real Time — Even Google

A thoughtful piece on the fact that no one — not even the big labs — has fully figured out how to secure AI systems at scale. It's less about a single failure and more about the transition period we're in. Relevant if you're thinking about deploying agents or LLM-backed apps.
TechCrunch AI

Constraint Decay in LLM Agent Code Generation

Discussion on HN points out that LLMs struggle with constraints when generating backend code — they can lose track of what they're supposed to enforce mid-generation. Useful to know if you're building systems that rely on agents for infrastructure tasks.
Hacker News

Thoughtful Reads & Commentary

Issue Submissions Should Be in Your Own Voice, Not AI's

Armin Ronacher on the rise of GitHub issues and support tickets written by AI. They describe the problem technically but without the author's own context or frustration — which actually makes them harder to fix. A small but real signal of AI's blind spots.
Simon Willison

Why Agents Still Need Humans

NLW explores the next wave of human-agent collaboration, building on Dan Shipper's "After Automation" thesis. The takeaway: automation creates more work for humans, not less — and that's actually OK if we design for it. Listen here.
AI Daily Brief

Also

Today’s Sources