Article
You can't follow everything. Stop trying.
In agentic AI, trying to follow everything has become the best way to master nothing. Here's why exhaustive monitoring makes you less competent — and what to do instead.
Articles
23 articles
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ports: project-aware lsof for macOS
A single Go binary that replaces the lsof + grep dance and tells you which project owns which port — with built-in kill, pause, and caffeinate.
Article
Muxy v1.0.0 — a terminal that becomes a platform
Muxy just shipped v1.0.0 with a full extension SDK, a store, mobile support, and workspace features that genuinely change how you work day-to-day.
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DESIGN.md — making your design system readable by agents
Google Labs releases DESIGN.md, a plain-text format that gives coding agents persistent design context: YAML tokens + Markdown rationale, with a CLI for lint, diff, and export.
Article
Fable 5 cut off: when Washington decides who gets to use AI
The US government suspended access to Fable 5 and Mythos 5 for all non-US nationals. For Europeans, it's a blunt reminder of a reality we preferred to ignore.
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Open Knowledge Format: Google standardizes AI agent memory
Google just shipped OKF, an open spec for representing knowledge as plain Markdown files — the format AI agents needed to share context without vendor lock-in.
Article
Agent Skills: giving your agents procedural memory
Agent Skills is an open format for injecting contextual instructions into AI agents. A look at the standard, its progressive disclosure architecture, and skill-creator for industrializing skill production.
Article
Lost in the Middle: Why Your LLM Ignores What You Give It
LLMs don't read long contexts well, not because of capacity limits, but by design. Two studies measure the gap. What it means for how you architect your systems.
Article
Token Economy: Three Tools Attacking the Problem Differently
RTK compresses tool outputs. Caveman forces LLM brevity. DCP prunes context history. Three tools, three layers — and a counterintuitive argument: fewer tokens, better reasoning.
Article
Agentic AI: what it actually is
Between devs convinced AI will automate everything and those who think it will never truly understand code, there's a more nuanced reality, and a more useful one.