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All 1041 resources sorted by date, newest first
Agentic Engine Optimization (AEO)
How to structure docs so AI coding agents can actually use them - discoverability, parsability, token efficiency, and access control
Probabilistic Engineering and the 24-7 Employee
The shift from deterministic to probabilistic engineering - code generated by stochastic systems, reviewed under time pressure, assembled into wholes no single human ever designed end-to-end
The Impact of AI on Software Engineers in 2026
Survey of 900+ engineers reveals three archetypes - builders, shippers, coasters - and how AI tools affect each differently in cost, productivity, and professional identity
Uber's Agentic System for Instant Design Specs
How Uber built an agentic pipeline to automate design spec generation in minutes, cutting manual handoff work between designers and engineers
Who Will Be the Senior Engineers of 2035?
Three scenarios for how AI will reshape the way senior engineers emerge - and whether the traditional mentorship pipeline can survive
Why AI Sucks at Front End
AI design is trained on ancient solutions and unoriginal UI patterns - Adam Argyle's rant on why AI still can't do frontend well
Write Less Code, Be More Responsible
Against the vibe-coding trend - why letting AI handle the tedious parts while you keep the fun ones is a recipe for quality and maintainability decline
Hyperframes
Open-source HTML-based video rendering framework with first-class AI agent support - non-interactive CLI for agent-driven workflows, renders to MP4 locally or in Docker
Letta Code
Memory-first coding harness for long-lived AI agents that persist across sessions and accumulate skills like a permanent teammate
Magika
Google's AI-powered file type detection that identifies 200+ content types using a lightweight deep learning model - used internally for user safety
Multica
Open-source platform integrating AI coding agents into dev teams as autonomous teammates - they claim tasks, write code, and report progress via a Go-based local daemon
Claude Is Not Your Architect. Stop Letting It Pretend
AI agents are agreeable pattern-matchers that produce generic designs without understanding your real constraints — and nobody owns the result when things break
Cycles of Disruption in the Tech Industry
Martin Fowler and Kent Beck compare the AI shift to Agile and OOP — and explain why this time it's different in magnitude and speed
DHH's New Way of Writing Code
DHH switched from typing all his code to running two AI models in tmux — now he barely writes any code by hand, while his quality standards haven't budged
Encoding Team Standards
Practical patterns for putting your team's conventions into CLAUDE.md, linters, and CI so AI agents generate code that passes review without constant correction
How Claude Code Builds a System Prompt
The accidental source code leak reveals how Claude Code assembles its context — some components always included, others conditional — showing just how complex context engineering has become
State of Prototyping: Spring 2026 Report
1,478 designers surveyed — Claude is now the #2 weekly design tool after Figma, 43.8% spend more than half their time vibe coding, and heavy vibe coders rate job satisfaction 7.39 vs 5.93 for non-vibe coders
The Cult of Vibe Coding Is Insane
Fully delegating code to AI without reading the output is not a development philosophy, it's a debt factory — AI is only effective when humans actively review and guide it
What Is Inference Engineering?
A new engineering discipline is emerging around deploying and optimizing LLMs at scale — Gergely maps what inference engineering actually involves and why teams need it
Agent Skills
Production-grade engineering skills for AI coding agents.