resources · article
ReadLoop Library
Jun 21
Matthew Berman launched Loop Library (Jun 2026) — a curated open repo of ~26 runnable agent loops. Every entry specifies: trigger, action, proof, memory, and stopping condition. Proof and stopping condition are first-class — not afterthoughts.
concepts · article
ReadLoop Engineering
Addy Osmani · Jun 21
Addy Osmani names and defines loop engineering: replacing yourself as the person who prompts the agent — you design the system that does it instead. The shift: you held the tool (type → read → type). Now you build a small system that finds the work, hands it out, checks it, and decides the next thing.
concepts · youtube
ReadHow To Approach Your AI Evals
Hamel Husain · Jun 21
Hamel Husain on how to actually approach AI evals — the verification half of a loop. Anchor of his 4-video eval series (Jun 2026). Evals are what make loops converge.
concepts · youtube
ReadDon't Build More AI Agents Until You Watch This
Nate B Jones · Jun 21
Nate B. Jones argues against agent-sprawl: loops and orchestration over building more individual agents. The case for designing fewer, better-connected loops instead of proliferating agents.
concepts · article
ReadSoftware 3.0 and Agentic Programming Evolution
Jun 14
The evolution from traditional coding to agentic programming represents a fundamental shift where LLMs become a programmable layer for digital work. Programming units changed from writing lines of code to delegating macro actions like implementing features or refactoring systems. Context windows become the new program interface, enabling adaptive software that transforms inputs directly without traditional infrastructure.
concepts · youtube
ReadAI Agent Loops vs Human-in-the-Loop
Greg Isenberg · Jun 14
AI agent loops allow AI systems to operate autonomously without human prompting at each step, unlike human-in-the-loop where humans direct each iteration. While industry leaders like Boris and Peter advocate for autonomous loops, Professor Ras Mic argues human-in-the-loop remains superior for most use cases unless you have unlimited resources.
concepts · tweet
ReadAI Coding Loops vs Direct Prompting
Matt Van Horn · Jun 8
Instead of manually prompting AI coding agents, engineers should write 'loops' - small programs that automatically prompt agents, evaluate outputs, and iterate until completion. This represents a shift from being the prompter to being the author of the prompting system, with the AI model becoming a subroutine.
concepts · article
ReadGenerative UI for AI Agents
Jun 7
Generative UI allows AI agents to dynamically create and control user interfaces at runtime instead of relying on static chat interfaces. This enables agents to render task-specific components, collect structured inputs, and show progress through interactive UI elements that adapt to context and user needs.
concepts · article
ReadExperience Internalization for Continual Learning LLMs
Jun 7
Research reveals that current LLM experience internalization methods suffer from progressive capability collapse in multi-iteration learning rather than compounding improvement. The study identifies three critical dimensions: principle-level experience outperforms instance-level, step-wise injection beats global injection, and off-policy context-distillation provides more stable training than on-policy approaches.
concepts · article
ReadPrompt Injection Vulnerabilities in AI Coding Assistants
Jun 7
Comprehensive analysis revealing that AI coding assistants like GitHub Copilot and Cursor face critical security vulnerabilities through prompt injection attacks, with success rates exceeding 85% against current defenses. The study cataloged 42 distinct attack techniques and found most defense mechanisms achieve less than 50% mitigation against sophisticated attacks.
concepts · article
ReadAnthropic Three-Agent AI Development Architecture
May 31
Anthropic developed a multi-agent system that divides long-running AI development tasks among three specialized agents: planning, generation, and evaluation. The system uses context resets and structured handoff artifacts to maintain coherence during multi-hour autonomous coding sessions, addressing common issues like context loss and premature task termination.
tools · article
ReadClaude Code Platform Updates Week 19 2026
May 17
Claude Code v2.1.128-v2.1.136 introduces plugin loading from ZIP archives and URLs, cross-project command history search with Ctrl+R, and new worktree branching controls. Additional improvements include auto mode hard deny rules and various environment variable configurations for better development workflow.
resources · youtube
ReadEngineers, DELETE the BASH Tool: Agentic Security
IndyDevDan · May 11
Argues that the Bash tool inside Claude Code (and most agent harnesses) is a ticking time bomb: prompt injection or a single bad prompt can escalate to destroying production. Walks through concrete sandboxing patterns to remove or constrain Bash while preserving capability.