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 · 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 · 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.