Give your coding agents a shared memory. They can read each other's decisions, reuse good ideas, and recover the reasoning when a session ends.
Bobby Grayson - Deciduous
Tinkered Thinking
Daily, snackable writings to spur changes in thinking.Building a blueprint for a better brain by tinkering with the code.
Agent Memory Patterns
A short HOW TO guide for agent memory systems. Especially the difference between blocks, files and skills.
ndrstnd: understand what your coding agent actually did
A local comprehension workspace that turns agent-produced branch diffs into an evidence-linked story.
The 80% Problem in Agentic Coding
Managing comprehension debt when leaning on AI to code
Mental models for working with coding agents
Model intelligence sets the ceiling. Your workflow with the agent harness sets what you actually ship.
Why AI Coding Agents Forget — And How ArcticMem Fixes It
Explore ArcticMem, Snowflake’s persistent semantic memory system for AI coding agents. See how dual-tier memory improves benchmark pass rates to 73%.
Understanding is the new bottleneck
Agents can write code faster than we can absorb it. Here's why it still matters for humans to understand what they build — and some techniques for doing that efficiently: explainer docs, quizzes, micro-worlds, and shared spaces.
Understanding is the new bottleneck
Agents can write code faster than we can absorb it. Here's why it still matters for humans to understand what they build — and some techniques for doing that efficiently: explainer docs, quizzes, micro-worlds, and shared spaces.
Understanding is the new bottleneck
Agents can write code faster than we can absorb it. Here's why it still matters for humans to understand what they build — and some techniques for doing that efficiently: explainer docs, quizzes, micro-worlds, and shared spaces.
Memory Models: Towards Agents That Learn
Agents that truly learn from experience will be powered by memory models: models that create and curate token-space memory across model generations, trained with memory-native RL.
Introducing Beads: A coding agent memory system
I have been vibe coding like a madman for forty days and forty nights. It’s a long story, so I’ll summarize in these three pictures.
What I learned building an opinionated and minimal coding agent
Lessons I learned while building my own coding agent from scratch.
The Shape of Memory Benchmarks
Why the familiar memory benchmarks are outdated, how the agent-native work looks today and why design your own.
Letta
Making machines that learn. Create stateful agents that remember everything, learn continuously, and improve themselves over time.