Daily Archives: June 5, 2026
What is Open Code Review?
Open Code Review is an AI-powered code review CLI tool. It originated as Alibaba Group’s internal official AI code review assistant — over the past two years, it has served tens of thousands of developers and identified millions of code defects. After thorough validation at massive scale, we incubated it into an open source project for the community. Simply configure a model endpoint to get started. — Read More
Exploring vs Exploiting: The Two Modes of Product Discovery
Product Discovery has two modes:
— Exploring
— Exploiting
Most teams are great at exploiting. But few teams are really good at exploring.
Exploring what’s possible. Gathering insights that shape their product strategy and uncover untapped opportunities (potentially whole new products!) — Read More
Modern Engineering Values
At the end of last year I shared my LLM workflow in You are absolutely right!?. I knew it would be outdated quickly, but I didn’t realize it would be outdated that quickly.
I actually cannot believe that I rarely write code by hand anymore. Or rather, I cannot believe that I used to write code by hand! Programming has fundamentally changed and I’ve been wondering which engineering values still matter. — Read More
Self Improving AI actually solves everything
Dreaming: Better memory for a more helpful ChatGPT
Today we’re beginning to roll out a more capable and scalable system for synthesizing memory, developed to tackle the staleness, correctness, and scalability challenges that we observe when memory is applied to the hundreds of millions of users and multi-year time horizons in ChatGPT.
Memory is what helps ChatGPT learn your preferences, projects, and constraints, allowing future conversations to start from shared context rather than from scratch.
Over the last two years, memory has grown into a critical part of the ChatGPT experience, helping ChatGPT better understand your context so it can help you accomplish meaningful goals over time. This is central to making ChatGPT more useful: knowing you, helping you, and doing more for you. — Read More
When AI builds itself
For most of AI’s history, humans drove every step in its development cycle. But at Anthropic, we are delegating a growing share of AI development to AI systems themselves, which is speeding up our work.
Taken far enough, and given enough compute, that trend points to an AI system capable of fully autonomously designing and developing its own successor. This is called recursive self-improvement. We are not there yet, and recursive self-improvement is not inevitable. But it could come sooner than most institutions are prepared for.
Using public benchmarks and previously unreported data from within Anthropic, The Anthropic Institute is showing that AI is already accelerating the development of AI systems. To take just one example: today, Anthropic engineers on average ship 8x as much code per quarter as they did from 2021-2025.
The technical trends discussed in this piece suggest that AI systems are going to become much more capable in coming years. — Read More
Rick's Cafe AI 