Blog

How AI code review can make correct code worse

Blueprint: One-shot bigger coding tasks

Keystone-Eval: Our agentic benchmark for self-configuring agents

How to usefully run 1,000 agents in parallel

Bouncer: Heal your feed

How Offload Works: Inside the Rust CLI that sped up our tests by 6x

A case study in testing with 100+ of Claude agents in parallel

Usefully run hundreds of Claudes in parallel with mngr

Introducing Keystone: Building self-configuring agents

Offload: We made agents run our test suite 6x faster

Vet: Prevent coding agents from making mistakes

Latchkey: Use plain old REST instead of MCP

LLM-based Evolution as a Universal Optimizer

Beating ARC-AGI-2 with Code Evolution

A more radical Imbue

Choices and Knives

Digital Freedom Depends on Access Rights: Matt Boulos in Lawfare

How we made sandboxed coding agents 10x faster to start

A Healthy Ecosystem for AI Agents: Introducing the AFI

Sculptor: the missing UI for parallel coding agents

Empowering humans in the age of AI

Sculptor: Catch and fix issues as you code

Glenn McDonald: On Dungeons & Dragons, data alchemy, and radically open software

From bare metal to a 70B model: infrastructure set-up and scripts

Open-sourcing CARBS: how we used our hyperparameter optimizer to scale up to a 70B-parameter language model

Training a 70B model from scratch: open-source tools, evaluation datasets, and learnings

Sanitized open-source datasets for natural language and code understanding: how we evaluated our 70B model

On the Stepwise Nature of Self-Supervised Learning

Scaling Laws For Every Hyperparameter Via Cost-Aware HPO

Understanding self-supervised and contrastive learning with "Bootstrap Your Own Latent" (BYOL)