Robotics has a data problem. While language and vision models have ridden scaling laws to ever-higher capabilities, robot learning has
Continue readingXiaomi-Robotics-1: When Scaling Laws Finally Arrive in Robotics
Moonshot AI has just dropped Kimi K3, and it’s a monster. At 2.8 trillion parameters, it’s the world’s first open-source
Continue readingKimi K3: Moonshot AI’s 2.8 Trillion Parameter Open-Source Behemoth
Docker image builds are one of those things that quietly accumulate technical debt. You start with a simple Dockerfile, and
Continue readingFaster Docker Builds with BuildKit: Cache Mounts, Remote Caching, and Bake
The open-weights LLM landscape just gained a significant new entrant. Inkling, released on July 15 by Thinking Machines Lab, is
Continue readingInkling: Thinking Machines Lab’s 975B Open-Weights Multimodal Model
Distributed transactions are one of those problems that look simple until you split your monolith into services. In a single
Continue readingThe Saga Pattern: Coordinating Distributed Transactions in Microservices
Automated tests that hit real databases, live APIs, and production file systems are slow, flaky, and expensive to maintain. The
Continue readingTest Doubles Demystified: Stubs, Spies, Mocks, and Fakes in Go
Reinforcement learning has become the defining ingredient of modern LLM post-training. GRPO, PPO, and their variants drive the reasoning capabilities
Every week, the open-source community ships projects that make you stop and think — sometimes because they’re audacious, sometimes because
Every application that updates a database and then does something else — pushes to a search index, invalidates a cache,
Continue readingChange Data Capture with PostgreSQL and Debezium: Building Reliable Event Pipelines
Microservices promised us smaller, more maintainable codebases. They delivered — along with a debugging nightmare. When a request flows through
Continue readingOpenTelemetry in Go: From Zero to Distributed Tracing