The Strangler Fig Pattern: Incrementally Migrating Legacy Systems Without the Big Rewrite
Every engineering team eventually faces the same daunting question: what do we do with the legacy monolith? The temptation is
Author: teliaz
Event Sourcing in Practice: Building a System That Never Forgets
Most systems today use CRUD: read the current state, modify a row, write it back. The database remembers where things
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Xiaomi-Robotics-1: When Scaling Laws Finally Arrive in Robotics
Robotics has a data problem. While language and vision models have ridden scaling laws to ever-higher capabilities, robot learning has
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Kimi K3: Moonshot AI’s 2.8 Trillion Parameter Open-Source Behemoth
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
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Faster Docker Builds with BuildKit: Cache Mounts, Remote Caching, and Bake
Docker image builds are one of those things that quietly accumulate technical debt. You start with a simple Dockerfile, and
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Inkling: Thinking Machines Lab’s 975B Open-Weights Multimodal Model
The open-weights LLM landscape just gained a significant new entrant. Inkling, released on July 15 by Thinking Machines Lab, is
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The Saga Pattern: Coordinating Distributed Transactions in Microservices
Distributed transactions are one of those problems that look simple until you split your monolith into services. In a single
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Test Doubles Demystified: Stubs, Spies, Mocks, and Fakes in Go
Automated tests that hit real databases, live APIs, and production file systems are slow, flaky, and expensive to maintain. The
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Training-Inference Mismatch: Why Your LLM Reinforcement Learning Is Optimizing the Wrong Policy
Reinforcement learning has become the defining ingredient of modern LLM post-training. GRPO, PPO, and their variants drive the reasoning capabilities
5 Trending GitHub Repos: A 744B Model in Pure C, Postgres in Rust, and Python Compiled to Metal
Every week, the open-source community ships projects that make you stop and think — sometimes because they’re audacious, sometimes because