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- Programmer Weekly (Issue 288 February 19 2026)
Programmer Weekly (Issue 288 February 19 2026)
Rahul Chaudhary
February 19, 2026
In partnership with
Welcome to issue 288 of Programmer Weekly. Let's get straight to the links this week.
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Quote of the Week
"Debugging is like being the detective in a crime movie where you are also the murderer." — Filipe Fortes
Reading List
GPU code can now use Rust's async/await. We share the reasons why and what this unlocks for GPU programming.
PI is a modular toolkit for building AI agents, structured as layered packages from low level LLM communication to a full coding agent with tools, persistence, and a terminal UI. The guide shows how these layers, which power OpenClaw, can be composed to build production grade, extensible agent systems without being locked into a single abstraction.
Compound engineering emerged from building Cora, an AI chief of staff for your inbox, from scratch. As we battle-tested every pattern, agent, and workflow across many pull requests, we developed personal productivity hacks to make the work go faster. This, in turn, evolved into a systematic approach to AI-assisted development. We're sharing the details of this philosophy because we believe compound engineering will become the default way software is built.
The post argues that PostgreSQL “bloat” (table and index space inflation) is not inherently a bug but a natural consequence of MVCC and workload patterns, and that understanding its mechanics helps DevOps and DBAs manage it effectively. It explains why bloat occurs, how to measure and interpret it correctly, and how tools and maintenance practices like VACUUM and tailored autovacuum settings can mitigate its operational impact.
Netflix built an internal post-training framework to support large language model experimentation and scaling, enabling model developers to turn ideas into robust, scalable training runs across distributed infrastructure. The article discusses design choices, data pipelines, sharding strategies, and engineering practices that make high-throughput post-training efficient and reliable at Netflix’s scale.
This LWN article summarizes Patrick Steinhardt's FOSDEM 2026 talk on evolving Git for the next decade, focusing on four major transitions: migrating to SHA 256, implementing reftables for reference scalability, improving large file support through promisors, and introducing opinionated subcommands inspired by the Jujutsu VCS. The goal is to modernize Git's internals and user interface, such as with new git history commands, to handle today’s massive monorepos and complex developer workflows without breaking the existing ecosystem.
The article explains how SereneDB redesigned its data ingestion pipeline to improve throughput and latency by using a pull-based flow with parallel workers and smart batching. It describes key optimizations like pipelined network reads, asynchronous disk writes, and backpressure management to make ingestion faster and more reliable at scale.
When Postgres tuning won't fix performance: recognize the six characteristics of time-series workloads that need TimescaleDB's purpose-built architecture.
The author examines three archetypal “bad managers,” the Artist, the Dictator, and the Knife, who are successful leaders but fail at the operational human side of management. He argues that since you cannot change your boss, you must adapt your communication and preparation habits to survive and learn from their specific dysfunctions.
Discover how Uber built and automated a global rate-limiting system that protects millions of RPCs per second, improving reliability, reducing latency, and simplifying operations across our service mesh.
Addy shares hard-earned insights on how teams and decisions really work in large engineering organizations, from choosing the right problems and making clear decisions to treating reliability and trust as core features of effective teams. He emphasizes that speed comes from removing decision friction, that visible, concrete commitments beat vague intentions, and that engineers succeed by making it easier for normal people to do exceptional work.
The post explains how to use CLIProxyAPI, a local proxy that takes your Claude Max subscription’s OAuth token and exposes it as an OpenAI-compatible API endpoint so you can use your subscription in tools that expect standard API keys. It covers setup steps, installation, and how this lets you avoid paying for separate API access while working with models like Claude Opus and Sonnet through existing tools.
Watch, Listen
The video teaches how to take a full-stack application built with React, Go, and MongoDB from local development to a fully containerized production setup using Docker and CI/CD workflows. It walks through building, containerizing, and automating deployment steps to make the app production-ready.
Two veteran engineering leaders reveal the proven hiring principles they independently discovered through building world-class teams. Learn why diversity across all dimensions matters more than rock star resumes, how the 3 A's framework transforms hiring decisions, and why trusting your gut beats following the rules. No theory, just battle-tested approaches that work whether you're in a startup or fighting corporate bureaucracy.
Interesting Projects, Tools and Libraries
Fast, small, and fully autonomous AI assistant infrastructure — deploy anywhere, swap anything.
A plain-text life operating system powered by Claude Code. Inspired by Carmack's .plan files and Franklin's systematic self-improvement.
MimiClaw: Run OpenClaw on a $5 chip. No OS(Linux). No Node.js. No Mac mini. No Raspberry Pi. No VPS. Local-first memory. Shareable. Portable. Privacy-first.
The Swiss Army Knife of Offline AI. Chat, Speak, and Generate Images - Privacy First, Zero Internet. Download an LLM and use it on your mobile device. No data ever leaves your phone. Supports text-to-text, vision, text-to-image.
Upright is a self-hosted synthetic monitoring system. It provides a framework for running health check probes from multiple geographic sites and reporting metrics via Prometheus. Alerts can then be configured with AlertManager.
A lightweight command sandbox for Linux, secure-by-default, built on Landlock.
A headless city simulator where AI agents are the mayors.
Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.
kubectl for AI Agents. Enterprise AI agent orchestration. Manage, monitor, and scale your AI workforce.
A lightweight, lightning-fast, in-process vector database.
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