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- Programmer Weekly (Issue 294 Apr 2 2026)
Programmer Weekly (Issue 294 Apr 2 2026)
Rahul Chaudhary
April 02, 2026
Welcome to issue 294 of Programmer Weekly. Let's get straight to the links this week.
Learn how to code faster with AI in 5 mins a day
You're spending 40 hours a week writing code that AI could do in 10.
While you're grinding through pull requests, 200k+ engineers at OpenAI, Google & Meta are using AI to ship faster.
How?
The Code newsletter teaches them exactly which AI tools to use and how to use them.
Here's what you get:
AI coding techniques used by top engineers at top companies in just 5 mins a day
Tools and workflows that cut your coding time in half
Tech insights that keep you 6 months ahead
Sign up and get access to the Ultimate Claude code guide to ship 5X faster.
Quote of the Week
"UNIX was not designed to stop you from doing stupid things, because that would also stop you from doing clever things." — Doug Gwyn
News
A supply chain attack on Axios introduced a malicious dependency, [email protected], published minutes earlier and absent from the project’s GitHub releases.
Anthropic accidentally leaked ~500K lines of its Claude Code source due to a packaging error, exposing internal architecture, unreleased features, and performance data. The leak didn’t expose user data but effectively gave competitors a blueprint for building AI coding agents, raising concerns about security practices in AI companies.
Reading List
CTO, Obie Fernandez built a Claude Code-powered markdown “OS” (no templates or structure from him, just one prompt) that acts as his full-time executive assistant/CTO brain. It auto-handles meeting notes, action items, Slack posts, decision logs, 1:1 preps, calendar sync, and team context via voice + Rube integrations, letting him manage 10 engineers, ship code, and operate at C-level with superhuman focus.
What it takes to run 2 million lines of Haskell in production at a fintech company serving 300,000 businesses.
Scalability and reliability gaps in our Redis platform were a growing threat to Figma's site availability. This is the story of how we built FigCache, a foundational technology that underpins a reimagined internal platform for ephemeral data.
Dropbox reduced a massive 87GB monorepo to 20GB, cutting clone times from over an hour to under 15 minutes and significantly improving CI reliability and developer onboarding speed. The key insight is that repository size directly impacts developer velocity, so actively managing repo bloat is critical to maintaining fast feedback loops and scalable engineering productivity.
The official White House Android app has a cookie/paywall bypass injector, tracks your GPS every 4.5 minutes, and loads JavaScript from some guy's GitHub Pages.
The post is a practical roundup of shell shortcuts and habits that make command-line work faster and less frustrating. It highlights useful editing, navigation, and safety tips for Bash/Zsh users, plus a few portable tricks that work across POSIX shells as well.
When we investigated why our Atlantis instance took 30 minutes to restart, we discovered a bottleneck in how Kubernetes handles volume permissions. By adjusting the fsGroupChangePolicy, we reduced restart times to 30 seconds.
Watch, Listen
Learn how to use AI tools to become more productive as a developer. You will master AI pair programming and agentic terminal workflows using top-tier tools like GitHub Copilot, Anthropic's Claude Code, and the Gemini CLI. The course also covers open-source automation with OpenClaw, teaching you how to set up a highly customizable, locally hosted AI assistant for your development environment. Finally, you will learn how to maintain high code quality and streamline your team's workflow by integrating CodeRabbit for automated, AI-driven pull request analysis.
This episode is a discussion about what AI tools and technologies are actually worth paying attention to right now, with a focus on sorting through the hype and identifying practical use cases. It also covers how the fast-changing AI landscape is affecting software building, jobs, and the emerging Allium language Henry Garner co-authored.
This video explains how multi-cloud setups work in practice, using Netflix, Spotify, and Uber as examples. It focuses on the main implementation patterns, an abstraction layer called Control Plane, and a demo showing deployment and failover across AWS, Azure, and GCP.
Interesting Projects, Tools and Libraries
Multi-agent orchestration for Claude Code. Zero learning curve.
Your personal encyclopedia, written by agents.
Render markdown into email-safe HTML.
A knowledge graph for your codebase, written in markdown.
Versioned, fast, distributed Datalog engine for everyone.
Give agents everything they need to ship fullstack apps. The backend built for agentic development.
Workflow orchestration for AI coding agents, from task to merged PR.
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