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- Programmer Weekly (Issue 325 November 5 2026)
Programmer Weekly (Issue 325 November 5 2026)
Rahul Chaudhary
November 05, 2026
In partnership with
Welcome to issue 325 of Programmer Weekly. Let's get straight to the links this week.
The AI Work Handbook That Cuts Your Workday in Half
The 8-hour workday is becoming a 4-hour workday for people who know how to use AI.
Everyone else is still catching up.
This AI work playbook shows you exactly how to cut your work hours in half using AI.
Sign up for Superhuman AI and get:
50+ step-by-step AI tutorials to cut your workload in half — covering every part of your workday, from emails to strategy, used by 1M+ professionals at Google, Microsoft, and NASA
Superhuman AI newsletter (4 min daily) so you keep discovering new AI tools and skills to stay ahead in your career — the playbook is just the start
Quote of the Week
"Experience is simply the name we give our mistakes in production." — Adapted from Oscar Wilde
Reading List
Building agentic-scale source control while investing in the Git ecosystem.
What would PostgreSQL look like if redesigned from scratch today? Egres explores that question with a new Zig-based database engine featuring LSM-tree storage, zero-copy branching, and multi-tenant resource management, alongside benchmarks showing substantial gains over PostgreSQL on selected workloads.
Makefiles can become difficult to maintain as projects grow, particularly when managing dependencies and build configurations. CMake, Meson, and Just offer alternatives with simpler workflows and fewer of Make's quirks.
Jepsen uncovered 96 issues in ParticleDB, including lost committed writes, incorrect query results, and broken transaction isolation, often without crashes or network failures. Most were fixed during testing, but serious consistency problems remained in the last version Jepsen evaluated.
Daniel Lemire finds an optimization GCC and Clang miss when dividing signed 32-bit integers, eliminating unnecessary instructions by exploiting 64-bit arithmetic. Benchmarks show lower latency for division by certain constants and more than twice the performance of hardware division in a runtime-divisor test on Intel.
Building a music notation engine turns out to involve far more than drawing notes on a screen. This two-year project explores layout algorithms, collision detection, rendering performance, and visual regression testing, with code and architecture diagrams showing how it all fits together.
WebRTC prioritizes low latency by discarding late audio packets, potentially leaving voice AI agents with incomplete user input. Media over QUIC offers a different approach using retransmissions, buffering, and configurable latency budgets to preserve context without sacrificing responsiveness.
How much does your JavaScript framework affect the cost of AI-generated code? Nolan Lawson benchmarks 12 frameworks across token usage, development time, code size, and browser performance, finding substantial differences between popular choices.
After moving from PostHog to AI-native startup Tano, engineer Neil Kakkar increased his monthly pull request output 11-fold using AI coding agents and automated reviews. He examines how faster development eliminates traditional bottlenecks while introducing new challenges around context switching, code quality, team coordination, and burnout.
Will Larson describes a verification workflow that requires AI coding agents to document how they tested their changes before submitting pull requests. Automated code reviews and daily feedback loops help identify verification gaps, improve development tooling, and make AI-generated code more reliable.
DoorDash reduced LLM search-grounding costs by over 98% without sacrificing accuracy by separating search retrieval from model reasoning. Its MCP-compatible architecture uses interchangeable search providers, semantic caching, and configurable retrieval to improve cost efficiency, latency, and reliability.
Watch, Listen
The video features Stephen Toub, a Microsoft engineer, discussing how he used AI agents to port the 400,000-line GitHub Copilot runtime from TypeScript to Rust. He explains the rollout strategy, the use of multiple LLMs for code reviews, and the business case for improving performance and scalability.
This video demonstrates how to manually recreate common Linux file management utilities like touch, cat, mkdir, mv, and rm using the C programming language. The developer walks through writing the source code from scratch, providing a hands-on guide to understanding how these fundamental system commands interact with the OS.
Throughout this hands-on ethical hacking crash course, you will learn the core Linux fundamentals and essential command-line tools needed to navigate and audit target systems effectively. From network scanning and web enumeration with tools like Nmap, Dirsearch, and Burp Suite, to exploiting vulnerabilities and writing your own automation scripts, you will gain practical, real-world skills. Everything is demonstrated safely and legally inside a local CTF lab environment, so let’s dive right in and get started!
Book
A practical handbook for software developers covering everything from requirements gathering and technical estimates to code reviews, stakeholder communication, and difficult conversations. Includes actionable advice for working with teammates, managers, and non-technical stakeholders.
Interesting Projects, Tools and Libraries
Craft Anything is an open-source tool that inspects websites, applications, and games, then uses AI coding agents to recreate them and verify the results against the originals.
A free, real-time cybersecurity dashboard tracking software vulnerabilities, breaches, and supply-chain attacks, with severity ratings, patch status, and AI-ready remediation guidance.
The Office Harness for AI Agents - Spreadsheets, Docs, Slides, Canvas, Relational Tables, and PDF in one runtime.
Open-source Grok Bot alternative with a virtual machine that bots can use.
Develop desktop apps with native UI or web frontend in Go.
DeepSeek's open-source superagent prototype autonomously handles GitHub development tasks in isolated agent sessions, creates pull requests, and minimizes human intervention while operating within team-defined permissions.
Vorssaint is a free, open-source macOS menu bar toolkit combining system monitoring, window management, clipboard history, audio controls, screenshots, and app management in one customizable app, without subscriptions or tracking.
OpenMAIC is an open-source, multi-agent AI platform that turns topics and documents into interactive classrooms with AI teachers, quizzes, simulations, slides, and real-time discussions.
Agent Desktop is an open-source CLI that lets AI agents interact with desktop applications on macOS, Windows, and Linux using accessibility APIs instead of screenshots or pixel matching.
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