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A developer has created an open-source CLI toolchain that generates fully functional NestJS, Go, Spring Boot, Laravel, and Rust applications from a single plain-text PRD file, without requiring an IDE, account, or networ…
AWO is a new Go CLI tool that runs Claude Code and Codex in isolated git worktrees, preventing agent edits from directly modifying a developer's working tree. The tool executes agents in single, writer-reviewer, or compe…
A developer built **skill-insp**, a Claude Code skill that automatically evaluates other skills across eight weighted dimensions and produces a score out of 100. The tool analyzes SKILL.md files for common mistakes like …
AI app deployment platforms in 2026 are divided into two distinct categories: Layer 1 for hosting model weights and GPU inference, and Layer 2 for hosting the application code that calls those models. Most teams shipping…
The article describes the author's attempt to integrate the i3 tiling window manager with the Emacs text editor by creating shared keybindings. After finding that using a script with xdotool and emacsclient was too slow …
The article discusses the security risks of multimodal AI systems used in engineering, specifically a multi-agent platform developed by Skoltech that reads blueprints and building codes to propose structural designs. It …
This article provides a step-by-step guide on building a CI/CD pipeline for a Dockerized Node.js application using Jenkins. It explains the transition from a manual deployment process, where a Jenkins job must be trigger…
This article explains how developers and open-source communities collaborate, using the KServe project as a real-world example. It describes the step-by-step process of contributing to open-source projects on GitHub, emp…
A self-taught 19-year-old developer in Nigeria tested Google DeepMind's Gemma 4 E2B model on an 8GB RAM laptop without a GPU. He fed the model a degraded, double-compressed WhatsApp screenshot of code containing a SQL in…
This article describes Kanbots, an open-source Kanban desktop application that allows users to run AI agents (like Claude Code or Codex) in parallel on individual cards, with each agent operating in its own git worktree.…
Jacob, founder of Sancho Studio, argues that large language models perform best with programming languages that have consistent, low-variance ecosystems. Languages like Go and Ruby on Rails produce more reliable agentic …
A debate on Hacker News sparked by a blog post arguing that people who rely heavily on AI will be "left behind" because they will lose critical thinking, coding, and learning skills. In contrast, the opposing camp claims…
An experiment using local Large Language Models (LLMs) to perform security checks and code quality reviews, motivated by rising costs and new limits for cloud-based LLM APIs. The author selected the `qwen2.5-coder:14b-in…
Methodology for testing distributed and stateful systems using AI coding agents that execute two specialized skills: one to design a claim-driven test plan and another to execute it. The approach produces structured Mark…
Llm-cacher**, an open-source Node.js caching library for LLM API calls, after realizing that repeated or similar prompts during testing and production lead to unnecessary costs. The library offers zero-code-change integr…
Google AI Studio is evolving from a simple model playground into a full-stack development platform that streamlines the entire workflow of building AI-powered applications. The platform now offers features like context-a…
Using GitHub Copilot CLI as a triage tool to manage open-source contributions across over 40 repositories. The workflow relies on four key prompts: explaining a repo's architecture, locating specific files, explaining fu…
Shifting from using coding agents solely for software development to applying them broadly for "knowledge work," such as creating presentations and spreadsheets. This behavioral change was driven by features like durable…
Daemons, a new AI-powered tool from Charlie Labs, now automates recurring product and engineering tasks like issue labeling, PR review assignments, bug triaging, and code documentation drift detection. The system operate…
Canonical has developed an internal AI-powered auditing agent called Redhound that autonomously discovered three critical logic vulnerabilities in the LXD container and virtual machine manager, bugs that had survived yea…