A comprehensive guide to context management strategies for developers using the Claude Code terminal-native coding assistant.
Explores how the metrics platforms expose (like engagement) shape developer behavior and product ethics, arguing they are not neutral technical choices.
A developer shares their essential terminal tools for coding in 2026, including shell history, editors, and LLM CLIs.
A developer shares his experience using Claude AI to accelerate coding tasks, including database support and performance optimizations.
A guide to using the ccusage tool to track and analyze your Claude Code token usage and cache efficiency from local logs.
Explores the need for new developer tools like Entire to manage AI-generated code, as traditional Git struggles with agent-written commits lacking context.
A developer shares a tool for tracking Codex AI token usage and costs from local logs, providing detailed daily breakdowns.
Mitchell Hashimoto introduces Vouch, a system to combat low-quality AI-generated PRs in open source by requiring user vouching.
A programmer shares his joy and reduced fear about AI coding agents, quoting David Crawshaw on how they enhance programming.
A software engineer's lament on AI's impact on programming, mourning the loss of hands-on coding as a craft.
Distinguishes reckless 'vibe coding' from disciplined, AI-assisted professional software engineering, proposing 'agentic engineering' as a better term.
Introduces the Agent Client Protocol (ACP), an open standard for unifying communication between AI coding agents and code editors.
Steve Yegge discusses evolving the Beads CLI for AI agents by implementing their 'hallucinations' to create a natural interface.
A software engineer's personal journey from skepticism to embracing AI coding assistants, examining the tribalistic debates surrounding LLMs in development.
A curated list of free online resources, tools, courses, and communities for beginners starting a career in software development.
A developer details using their own tool, AI DevKit, to build its features, exploring how to make AI coding more predictable and efficient.
Explores the two distinct uses of AI-assisted coding: professional developer acceleration and 'vibe coding' for rapid prototyping, and the implications for the industry.
Author discusses appearing on Scott Hanselman's podcast to talk about writing and developer tools.
A developer shares their updated list of essential software utilities and tools for programming and productivity in 2026.
An overview of the GitHub Copilot SDK, showing how to embed AI coding assistance into custom applications using .NET, Python, Go, and JavaScript.
