Code Review

Explore the challenges and productive uses of AI in software development, from managing low-quality generated code to leveraging LLMs for TDD and workflow optimization. Discover how developers are adapting to maintain code quality and boost productivity with AI tools.

Explore practical strategies for building confidence in open-source software and hardware, covering everything from reproducible builds and dependency management to mitigating hardware firmware risks. Learn how to minimize blind trust in your computing environment.

A guide for developers on adopting AI coding assistants, covering top tools like Cursor and Claude, effective workflows like maintaining a context file, and best practices to avoid common pitfalls.

As AI coding assistants become more prevalent, many developers express sadness about losing the creative aspects of their job. This analysis explores the debate, from fears of becoming a bored reviewer to the pragmatic view of AI as a tool for automating tedious tasks.

A C-level exec claimed 95% of their company's code is written by AI, sparking a debate. Discover how software engineers are actually using AI tools, the real productivity gains, and why the job is evolving, not disappearing.

Can you effectively code on your phone? Developers share their experiences, favorite tools (SSH, Working Copy, Termux), and discuss the types of tasks best suited for mobile development environments.

Explore strategies and best practices discussed by developers for preventing accidental commitment of secrets like API keys and credentials to Git repositories, focusing on culture, process, and tooling.

A Hacker News discussion explores developers' existential dread as LLMs change coding, debating AI's true impact, the nature of software creation, and strategies for finding purpose and joy in an evolving tech landscape.