Discover the best strategies for finding free AI coding assistants. Learn about the trade-offs between cloud services with limited free tiers and the powerful, cost-effective alternative of running models locally.
An analysis of how software engineers are truly feeling about AI tools, exploring the deep divide between reported productivity boosts and the frustrating reality of debugging AI-generated 'slop'.
Developers are concerned that AI tools like Copilot may weaken their critical thinking. Explore practical strategies to balance AI-driven productivity with maintaining your core problem-solving abilities.
An analysis of why AI coding tools like Claude Code and Cursor have captured developer mindshare, exploring their superior UX, effective pricing models, and the shortcomings of competitors like Gemini.
Developers share their real-world experiences and practical tips for using Claude Code and other AI assistants effectively, covering everything from prompt strategy and language choice to advanced tooling.
Developers discuss the mental fatigue from switching between manual coding and AI tools, sharing causes like flow disruption and dopamine crashes, plus strategies to cope.
A Hacker News discussion explores why many programmers still prefer 'old-fashioned' coding without LLMs, citing joy, understanding, and learning concerns. Is AI-free coding obsolete or essential?