Code Generation

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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 why many skilled software developers are hesitant to adopt AI coding assistants, citing concerns over code quality, long-term maintainability, and the nature of their work.

Discover which AI models developers are actually using for coding assistance. Learn the specific strengths of tools like DeepSeek, Claude, Gemini, and QWEN Coder for tasks from prototyping to bug fixing.

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'.

AI coding assistants promise to boost productivity, but many developers find they destroy the focus and enjoyment of a 'flow state.' Discover the practical strategies and mindset shifts developers are using to stay productive and engaged in the age of AI.

The term 'vibe coding' has emerged to describe AI-assisted programming, but what does it really mean? Explore the debate between relying on AI intuition and using structured, specification-driven approaches for maximum productivity.

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.

Discover how tech professionals' perspectives on AI have shifted from initial skepticism to practical application. Learn how they leverage it as a tool for specific coding tasks while remaining cautious about its hype and limitations.

Frustrated with AI coding assistants like ChatGPT and Claude giving you bad code? Discover key strategies for improving their performance, from advanced prompting techniques to proper context management.

Developers discuss their real-world local LLM setups, sharing practical tools like Ollama, clever workflows for code explanation and automation, and a breakdown of the hardware vs. cloud subscription debate.