Ask HN: How is AI-assisted coding going for you professionally?

2026-03-15 | original

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Why This Matters

This discussion highlights the real-world applications and limitations of AI-assisted coding tools in professional environments, providing valuable insights for developers and tech companies alike. As AI continues to evolve, understanding its practical impact helps shape future development strategies and adoption practices.

Key Takeaways

AI tools can improve coding efficiency but may face challenges with complex or nuanced tasks.
User experiences vary based on project type, team size, and developer expertise.
Sharing concrete feedback helps refine AI tools to better meet industry needs.

Comment sections on AI threads tend to split into "we're all cooked" and "AI is useless." I'd like to cut through the noise and learn what's actually working and what isn't, from concrete experience.

If you've recently used AI tools for professional coding work, tell us about it.

What tools did you use? What worked well and why? What challenges did you hit, and how (if at all) did you solve them?

Please share enough context (stack, project type, team size, experience level) for others to learn from your experience.

The goal is to build a grounded picture of where AI-assisted development actually stands in March 2026, without the hot air.

Explore topics: ai-assisted coding openai github copilot software development ai tools