Claude is genuinely impressive, but it doesn t remove the need to understand programming fundamentals. You still need to know how systems connect, where data lives, how state is managed, what environments are (dev vs staging vs production), how deployments work, and how things actually run (& fail) in the real world.
For developers, Claude is an incredible accelerator. For non-programmers, it can feel magical at first, but at some point, real engineering knowledge becomes unavoidable.
New AI models pop up every week. Some developer tools like @Cursor, @Zed, and @Kilo Code let you choose between different models, while more opinionated products like @Amp and @Tonkotsu default to 1 model.
Curious what the community recommends for coding tasks? Any preferences?
Turn 10% AI coding success into 90% in just a minute. DevFlow gives your engineering team systematic workflows for Windsurf, Cursor, and Claude that actually work. Stop wasting ₹5L/year on unused licenses. We proved it with 90 developers: <20% adoption → 80% adoption, 10% success → 90% success, ₹1.95Cr annual waste eliminated. 6 workflows covering quick fixes, complex debugging, feature implementation, refactors, testing, and upgrades. Built fyndfox.com in 2 weeks to prove it works everywhere.
