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?

We just shipped Adaptive s dev tool integrations, now supporting Claude Code, OpenAI Codex, Kilo Code, Cline and more.

Same experience.
Same workflow.
Up to 90% cheaper.

Adaptive automatically routes each request to the best model for the job.
It benchmarks models by task type, domain, and complexity, then picks the most efficient one that still meets quality thresholds.

Under the hood, it uses NVIDIA s Prompt Task & Complexity Classifier and builds on Google s UniRoute for model generalization.

Hey Product Hunt community! I wanted to share something I've been working on that might help fellow developers dealing with expensive Claude Code bills.

The Problem: Claude Code is amazing for development - it understands your entire codebase, writes code, handles git operations, and works directly in your terminal. But the pricing tiers ($20, $70, $200/month) can get expensive, especially for teams or heavy users who need the higher plans.

What I Built: Adaptive Claude Code uses our intelligent routing API to cut Claude Code costs by 60-90% without sacrificing quality. It works by analyzing each prompt (complexity, tool usage, context) with a DeBERTa classifier and automatically routes simple tasks to cheaper models while sending complex reasoning to premium ones.

Why It's Different: Most cost-saving approaches require you to manually choose models or compromise on quality. Adaptive Claude Code makes the decision automatically in ~20ms, so your development workflow stays identical - same claude command, same codebase understanding, same file editing capabilities, just way cheaper.