Why We Wrote Off the AI Dev Hype—and What We Use Instead

TL;DR: We replaced a feature-heavy AI dev suite with a minimal set of tools that do fewer things better — see our AI dev tools comparison.

The Context

We run Tool Crucible on a low-overhead stack. When a new AI dev tool trends on X, we add it to our evaluation queue. Over the last quarter, the pattern has been consistent: tools that promise integrated workflows ship hard-to-debug edge cases. The tools we keep going back to are simple, narrow, and composable.

What We Tested

Tool	Use Case	Verdict	Why
Trendy all-in-one dev agent	End-to-end project generation	❌	Setup friction and opaque failure modes
Claude Code + project CLAUDE.md	Code generation + context adherence	✅	Transparent failures we can trace
Cursor	Editor-native AI assistance	✅	Good UX, predictable integration with our existing editor

The Pivot Point

A trending tool replaced a working pipeline with its own task runner and promptly broke our build on the first commit. The error message was not actionable. We rolled back in ten minutes. The trend died for us right there.

What We Use Now

We use Claude Code for generation and small fixes, Cursor for exploratory refactors where visual context helps, and direct MCP calls when we need a specific external lookup. No orchestration layer, no wrapper, no proprietary workflow. The stack bootstraps in minutes on a new laptop, which matters because we work from two different Macs.

When You’d Choose Differently

If you are onboarding junior developers who need guardrails, a more opinionated suite may reduce cognitive load. We tested that scenario and found the guardrails often blocked exactly the prompts we needed. Your mileage will vary.

Tool Crucible Rating

Overall: 4 / 5
Ease: 5 / 5
Value: 5 / 5
Support: 3 / 5

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This is part of our AI dev tools evaluation series. See full comparison: AI Dev Tools