Why We Simplified Our AI Coding Workflow

TL;DR: We reduced our AI dev stack to core tools and context files to cut overhead — see our full comparison.

The Context

In the last six months, our small tool-evaluation lab tried at least six wrapper and orchestration layers on top of AI coding assistants. We run a two-person engineering team with no dedicated devops person, so any tool that adds a deployment or configuration step gets scrutinized. The hypothesis was that more abstraction meant faster shipping. It didn’t.

What We Tested

Tool	Use Case	Verdict	Why
Wrapper-heavy setup (composite)	Scaffolding + deployment	❌	Each wrapper added its own config surface; debugging became guesswork
Claude Code + direct MCPs + CLAUDE.md	Context-first coding	✅	One config file, one model, predictable failures
Browser-based AI IDE	Quick edits	✅/❌	Good for throwaway patches, bad for anything requiring persistent state

The Pivot Point

The breaking point wasn’t a major outage. It was a forty-minute debugging session trying to figure out why a wrapper silently dropped context. We realized we were spending more time managing the tooling than writing code. That week we stripped everything back to Claude Code, Cursor, and our project CLAUDE.md files.

What We Use Now

Claude Code with direct MCP access and a per-project CLAUDE.md for project-specific instructions. Sub-agents are used only when the task is discrete and the context window is large enough. No middleware, no orchestration framework. The setup bootstraps in under two minutes on a new machine.

When You’d Choose Differently

If you are managing a ten-person team with different model preferences, a wrapper that standardizes prompts and access may be worth the overhead. We evaluated that scenario and decided it didn’t apply at our size. Larger teams with compliance requirements may also need audit logs that a thin wrapper provides natively.

Tool Crucible Rating

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

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This is part of our AI coding workflow optimization evaluation series. See full comparison: AI Coding Workflows