Why AI Coding Tool Fatigue Is Real — And How We Built a Stable 3-Tool Stack That Stops the Churn

TL;DR: 18 months, 5 primary editors, 0 net velocity gain. The problem wasn’t tool quality — it was undefined tool lanes causing context-switching tax. We froze the stack: Zed+Continue.dev (long refactors), VS Code+Cline (greenfield), Cursor (type surgery <30 min). Churn ended; satisfaction up. Full comparison →

The Context

Three-dev team, full-stack TypeScript/Go. Timeline: Jan 2025 — VS Code + Copilot. Mar 2025 — Cursor Composer (agent hype). Jul 2025 — Claude Code (terminal-native). Nov 2025 — Zed + Continue.dev (performance). Feb 2026 — Windsurf (Cascade agents). May 2026 — back to Cursor for “just one thing.” Each switch: 2–3 weeks ramp, config migration, muscle memory reset. Zero measured velocity improvement across switches.

What We Tested

Tool	Duration	Why We Switched	Why We Left
VS Code + Copilot	3 mo	Baseline	Chat UI, no agent loops
Cursor Composer	4 mo	Agent hype, Composer UX	Context loss >90 min, RAM bloat, forced updates
Claude Code	3 mo	Terminal-native, autonomous loops	Cost unpredictability, no IDE integration
Zed + Continue.dev	3 mo	Native speed, local models, persistence	No LSP integration for Continue, thin extensions
Windsurf	2 mo	Cascade agents, VS Code compat	$15/mo, still Electron, Cascade opaque
Cursor (again)	1 mo	TypeScript LSP best-in-class	Same reliability issues

The Pivot Point

June 1, 2026: Retrospective. “We’ve spent 40% of 2026 configuring editors.” Listed every task type, mapped to tool strength:

• Long refactors/migrations/debugging (>90 min) → Needs context persistence, terminal state → Zed + Continue.dev (local models, $0)
• Greenfield features/tests/docs → Needs terminal autonomy, tool allow-lists → VS Code + Cline (BYOK, OpenRouter)
• Type-heavy TypeScript edits (<30 min) → Needs inline LSP diagnostics → Cursor Composer (Pro, $20/mo)
• Quick questions/exploration → Claude Code (terminal, cc alias)

No new tools. No evals for 90 days. Result: June velocity +22% vs May, zero context-switching complaints, tool costs down 60% ($200→$80/mo team).

What We Use Now

Frozen 3-tool stack (90-day no-eval policy):

1. Zed + Continue.dev (Ollama: qwen2.5-coder:32b / deepseek-coder:33b) — Refactors, migrations, debugging, long sessions. Config: .continue/config.json committed to repo.
2. VS Code + Cline (OpenRouter: anthropic/claude-3.5-sonnet) — Greenfield features, test generation, documentation. Config: .clinerules committed.
3. Cursor Pro (Claude 3.5 Sonnet) — TypeScript interface Surgery, generics, complex type narrowing. Used <30 min/session.

Governance:

• DECISIONS.md in repo: tool lanes, model choices, cost limits
• Monthly: “Is any lane failing?” — if yes, fix config; if no, no new tools
• Quarterly: Re-evaluate only if lane fundamentally broken

When You’d Choose Differently

• Single-tool teams (2–3 devs): Pick the tool that covers 80% of your lanes acceptably. Cursor or Windsurf or Zed+Continue — consistency > optimization.
• Polyglot teams (Go/Rust/Python + TS): Zed or Neovim + language-agnostic agents (Continue, Aider, Cline) — VS Code/Cursor TypeScript bias hurts.
• Cost-insensitive / Enterprise: GitHub Copilot Enterprise + Codespaces — standardized, supported, expensive, good enough.

Tool Crucible Rating

Dimension	Rating (1–5)	Notes
Overall	4	Fatigue solved by governance, not tools; 3-tool stack is our local optimum
Ease of Use	3	3 tools = 3 configs, 3 mental models; but each lane is smooth
Value	5	$80/mo team (was $200); local models for 70% of tokens
Support	4	All 3 tools have active communities; frozen stack = stable target

---

This is part of our AI Coding Tool Evaluation series. See full comparison: AI Coding Tool Fatigue: How 5 Teams Broke the Churn Cycle