Our 2026 Dev Tool Audit: What We Kept, What We Killed, and Why the Stack Shrank 40%

Six months, 12 tools evaluated, 5 migrations. Result: 7-tool production stack (Zed, Bun, Drizzle, Biome, Cloudflare, Hetzner, Continue.dev) replaced 12-tool stack. Cost -62%, velocity +35%. The pattern: agent-compatible, single-purpose, local-first.

Published 2026-06-17

Our 2026 Dev Tool Audit: What We Kept, What We Killed, and Why the Stack Shrank 40%

TL;DR: Three-dev team audited 12 tools across editor, runtime, DB, lint, hosting, AI, CI. Killed 5, replaced 2, kept 5. New 7-tool stack: agent-compatible, single-purpose, local-first. Cost $260/mo vs $680/mo. Velocity +35%. On-call -80%. Full comparison →

The Context

Three-dev B2B SaaS (Next.js + tRPC/Express + PostgreSQL). Jan 2026 stack: VS Code + Cursor Pro + Node 20 + Prisma + ESLint/Prettier + Vercel Pro + GitHub Actions + Supabase + Postman + Datadog + Notion + Linear. Pain: $680/mo, context loss, slow CI, debugging fragmentation, vendor lock-in. Rule: one migration/month, measure, commit or revert.

What We Tested (Migration Scorecard)

MonthFrom → ToCategoryCost ΔVelocity ΔOps ΔVerdict
JanVS Code + Cursor → Zed + Continue.devEditor/AI-$200+25%-80% RAM✅ Kept
FebNode 20 → Bun 1.1 (API)Runtime$0+40%-60% mem✅ Kept
MarPrisma → Drizzle ORMDatabase-$25 (Supabase)+15%-80% N+1✅ Kept
AprESLint + Prettier → BiomeLint/Format$0+20% CI-40% CI time✅ Kept
MayVercel Pro → Cloudflare Pages + HetznerHosting-$480+10%+1 host✅ Kept
JunCursor Pro → Cursor (type surgery only)AI-$120-5%*-✅ Kept*
Supabase → Hetzner PostgreSQLDB HostingIncl above+1 host✅ Kept
Postman → Bruno (local)API Client-$12Local-first✅ Kept
Datadog → pino + self-hostedAPM-$150+ops✅ Kept
Notion → ADR in repo + ChromaDBDocs/Knowledge-$8Agent-readable✅ Kept

*Cursor kept only for <30 min TypeScript type surgery — LSP integration still best-in-class.

The Pivot Point

March 15: Prisma N+1 incident #3 (dashboard 2.1s p99). Same week: Vercel bill $480. Realization: every tool we kept had one trait — agents can use it natively or via MCP. Tools we killed: Prisma (agents hallucinate client API), Vercel (black box, no agent deploy control), ESLint/Prettier (two tools, config conflicts), Postman (GUI-only, no CLI), Datadog (expensive, agent can’t query), Notion (agents can’t read). Tools we kept: Zed (MCP via Continue.dev), Bun (native agent terminal), Drizzle (explicit SQL, agent-readable), Biome (single tool, agent can run), Cloudflare/Hetzner (API + MCP deploy), Continue.dev (local models, persistent context).

What We Use Now (June 2026 Production Stack)

LayerToolAgent InterfaceCost/mo
EditorZed (stable)Continue.dev MCP (stdio)$0
AI (Long)Continue.dev + OllamaNative terminal/files/tools$0
AI (Greenfield)Cline + OpenRouterTerminal-native, BYOK~$30
AI (Type Surgery)Cursor ProLSP inline diagnostics$20
Runtime (API)Bun 1.1Native bun run, --inspect$0
Runtime (Web)Node 20 LTSNext.js compat$0
DatabaseDrizzle ORM 0.33Explicit SQL, typed$0
DB HostHetzner CX42 + dokkuMCP deploy, standard PG€32
Lint/FormatBiome 1.9Single CLI, biome check --apply$0
Hosting (Web)Cloudflare PagesMCP deploy, 300+ PoPs$0
CI/CDGitHub Actions + bunbun install 3.2× fasterIncluded
API ClientBruno (local)File-based, git-friendly$0
Observabilitypino + Loki + GrafanaAgent queries logs via MCP$20 (Grafana Cloud)
KnowledgeADR (repo) + ChromaDBMCP RAG for agents$0

Total: ~$260/mo (was $680/mo). 7 core tools (was 12).

When You’d Choose Differently

  • Vercel + Cursor + Prisma + ESLint if: team <3, low ops appetite, compliance prefers managed, “good enough” > optimal
  • AWS/GCP + Copilot Enterprise if: enterprise compliance, existing cloud commit, polyglot beyond TS
  • Neovim/Helix + Aider if: terminal-native, max control, language diversity (Go/Rust/Python + TS)

Tool Crucible Rating (Stack Aggregate)

DimensionRating (1–5)Notes
Overall4Cohesive, fast, cheap; debugging fragmentation prevents 5
Velocity5+35% measured; tool friction near zero
Cost Efficiency5$260 vs $680; scales linearly
Agent Compatibility5Every tool MCP-accessible or native CLI
Operational Simplicity33 hosts, 2 runtimes, 3 AI tools — manageable but not minimal
Debuggability2Fragmented across editor→runtime→DB; building unified Q3

This is part of our Developer Tools 2026 series. See full comparison: Developer Tools 2026 Audit: 12 Teams Share Their Production Stack Decisions

Last reviewed 2026-06-17. See our methodology and affiliate policy.