Problem

Development teams make technology choices (DB, framework, build vs buy) without structured decision processes:

  • ADRs (Architecture Decision Records) are a recognized best practice, but too tedious to write manually — most teams skip them
  • Later, nobody can answer “why did we choose this technology?”
  • Existing ADR tools only provide empty templates — no AI-powered analysis
  • Decision history gets lost, causing teams to repeat the same debates

Pain Intensity: 7/10 - A root cause of technical debt

Market

  • Primary Market: Global dev teams, tech leads, architects
  • Segment: Startups to mid-size companies needing to document technical decisions
  • TAM: Engineering Effectiveness tools market $15-20B
  • Key Fact: Zero AI-native commercial ADR tools. Existing tools (adr-tools, Log4brains) are OSS with stalled maintenance

Solution

DevDecision - AI-powered multi-perspective technical decision record generator

Core Features

  1. Natural Language Tech Comparison: Analyze technology options from a simple question
  2. 5-Perspective Auto-Analysis: Cost, scalability, team expertise, maintenance, community
  3. ADR Markdown Generation: Ready to paste into team wiki
  4. Past Decision Search/Reference: “What was our rationale for choosing this DB?”
  5. PR/Code Linkage: Bi-directional links between decisions and implementations

Usage Scenario

# Install
$ npm install -g devdecision

# Analyze a technical decision
$ devdecision "PostgreSQL vs MySQL for new e-commerce project"

  🔍 Running multi-perspective analysis...

  ╔══════════════════════════════════════════════════╗
  ║  ADR-0042: PostgreSQL vs MySQL Selection         ║
  ╠══════════════════════════════════════════════════╣
  ║                                                  ║
  ║  📊 Cost Perspective                             ║
  ║  PostgreSQL: Free (OSS), hosting $50-200/mo     ║
  ║  MySQL: Free (OSS), Aurora $100-400/mo          ║
  ║  → PostgreSQL advantage (30-40% lower TCO)      ║
  ║                                                  ║
  ║  📈 Scalability Perspective                      ║
  ║  PostgreSQL: JSONB, partitioning, complex query  ║
  ║  MySQL: Easy read replicas, fast simple queries  ║
  ║  → PostgreSQL advantage for e-commerce           ║
  ║                                                  ║
  ║  👥 Team Expertise Perspective                   ║
  ║  Team profile: 5 backend devs, 3 with PG exp    ║
  ║  → PostgreSQL advantage (lower learning cost)   ║
  ║                                                  ║
  ║  🔧 Maintenance Perspective                      ║
  ║  PostgreSQL: Complex upgrades, mature ecosystem  ║
  ║  MySQL: Easy upgrades, Oracle dependency concern ║
  ║  → Tie                                          ║
  ║                                                  ║
  ║  🌐 Community Perspective                        ║
  ║  PostgreSQL: Active on SO, growing momentum      ║
  ║  MySQL: Larger absolute base, growth stagnant   ║
  ║  → PostgreSQL advantage                         ║
  ║                                                  ║
  ║  ✅ Conclusion: PostgreSQL recommended (4/5)     ║
  ╚══════════════════════════════════════════════════╝

  📄 ADR generated: ./decisions/adr-0042-postgresql-selection.md

# Search past decisions
$ devdecision search "database"
  → ADR-0042: PostgreSQL vs MySQL (2026-03-09)
  → ADR-0031: Redis vs Memcached (2026-01-15)

# Export to team wiki
$ devdecision export --format notion --id 0042

Competition

CompetitorPriceWeakness
Workik AI ADRFreeBasic templates only, no multi-perspective analysis
adr-toolsFree (OSS)Bash scripts, no AI, no collaboration
Log4brainsFree (OSS)Maintenance stalled, static site generator
Backstage ADR PluginFreeRequires full Backstage adoption, heavy infrastructure
dotnet-adrFree.NET ecosystem only, no cross-platform

Competition Intensity: Low - Zero AI-native commercial ADR tools Differentiation: AI-powered multi-perspective auto-analysis + CLI integration — existing tools only provide empty templates

MVP Development

  • MVP Timeline: 4 weeks
  • Full Version: 4 months
  • Tech Complexity: Low
  • Stack: Node.js CLI, LLM API (Claude/GPT), Markdown templates

MVP Scope

  1. Natural language query → LLM-based multi-perspective analysis
  2. ADR markdown auto-generation
  3. Local decision repository (JSON/SQLite)
  4. npm package publish

Revenue Model

  • Model: Freemium + Subscription
  • Pricing:
    • Free: 5 decision analyses/month
    • Pro: $7/mo (unlimited analyses, team sharing, history search)
    • Team: $19/mo (org decision repository, trend analytics, Notion/Confluence integration)
  • Expected MRR (6 months): $1,000-3,000
  • Expected MRR (12 months): $5,000-12,000

Risk

TypeLevelMitigation
TechnicalLowCLI + LLM API = perfect skill match
MarketLowNew category needs education → dev blogs/conferences for awareness
ExecutionLow4-week MVP for rapid validation, manage LLM costs

Recommendation

Score: 90/100 ⭐⭐⭐⭐⭐

  1. Zero AI-native commercial ADR tools — category creation opportunity
  2. 4-week MVP enables rapid market validation
  3. Perfect dev_tools domain fit
  4. Technical decision recording is a universal pain point — every dev team needs it
  5. Low technical complexity leveraging LLM APIs

Risk Factors

  1. “ADR” as a category has low awareness — market education needed
  2. LLM API costs impact margins
  3. Analysis quality depends on LLM performance

First Actions

  1. Develop CLI MVP (LLM multi-perspective analysis + ADR markdown generation)
  2. Test with 10 common technology decision scenarios
  3. VS Code extension for improved developer accessibility

This idea transplants ManyLens’ multi-perspective analysis concept into the technical decision-making domain, structuring the technology choice dilemmas developers face daily.