How One Team Replaced a 6-Figure HubSpot Agency with Claude Code

A mid-sized e-commerce company (~15 products across Shopify, Recharge, Digistore24, GoAffPro, and ads) needed to migrate from Zoho CRM, Zoho Desk, and KlickTipp to HubSpot Enterprise. Agency quotes ranged from 20k EUR (templated) to 80k EUR (mid-tier custom objects) — but none offered end-to-end custom middleware for sync/reconciliation. The team decided to build it themselves with Claude Code (desktop app, Opus 4.7, subscription plan).
What Was Built (in 4 months, ~30 sessions of 2-4h each)
- 6 Custom Objects + ~100 properties + associations
- 5 source-system integrations on self-hosted n8n: Shopify, Digistore24, Recharge, GoAffPro, Cart-Notifier — each with inbox pattern, idempotent upserts, reconciliation, backoff/retry, audit trail
- 1 custom Cloud Run service for inbox-polling at 15s cadence
- 10 Lifecycle stages + Funnel/Segment property layer
- Aggregator workflow that backfills 9 contact properties from sync-mirror objects (idempotent, Postgres cursor, cron-driven)
- KlickTipp migration: 202 tags audited, custom object for webinar registrations, consent governance
- Google Ads CAPI (11 conversion actions, enhanced conversions) + Meta CAPI (Pixel + server-side)
- 33 ADRs (architecture decisions, append-only, never deleted)
The author estimates the full deliverable would cost 120-180k EUR from an agency — and most can't deliver the custom middleware piece.
The Mental Shift: Claude Code as System-of-Record
Only ~20% of the repo is code. The other 80% is Markdown: architecture decisions, integration specs, runbooks, ADRs, naming conventions, consent governance. The repo becomes the single source of truth for how the business runs in HubSpot. When code is needed (Python helpers, backfill scripts, Cloud Run service), Claude writes it. For workflow logic, they use n8n — Claude builds/updates workflows via the n8n MCP server.
Repo as Memory Between Sessions
Claude Code sessions are stateless. The team treats this as a design constraint: state lives in files. Key practices:
- ADRs capture every architecture decision with reasoning and trade-offs — new sessions read them and don't re-debate
- Spec files per integration/area with a Status header — single source of truth for implementation state
- Slash commands (
/implement,/verify,/new-task) enforce discipline — Definition-of-Done gate, drift checks, atomic status updates - Cheatsheets for HubSpot operations (which work via API tools vs direct API calls vs UI clicks) and known bugs (HubSpot search index latency, Recharge enumeration-vs-bool, n8n auth races)
📖 Read the full source: r/ClaudeAI
👀 See Also

Daily 3.5-Hour Voice + Claude Workflow: Dictate Specs While Walking, Build with Claude Code
A developer walks 3 dogs 12+ times daily (3.5 hours) and uses voice + Claude to brainstorm, research, and produce spec.md files. Then Claude Code builds from those specs.

Practical Lessons from Building a Permanent Local AI Companion Agent
A developer shares insights from running a self-hosted AI agent on an M4 Mac mini for months, covering memory architecture, system prompt optimization, local embeddings, model ladders, and tool iteration limits.

Replicating Anthropic's Generator-Evaluator Harness with Kiro CLI: A 12-Iteration Website Build
A developer replicated Anthropic's multi-agent Generator-Evaluator harness using Kiro CLI, running 12 adversarial iterations to build a marketing website without writing any code manually. Key takeaways include zero shared context, Playwright-based visual evaluation, and penalizing generic AI design patterns.

User Successfully Uses Claude AI to Draft Legal Mitigation Statement
A Reddit user reports using Claude AI to help win a traffic offense case by downloading offense details and prompting Claude to write a mitigation statement, which impressed the judge.