GTM OpsHello OperatorVictor's pick
Make Friends With Your Market
useful booth manning advice
Personal Productivity & AI-Augmented WorkLenny's Newsletter
How Intercom 2x’d their engineering velocity in 9 months with Claude Code | Brian Scanlan
ai-coding-toolscursor-vs-copilotautomation-stacks
“100% of engineers—plus designers, PMs, and TPMs—now shipping code via Claude Code”
Key takeaways
- Intercom doubled engineering throughput (merged PRs per R&D employee) in 9 months using Claude Code while maintaining code quality
- Built custom telemetry infrastructure to measure AI adoption and quality impact across hundreds of engineers, plus skills repository with automated enforcement hooks
- Achieved 100% adoption across engineering AND expanded to non-technical roles (designers, PMs, TPMs) shipping code—suggesting AI coding tools democratize development
- Preparing for agent-first world with CLIs, MCPs (Model Context Protocol), and ephemeral APIs—architectural shift beyond just productivity gains
- Permission and accountability framework enabled rapid adoption; 'backlog zero' now achievable, fundamentally changing engineering culture and planning
Why this matters for operators: Engineering leaders evaluating AI coding tool ROI and adoption strategies; companies considering Claude vs Cursor/Copilot
I cover AI×GTM intelligence like this every Wednesday.
Get STEEPWORKS WeeklyMore picks
Human-AI IntersectionTechCrunch AIVictor's pick
Meet Shapes, the app bringing humans and AI into the same group chats
this is just ...cool?
- Shapes is positioning as 'Discord with AI characters' - group chat with AI participants
- Represents emerging category of AI-as-peer vs AI-as-tool
- Insufficient detail to assess product-market fit or GTM relevance
ai-collaboration-toolsconversational-aihuman-ai-interaction
AI Developmentn8n Blog
Human-in-the-Loop vs. Human-on-the-Loop: When To Use Each System
- HITL (human-in-the-loop) requires human approval before AI executes critical actions - synchronous control pattern used for high-stakes decisions, compliance requirements, and low-confidence scenarios
- HOTL (human-on-the-loop) allows AI to execute autonomously while humans review results and adjust parameters - asynchronous pattern for scalable operations with exception-based oversight
- Framework applies across use cases: loan approvals, customer emails, social posts, fraud detection, and compliance workflows - choice depends on risk tolerance, regulatory requirements, and operational scale needs
automation-stacksai-policyhuman-first-sales
This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.