WhatA tool that monitors AI-assisted development velocity and flags when teams are taking on too many projects or building the wrong things too fast, enforcing deliberate planning checkpoints before code generation.
SignalThe article argues that AI coding speed creates a trap where developers fill saved time with more projects rather than thinking more carefully, leading to worse outcomes despite higher output velocity.
Why NowAgentic coding tools (Cursor, Claude Code, Copilot) have hit mainstream adoption in 2025-2026, and teams are just now experiencing the hangover of AI-accelerated scope creep.
MarketEngineering managers and CTOs at companies with 20-500 devs adopting AI tools; ~$2B project management TAM expanding; competes with Linear/Jira but positioned specifically around AI-era workflow discipline.
MoatData flywheel — learns from project outcomes across customers to identify patterns of AI-accelerated overcommitment before they cause burnout or waste.
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