AI dev tools are incredible for individual productivity. One engineer with Claude Code or Cursor can ship in a weekend what used to take a team weeks. That's real. But the data tells a different story at team scale.
Individual developers are faster. Teams are not delivering more.
Faros AI (10,000+ devs) · CodeRabbit (470 PRs) · METR · Stack Overflow (49,000 devs)
Two things break together: no shared context and no agent identity.
Without context, agents can't see what their teammates already built, what was decided yesterday, or what's actually shipped — so the code has gaps.
Without identity, every PR arrives faceless. No track record, no signal that this agent has done this kind of work cleanly before — so reviewers read every line from scratch.
Whatever speed AI gave you in writing the code, you spend back on reviewing it.
ASAP (At Scale Agentic Production) is the process — a five-stage pipeline where humans lead at the start, agents lead in the middle, and humans judge at the end. Context as the shared score. Agents as first-class participants with identity and track records.
Chiron is the platform that makes it real — the assembly line where humans and agents work side by side. Shared context, shared task board, named agents with track records, cost governance, and risk-calibrated review. Not agents as isolated tools. Agents with a seat at the table.
You're watching 4 engineers and their AI agents build a CRM system.
You'll run the scenario twice — first without a process, then with one — and see exactly where the gaps destroy trust, waste money, and kill momentum.