AI coding tools have collapsed the software development lifecycle. Code that used to take weeks now ships in minutes, across deployment chains that are quick to assemble but hard to operate. The result is the runtime context gap: what's running grows exponentially while what developers actually understand about their systems shrinks. Every runtime failure becomes a rabbit hole that breaks developer flow - the developer didn't write the code, didn't configure the infrastructure, and has no context to start from.

ControlTheory closes that gap with continuous runtime feedback - always-on analysis that watches behavior across the full deployment chain (Vercel, Supabase, Railway, Kubernetes, AWS, OpenTelemetry, and more), correlates issues across stacks, and feeds runtime context directly back into the development flow inside Claude Code, Cursor, Copilot, and other AI coding tools. No context switching, no rabbit holes.

Our products:

- Dstl8: the runtime feedback loop for the AI SDLC, powered by our Möbius AI agent for root cause analysis, impact assessment, and fix recommendations. Available in Pro, Scale, and Enterprise tiers.
- Gonzo: the open source terminal (TUI) companion for log analysis and runtime triage. Free, fast, and integrated with Dstl8.

The feedback loop between AI code and runtime reality.

ControlTheory

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