Find what broke.
Across every deployment.

Dstl8 streams logs from Vercel, Supabase, Kubernetes, and 50+ sources, then uses Möbius AI to tell you what failed, why, and where — with evidence from your actual logs. Built for teams shipping AI-native code.

14 day trial · No card required · Full access

AI ships in 30 seconds.
Debugging takes 3 hours.

Your stack wasn’t built for the volume — or the failure modes — of AI-generated code.

Unknown unknowns

Dashboards catch failures you’ve already seen. AI-generated code breaks in ways nobody wrote an alert for — novel service interactions, unexpected dependencies, agent loops that drift without throwing. Your alerts stay silent while production degrades.

10x the logs, same two eyes

Claude Code, Cursor, and Copilot ship code 10x faster — and generate 10x more log volume. Pipelines fragment across Vercel, Supabase, Kubernetes, OTel. Finding the one line that explains the failure means correlating six dashboards by hand at 2am.

Reactive, not proactive

Your observability tells you something broke. It can’t tell you what, why, or where to look first. By the time the page fires and you’ve opened the laptop, customers have already noticed. Debugging is 90% finding, 10% fixing — and finding is where you lose the night.

Dstl8 distillation flask icon (distill logs into incident insights)
Gonzo terminal UI screenshot with log heatmap and pattern extraction
Dstl8 logo (ControlTheory observability distillation)

Dstl8 finds what broke before your customers do. Built for engineering teams shipping AI-generated code, Dstl8 catches unknown behaviors in dev and staging — the novel failure modes your dashboards weren’t configured to watch for. Powered by Möbius AI, our three-layer architecture distills telemetry, identifies patterns, and answers “what’s wrong and why” in real time.

Stream: Live log view across multiple sources (Vercel, Supabase, K8s) with severity highlighting and regex filter visible.
Ask: Möbius AI chat: user types “What broke in the last deploy?” — answer surfaces with cited log lines.
Distill: OTel pipeline view showing ingest volume before/after, with cost-savings metric visible.

Works with your stack. Don’t rip anything out.

ControlTheory integrates with runtime platforms and your favorite AI coding tools to continuously distill telemetry and deliver always-on analysis that keeps up with the speed, volume, and emergent behaviors of AI-generated code. Not periodic checks — continuous assurance. Dstl8 correlates issues across and between deployment chains — the opaque vibe-stack infrastructure that’s quick to set up but impossible to debug manually.

Learn more about our integrations…

Community testimonial logos for ControlTheory and Gonzo

TUI tool for log analysis. It looks cool and seems
really good. It even has a heatmap.
It can also receive logs in real-time via
OpenTelemetry. It’s super modern. Yay yay!

It’s exactly what I’ve been dreaming about as the
ideal UX for logs analysis in Uncloud CLI/TUI.

This is a great tool and it immediately became
part of my toolset.

I decided to give it a shot. It’s really nice! One of
the things I always loved about datadog’s log
analysis tool was its ability to surface log patterns.

Great tool ! awesome job!

Built for high velocity teams

Teams shipping with AI coding tools

AI-generated code creates the most acute monitoring gap — novel failure modes your dashboards were never configured to catch. Dstl8 closes the gap by surfacing unknown behaviors in dev and staging, before they page you in production.

Cursor, Claude Code, and Copilot users
Shipping 5–10× faster than traditional development
Generating novel patterns pre-configured monitors miss
Catching emergent behaviors in dev and staging before prod

Teams deploying multiple times a day

Modern velocity outpaces manual monitor configuration — every deploy introduces behavior nobody wrote an alert for. Dstl8’s Möbius AI watches the system as it actually runs, not as it was configured to run.

Microservices with complex service-to-service interactions
Distributed systems with emergent behaviors
High deploy frequency outpacing runbook updates
Any environment where rate of change exceeds monitoring capacity
Gonzo logo (open-source log analysis TUI)
Gonzo quick start icon for real-time log analysis TUI
Gonzo in-terminal log analysis view (live charts and patterns)

Not ready for Dstl8?

Try Gonzo — our free, open-source log analysis TUI built by the ControlTheory team. Stream logs, surface patterns, and debug from your terminal in 60 seconds. When you’re ready for AI-powered root cause, OTel distillation, and team workflows, Dstl8 is waiting.

Real-Time Analysis
Interactive Dashboard
Advanced Filtering
AI-Powered Insights

Stop staring at dashboards.
Start shipping fixes with Dstl8.

Free 14-day trial. No credit card. 5-minute setup. Find what broke before your customers do.