Darkplane
Build with AI. Ship with confidence.
AI authors more of your codebase every week, and ships it faster than anyone can watch it run. Darkplane is the control room for your AI software factory. See what your coding agents produce, what that spend actually bought, and whether it holds up in production.
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Trusted by engineering teams at
You shipped 2× the code.
The throughput numbers look like a clean win. The same teams tell a second story underneath.
The win, what leadership sees
The strain, the same teams, same period
Faros AI Engineering Report 2026 · 22,000 developers · 4,000 teams. Corroborated by Veracode and Harness.
See the factory. Close the loop.
From spend to production truth, the full picture of what your AI software factory builds and how it holds up.
Finally, the factory floor in view.
Darkplane measures the cost, adoption, and productivity of AI coding across your org, and ties every dollar of spend to the exact pull requests it produced. Stop guessing what the token bill bought, show leadership the ledger, per tool and per team.
See which reviews are real.
Every pull request gets an approval. Far fewer get a review. Darkplane shows how your engineers and your coding agents actually review code, what your review tools catch, and where the rubber-stamps are hiding.
Once you can see which changes are already being waved through, you can let AutoMerge clear the safe ones on purpose.
Clear the rubber-stamps. Save your eyes for what matters.
Your coding agents open more PRs than any human can approve. AutoMerge is an approval agent: it auto-merges the safe, low-stakes changes you would wave through, so human attention lands only where it changes the outcome.
Not a reviewer, an approver. Review stays with CodeRabbit, Bugbot, and your engineers. AutoMerge reads those signals and merges what is safe.
Just an MCP server doesn't cut it.
An MCP to your logs, metrics, and traces hands an agent raw data, not information it can act on day to day. The Context Graph is the live map that turns one into the other, linking your code, services, APIs, dependencies, and owners to how that code actually behaves in production.
Your coding agents, your review tools, and Darkplane itself work from how things really run, not just how they were written. The layer that powers the rest of this page: grounded coding agents, the production-truth correlation, and the changes AutoMerge can trust.
Reads the tools your engineers already use.
Usage, cost, and output, pulled from where your team already works. Nothing to re-enter, nothing to re-route.
Claude Code
Usage, cost, and output across your org. See exactly what every token bought.
Install the plugin →Cursor
Usage, cost, and output across your org. Per team and per tool breakdowns.
Install the plugin →OpenTelemetry-native
Open standards, so the data is yours and portable. No lock-in.
And more
Additional coding tools and source-control connectors on the way.
Go deeper.
From OpenTelemetry-Native to Observability for the AI Era
How Dash0 is evolving for a world where agents write, ship, and operate software, and what that means for the platform.
The AI Engineering Report 2026
22,000 developers, 4,000 teams, 2 years of data. What AI coding actually does to throughput, and to incidents.
Measuring the ROI of AI Coding Tools
Why token spend alone is not the number, and how to build the investment ledger your finance team will believe.
Not how much your AI can ship. What you let it ship.
Your throughput is already up. So are your incidents, your review queue, and your lead time. Move the fix upstream, where the code is written.