Helping agents ship code you trust to prod

Give your coding agents observability superpowers.

Connect your repos · No credit card required.

bluebox

works where you work

How Bluebox works

Gives your agents
eyes into prod

Scans your repo automaticallyDiscovers every service, database, and external dependency.
Guides OTel instrumentationAuto-generates OTel config and walks you through setup.
Reads your live services topologyPulls your live dependency graph: hosts, services, clusters, so your agent reasons in context, not in isolation.
Links production directly to your coding agentYour agent gets real runtime context before it writes a single line.

Briefs your agents
before building

Plan before you promptHave Bluebox think upfront so your agent executes instead of exploring.
Make your agents more effectiveBetter context means fewer iterations with less reasoning, even with smaller models.
Less reprompting, better outcomesBluebox briefs your agent upfront so it executes instead of exploring.
Know before you shipFull context before you build. Your agent executes against the runtime environment you're building for.

Finds issues before
they're issues

Monitors production signals continuouslyLatency, error rates, SLOs – all watched, all the time.
Surfaces incidents the moment they appearNo alert fatigue, only the signal that actually matters.
Investigates with full runtime contextTraces, logs, topology, and live code, correlated automatically.
Detects root-cause in your codeNot just infrastructure noise. The actual commit and code path that caused it.

Hands your agent a fix plan
as a GitHub Issue

Evidence-backed GitHub Issue, ready to act onThe trace, the offending lines, the blast radius: everything your agent needs to fix it.
Blast radius before you deployKnow exactly what's at risk. No surprises after you release.
You decide what happens nextHand it to your agent, fix it yourself, or close it. Bluebox never acts without your call.
Bluebox confirms the fix heldPost-deploy monitoring verifies the incident is closed, with data, not optimism.

Trusted and Open Standard

Trusted

Dynatrace powered insights

Causal AI under the hood. Not pattern-matching, not guesswork. Real root cause, every time.

GitHub native

GitHub Issues as output

Every fix lands as a GitHub Issue with all the context your agent or you needs to act. No new tools to learn.

Open standard

Built on OpenTelemetry

No vendor lock-in. Works with your existing OTel setup, or guides you through setting one up.

Built for developers who ship with coding agents

You're moving fast. Bluebox is the missing production observability layer. It checks what your agent can't see, so you can merge with confidence.

Don't take our word for it. Try it for free.

Connect your repos. Tell your agent. No credit card required.

Check out our latest blog articles

Investigation with context and confidence

Why would you need Bluebox to run an investigation? In theory, your application is always working perfectly in the production environment. While in practice, it is not. One night at 2AM, your application ran into issues, and you got paged for an overnight incident troubleshooting call. Despite its mighty power to create source code, your coding agent cannot help because it lacks insight into your product environment. That’s the moment you turn to Bluebox AI for help. That’s the moment you need

Bo Jia 4 min read 14 Sept 2026

quick start

Get Started with Bluebox in a Single Coffee Break

If you've ever shipped a feature and held your breath waiting to see what broke in production or spent hours re-prompting your coding agent just to get a feature right, Bluebox is for you. Bluebox connects to your production telemetry and your GitHub repository, watches your runtime services continuously, and when something goes wrong, it investigates automatically: tracing the problem to its root cause and handing your coding agent an evidence-backed fix plan. No manual log searches. No tran

Jason Ostroski 7 min read 08 Sept 2026

Use Case

Beyond "It Works on My Machine"

Coding agents are genuinely good at understanding a local codebase. Point one at a repository and it can read the architecture, trace the data flow, interpret configuration, and reason about what the code is supposed to do. But code doesn’t run in a repository. It runs in production, where traffic is real, services call each other under load, and the gap between "what the code says" and "what the system does" is exactly where incidents get introduced. An agent working only from the repository

Michael Beemer 7 min read 02 Sept 2026

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