Introducing OpsLevel AI: Finding Your Lost Engineering Knowledge

Over the last couple of years, there’s been a tremendous amount of research and investment in training and building larger and more powerful language models.  These foundation models are highly sophisticated and excel at summarization, distilling massive amounts of information into manageable insights.  As well, large language models (LLMs) are excellent at tasks like content generation, pattern recognition, complex query answering, and creative problem-solving.

As a technology, they’ve surfaced into popular productivity tools like ChatGPT and Copilot, proving incredibly useful for tackling problems based on synthesizing mountains-of-data.

Turns out, engineering teams have a similar mountain-of-data problem.

Modern software engineering moves fast, but knowledge often lags behind.  Crucial details are scattered across Slack threads, git repos, Jira comments from three quarters ago, API docs that might be outdated (but who knows?), and monitoring dashboards that aren’t entirely sure what they’re tracking.

All of this fragmentation leads to engineers wasting time asking questions like:

• Who even owns this service?
• What exactly does it do?
• Wait, what does it depend on again?

Each unanswered question slows your team down, turning agile development into sluggish detective work.

We’ve been heads down over the last little while finding ways of harnessing these cutting-edge foundation models to uniquely solve these exact engineering challenges.

Today, I’m very excited by what we've built with OpsLevel AI.

OpsLevel AI takes all that scattered, stale engineering knowledge and rebuilds it into something fresh, reliable, and instantly useful.  It's not magic (it’s math!), but it sure feels like magic sometimes.

Here’s how it does its thing:

AI-Powered Catalog Engine: Find (and fix) what's missing

Discovering Hidden Services

Engineering orgs are notoriously bad at keeping track of all their services, especially the ones no one registered properly.  OpsLevel AI continuously scans your codebases, infrastructure, and tooling to auto-discover and catalog services, ensuring nothing slips through the cracks.

Taming Name Chaos

Your service might be called payment-processor in GitHub, pay-proc-prod in Datadog, and payment_gateway_service somewhere deep in your API config.  OpsLevel AI automatically figures out these aliases and creates a single source of truth, removing the guessing games.

Automated Ownership Resolution

Ever had a Slack thread spiral into confusion about who should fix an urgent issue? OpsLevel AI analyzes your commit history and suggests likely owners based on actual code activity. Problems get routed faster, leaving more time for meaningful work.

Summarizing Your Docs (So You Don’t Have To)

Keeping documentation up-to-date feels like a never-ending chore.  OpsLevel AI automatically pulls from your READMEs, API docs, and wikis to create structured, concise summaries of each service.  Docs stay accurate without draining anyone's time.

Filling in Knowledge Gaps (Before You Even Notice Them)

Manual documentation always has gaps.  Services evolve, people leave, and critical context disappears. OpsLevel AI enriches your service catalog with information on dependencies, historical changes, and missing metadata, giving your engineers the full picture without any detective work.

Coding Assistants That Actually Understand Your Stack

We're embedding OpsLevel directly into IDEs and coding tools.  Your developers will have instant access to real-time context about services, dependencies, and production standards right in their coding environment.  Instead of hunting down information or interrupting senior team members, everyone on your eng team can act as a senior engineer and make informed decisions from the start.  The result is fewer mistakes, smoother code reviews, and significantly faster shipping.

That's how you scale expertise, without burning out your best engineers.

Built with Your Security and Privacy in Mind

We appreciate that not every team wants AI touching everything.  That's why OpsLevel AI comes with granular controls, letting you turn on exactly the features you're comfortable with and nothing you aren't.  Decide what you want to open up to your team and what you'd rather keep under wraps.

Engineering teams move fast, but their knowledge rarely keeps pace. OpsLevel AI ensures that scaling doesn’t mean losing critical context.  Less confusion, fewer incidents, less toil.

Though I’m incredibly proud of today’s launch, we’re at the start of a journey to tap the power of AI within OpsLevel.  If you want to learn more about what we have in the works, please book some time with our team.

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