Introducing Tidra: AI-powered code maintenance at scale

Your engineering team has a capacity problem hiding in plain sight. Today we’re launching the fix.

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Ask any VP of Engineering what their team should be working on. You’ll hear the same things: shipping product — or doing everything possible to make it faster to ship product.

Ask what their team is actually spending a bunch of time on? That’s a different list.

It’s maintenance. Dependency upgrades. Security patches. Library migrations. Config standardization. Infrastructure moves. Compliance documentation. The operational work nobody puts on a roadmap slide but everyone knows has to get done.

Engineering leaders call it KTLO — “keeping the lights on.” After a decade of working alongside more than 100 platform engineering teams, the pattern is remarkably consistent: this work quietly eats at least 20% of your team’s capacity — and sometimes as high as 50%. Every sprint, every quarter, every year.

If you have 300 engineers, that’s at least 60 people’s worth of output going to work that isn’t moving the business forward. Not because your team is inefficient. Because the work is genuinely necessary — and genuinely endless.

Today, we’re launching Tidra to change that.

The lose-lose that every engineering leader feels

You already know how this plays out. You spend weeks planning and negotiating maintenance work into the quarter plan. It takes longer than expected. Surprises pop up, usually because you deferred other maintenance work the quarter before. An incident hits. Before you know it, half the quarter went to keeping things running.

Meanwhile, your best engineers — the people you fought hardest to hire — are spending meaningful chunks of their time on repetitive, undifferentiated work. And they know it.

The real cost isn’t the hours. It’s the features you didn’t build. The experiments you didn’t run. The market window you missed because your team was busy upgrading Node from 20 to 22 across 300 services.

You can’t skip it. Skip dependency upgrades and your developers are stuck on outdated frameworks, shipping slower every quarter. Skip security patches and you’re one audit away from a fire drill. But do it all diligently and you’re burning massive capacity on work that will never show up in a product demo.

It’s a lose-lose. And the problem only gets worse. Systems get older and more complex. AI tools mean you’re writing more code than ever. New compliance frameworks arrive every year. The maintenance surface area only grows.

Why existing tools don’t solve this

You might be thinking: we already have tools for this. And you’re partly right.

Dependabot bumps version numbers. That’s the easy part. The hard part is every repo that uses the old API, the deprecated method, or the removed import, and needs actual code changes to compile again. That work, multiplied across hundreds of repos, is what turns a routine upgrade into a multi-month project.

Your developers use Copilot and Cursor for feature work. Keep using them. But dependency updates across 200 repos? Security patches org-wide? Framework migrations? Those tools don’t help. You’re back to spreadsheets, spending months on work that should take weeks.

And the tools that can create pull requests at scale? Most of them blast out PRs instantly. If half are wrong, you’ve created more work, not less. You’ve essentially spammed your engineering org with cleanup tasks disguised as automation.

The gap isn’t code generation. It’s the orchestration around it. Adapting changes to each repo’s reality. Reviewing before sharing. Tracking CI status and blockers across hundreds of PRs. Notifying teams. Coordinating to completion. That’s the part nobody has solved.

What Tidra does differently

Tidra is the first AI maintenance agent purpose-built to automate code maintenance at scale. Not just create PRs, but manage the entire lifecycle from definition to merge.

Here’s how it works:

Define the change once. Describe the initiative: upgrade a dependency, migrate a library, enforce a coding standard, standardize configs. Tidra’s agents analyze your codebase and build a plan.

The agent adapts to each repo. Your repos aren’t identical. npm vs. yarn. Different frameworks. Different build systems. Tidra analyzes repo structure, dependencies, framework patterns, build configs, your docs, and coding standards. It makes changes the way your team would — not generic templates applied blindly.

Review before you share. This matters more than people realize. Tidra lets you check the AI’s work first. Iterate. Provide feedback on the plan. Regenerate. Your teams see working pull requests, not first drafts. One of our customers put it well: it’s the difference between delegating and dumping.

Ship pull requests at scale. When you’re confident in the changes, Tidra creates PRs across all targeted repositories. Clear descriptions. CI-passing. Ready for your teams to review and merge as part of their normal workflow.

Track to completion. See CI status, PR comments, and merge progress across hundreds of PRs. Filter by blocked, passing, needs attention. Focus on exceptions instead of status-checking 200 PRs in GitHub. Follow-ups are built in.

This is the part that matters most and gets talked about least. Creating the PR is maybe 30% of the problem. The other 70% is coordination: knowing who has to work on it, what’s done, what’s stuck, and what needs a nudge. Tidra handles all of it.

What teams are seeing

We’ve been working with platform engineering teams who face this problem at serious scale. Hundreds of services, dozens of teams, maintenance backlogs that never seem to shrink.

One engineering manager told us their maintenance initiatives used to mean months of planning and competing with feature work across 30-plus teams. Now the agent does the work, and teams only verify and merge. Their last initiative closed nearly 500 pull requests that way.

A head of security engineering described saving at least 70% of the time needed for each PR, but said the real value is in the coordination. No more spreadsheets. No more manually chasing PRs. Everything visible in one place.

A staff SRE called it game-changing for cross-engineering initiatives that drag on when dozens of teams all need to prioritize the work. The maintenance agent lowers the barrier and closes the loop with merge-ready PRs.

The common thread across these teams: it’s not just about the time saved on individual PRs. It’s about initiatives that actually get finished, in days or weeks instead of months.

Built for the way platform teams actually work

Tidra isn’t another AI code assistant. It’s infrastructure for engineering leaders who need to run maintenance initiatives across an entire org without burning their team’s capacity.

We built Tidra because we’ve spent the last decade watching this problem compound. Every engineering org we’ve worked with, from growth-stage startups to public companies, fights the same battle. The maintenance work is necessary. There’s always more of it than you planned for. And it eats the capacity you need for the work that actually moves the business.

Every other category of engineering drudgery has eventually been automated away. Compilation, testing, deployment, infrastructure provisioning. All automated. Repetitive, large-scale code maintenance is next.

Get started

Tidra is available to try now. It includes enough credits to run a meaningful initiative. If your team is sitting on a maintenance backlog that never moves, it’s worth finding out what 200 reviewable PRs in an afternoon looks like for yours.