Enji GuardKeep maintenance work moving with less effort
Most teams ship features and postpone maintenance until something breaks. Guard runs recurring audits and opens reviewable fixes that keep a codebase healthier, on your terms.
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01
Software rots when nobody is paid to tend it
Dependencies fall behind, tests stop reflecting reality, dead code piles up, and small risks compound. None of it is urgent until it is, and by then the cleanup is a project instead of a pull request.
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What Guard keeps maintained
Recurring audits watch the slow-moving risks so they never become incidents:
- Dependencies drifting out of date or out of support
- Tests that quietly stopped proving anything
- Dead code and duplication accumulating in the corners
- Lockfile and version mismatches
- New AI technical debt landing with every fast commit
03
It runs while you ship
Guard watches slow-moving risks on your cadence and turns automated code maintenance into reviewable GitHub issues or pull requests, so your team spends less effort finding the next valuable step.
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Autonomous, but never unattended
For risky code changes, zero-touch maintenance still needs a review trail. Guard proposes; you decide. Fixes arrive as reviewable pull requests with evidence, and nothing changes your code until your team merges it.
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Built for small teams and solo founders
If you do not have a platform team to own upkeep, Guard is the closest thing to one, the recurring maintenance and code health checks that keep a codebase shippable as it grows.
Quick questions
Is this just sustaining engineering, keeping the lights on?
It is the automated version of it. The KTLO work, dependency updates, dead code, decaying tests, still needs doing. Guard handles the finding-and-proposing part so a small team does not have to staff it full-time.
We have no platform or maintenance team. Is this for us?
That is exactly the case it is built for. Guard acts as the upkeep a platform team would own, turning slow-moving risk into reviewable issues and pull requests before it becomes an incident.
What can it safely handle without supervision?
Bounded, low-risk work: small security fixes, missing tests, agent-doc updates, frontend-performance fixes, or narrow dependency-security changes when the evidence is clear. Riskier work is proposed as an issue for a human to decide, never merged on its own.
How is this different from an automated dependency-update bot?
An update bot bumps versions. Guard looks at the whole maintenance surface, tests, dead code, drift, and security, not just dependencies, and brings verification so an update is more than a green lockfile.
Keep software healthier with less maintenance effort.
Connect a repo and get your first maintenance report in a few minutes. No card.