Evidence-based PR automation, governed by policies — on Kubernetes.
Ship faster with trusted automation: reviews, vulnerability fixes, and dependency upgrades as reviewable PRs/MRs.
Aiprogramist League is a Kubernetes-first AI engineering suite: Mission Control plus three hero modules that produce reviewable PRs with verification evidence.
3 pains buyers instantly recognize
Aiprogramist League turns recurring engineering toil into verified, reviewable PRs — with governance and auditability.
PR/MR review storm
Review queues slow delivery and standards drift.
- Time-to-first-review grows
- Feedback consistency drops
- Maintainers burn out
Security leak
Findings pile up and repetitive remediation steals time.
- Backlog increases
- Risk stays open longer
- Fixes are hard to verify
Dependency drift
Upgrades get postponed until they become emergencies.
- Delayed updates compound risk
- Breakages happen at the worst time
- Fire drills replace cadence
What makes it different
Evidence-based PRs (not magic)
Every automated outcome is accompanied by commands run, logs captured, tests/build results, and a bounded diff.
Governed autonomy
Choose autonomy level per repo: comment-only → open PR/MR → propose patch → push commit (explicitly enabled).
One suite, shared control plane
Shared integrations, shared policies, shared audit logs, Kubernetes-first deployment model.
The League roster
One product, delivered as a package — a hub plus hero modules.
Mission Control
You hold the keys. Mission Control gives you superpowers.
- Plan → change code → run checks → open PR/MR
- Approval gates and policies
- Evidence capture and audit trail
ReviMan
Reviews with standards. Every PR. Every time.
- Correctness, edge cases, maintainability
- Optional suggested diffs/patches
- Conventions enforcement
Healer
Stops the leak before the lab sinks.
- Turns findings into minimal remediation PRs
- Verification evidence included
- Prioritization support
Upgrador
Upgrades without drama.
- Automated upgrade PRs with CI validation
- Grouped updates + changelog summaries
- Cadence and policy per repo
How it works
1) Connect your Git provider
GitLab first (gitlab.com + self-managed). GitHub second.
2) Trigger
Run on demand via comment or on a schedule.
3) Run (controlled execution)
SaaS or self-hosted on your Kubernetes (including Kyma).
4) Deliver
A PR/MR with evidence, bounded diffs, and audit trail.
Next step
Want to see it on your codebase? Let’s walk through workflows and deployment.