Agentic Engineering Bootstrap
We build an AI-augmented DevOps pipeline together with your engineering team — multi-repo orchestration, LLM advisory layer and optional autonomous phase chaining. And we hand it over so your platform team extends it on its own.
Request the Bootstrap
Dr. Andreas Martens Founder qurix Technology · guides the Bootstrap personally
We build with your team — not in parallel.
The pattern we see again and again at established engineering organisations: GitHub-based CI/CD is running, multiple repositories are in production, a platform engineering team owns platform and standards. And yet bootstrapping a new app takes three to five days. Code reviews are the bottleneck. Knowledge of conventions and templates lives in individual heads, not in code.
The leverage isn't in swapping the toolchain — it's in a thin orchestration layer plus an LLM advisory layer that assists in PR review, consistency validation and error diagnostics. Both embedded in your existing GitHub organisation. No additional tooling, no vendor lock-in, no re-platforming project.
Over six to fourteen weeks we build a deterministic pipeline with AI augmentation that your platform engineering team can extend on its own — with architecture documentation, template extension guide and a half-day onboarding workshop at the end.
What you have at the end.
Four concrete outcomes — in your GitHub org, in your hands. No black box, no ongoing dependency on us.
- 1. Multi-repo orchestrator A central GitHub repository with workflows, Jinja2 templates and phase-based dependency management. Bootstrap time for new apps drops from 3–5 days to a few hours — under one hour with the autonomy upgrade.
- 2. LLM advisory layer Embedded in your GitHub Actions: PR review summaries, consistency checks, error diagnostics, phase pre-flight validation. Read-only, never merge-mutating — your engineers stay in control.
- 3. Optional: autonomy upgrade Event-driven phase chaining via repository_dispatch, LLM-powered auto-review and auto-merge with veto window, autonomous error recovery for standard failure modes (naming collisions, Terraform plan failures, merge conflicts).
- 4. Documentation + team enablement Architecture documentation, setup guide, template extension guide, troubleshooting guide — plus a half-day onboarding workshop. Your team can extend templates and add new phases from day one after handover.
How we work.
We build engineering infrastructure, not demos. That has five consequences for how we work:
- Deterministic first, AI augmented. GitHub Actions + Jinja2 templates form the deterministic foundation. The LLM is advisory, not autonomous in production-critical paths — no hallucination risk in the build pipeline.
- Embedded, not parallel. We work inside your existing GitHub org, with your conventions, your permissions and your audit trail. No separate platform, no sandbox theatre.
- Three structured pilot runs. Controlled (line-by-line validation by us), realistic (a platform engineer on your team runs it), stress (edge-case inputs). Only then handover.
- Dry-run mode + audit trail. Every generated diff across all target repos is visible before any PR is created. Fully auditable, fully rollback-able.
- Co-lead. Dr. Andreas Martens (architecture + stakeholder dialogue) plus a senior engineer from the qurix team (technical execution, template engineering, GitHub Actions expertise).
Who it's for — and how we start.
The engagement is deliberately narrow. It doesn't fit every engineering setup — and that's by design. Two filters:
Ideal starting position
- Established engineering team (10+ engineers), GitHub-based workflow
- Multi-repo structure with noticeable bootstrap friction (days, not hours, per new app or component)
- Engineering leadership ready to integrate LLM advisory into PR reviews and CI/CD
- Investment horizon €30–70k for the next ~3 months
- Willingness to provide an LLM API key (Anthropic Claude recommended) as a GitHub Actions secret
Format & upgrade path
- 6–14 week engagement, Time & Material
- Step by step: Foundation (6–8 weeks): orchestrator + templates + LLM advisory
- Optional Full Autonomy upgrade (+4–6 weeks): event-driven chaining + auto-merge with veto + autonomous error recovery
- Optional add-on: GitHub Copilot Extension for conversational UX (+5–7 PD)
- Weekly status call · PR-based collaboration · joint pilot sessions
Sounds like your situation?
30 minutes with Andreas. No sales mode. We listen, look at your GitHub setup logic, and tell you honestly whether the Bootstrap fits — and which stage.
Request a call