AI-Driven Project Management: Introducing MCP-Vikunja
How mcp-vikunja connects AI coding agents to self-hosted task infrastructure, enabling structured and state-aware project execution beyond prompt-response loops.
AI-Native Systems. Built to Run.
Cn3m0 Weaver Tech provides AI-native full-stack systems engineering for B2B teams: web platforms, backend automation, Linux/cloud infrastructure, and edge/network devices. AI is part of the working method, not an add-on: analysis, implementation, documentation, and automation are accelerated with AI while human ownership and security guardrails stay explicit.
Tech Papers
Deep dives, architecture notes, and practical walkthroughs across DevOps, cloud, and AI-enabled operations.
Reference Utility: Gmail Filter Rules
A compact YAML-driven filter utility for repeatable inbox workflows across cron jobs and skill hooks.
Why teams hire us
- Direct senior engineering: Analysis, architecture, implementation, and documentation stay close to decision-making with minimal overhead.
- AI-native delivery: AI is used throughout analysis, coding, documentation, review, and automation, with human responsibility for architecture, risk, and production decisions.
- Full-stack systems range: Web/CMS experience, backend tooling, Linux servers, cloud platforms, OpenWrt-class networks, and ESP32-class edge devices can be connected end to end.
- Playbook-backed platform automation: CI/CD, IaC, Kubernetes, and Observability patterns are standardized for repeatable operations.
- Cloud efficiency with resilience: Hybrid/multi-cloud decisions include cost control and reliability guardrails from day one.
- Practical AI for operations: Anomaly detection, incident support, and runbook acceleration are applied where they measurably reduce toil.
- Security as sidecar: Access, secrets, and policy checks are embedded without turning projects into compliance theater.
Service Packages
Built for focused B2B project engagements. Clear scope, clear timeline, clear deliverables. Indicative pricing is shown for orientation; final scope is fixed after discovery. Our service structure follows concrete capability areas documented in Insights: web platform modernization, backend automation, AI-assisted engineering workflows, CI/CD, IaC governance, Kubernetes/Linux operations, observability, edge/network integration, and cloud cost strategy.
- DevOps Stability Sprint (2 weeks · from EUR 4,500)
CI/CD bottlenecks identified and prioritized, with quick wins implemented and documented. - Cloud Platform Foundation (4-6 weeks · from EUR 8,500)
IaC baseline, deployment architecture, observability, and integrated security sidecar controls. - AI-Native Engineering Enablement (2-4 weeks · from EUR 5,500)
Practical AI workflows for analysis, implementation support, incident handling, runbook generation, and quality checks with guardrails. - Custom Projects & Retainers (from EUR 2,000/month)
Ongoing support for teams needing continuity in DevOps, cloud platform work, and AI-assisted delivery.
How we work
- Direct senior engineering: Work happens close to decision-making with minimal overhead.
- Diagnostic first: We start with constraints, current risks, and delivery pain points before changing tooling.
- Implementation + transfer: Each project includes documentation, runbooks, and handover notes so your team can operate independently.
- Remote-first and structured: Async-friendly collaboration, explicit decisions, and transparent milestones.
Engagement flow
- Intake & Assessment — Stack review, risk map, and success criteria aligned to your timeline.
- Architecture & Plan — Concrete scope, delivery sequence, and accountability model.
- Build & Stabilize — Execution with frequent checkpoints and measurable progress.
- Handover & Next Steps — Documentation, operating rhythm, and a realistic roadmap.
Start with a focused intake
See the dedicated Contact page for intake details and next steps.