Digital Power Tools

Operationalizing “Vibe‑Coded” Projects (Prototype to Production)

Have a promising LLM‑assisted prototype that isn’t production‑ready yet? I turn PoCs and hackathon code into maintainable, secure, observable services with a clear path to deploy.

Who it’s for

This engagement is for teams and founders sitting on an LLM‑assisted prototype or proof‑of‑concept that works locally but isn’t yet safe to ship. If you need a reliable path from a compelling demo to a robust 1.0 release—without surprises in security, reliability, or operability—this is for you.

Good fit indicators

This is a strong fit if you have a valuable prototype with an unclear deployment path, minimal testing, and little to no observability, or if you have unresolved security concerns you want addressed before launch.

What you get

You get a production‑grade hardening pass that cleans up boundaries and interfaces, locks down secrets and configuration, and brings your app in line with 12‑factor principles. I put observability in place—logs, metrics, and traces with meaningful dashboards—so issues are visible and actionable. Finally, you’ll have CI/CD that produces reproducible builds, deployable images, versioned releases, and supply‑chain visibility (SBOMs and scanning) so you can ship with confidence.

Typical activities

We begin with an architecture and dependency audit, including a lightweight threat model and a look at data‑flows and PII. I stabilize fragile or auto‑generated code, put in place the right level of testing (unit, integration, and smoke) with sensible coverage baselines, and establish a performance baseline to capture quick wins through profiling, caching, and concurrency where appropriate. Along the way we set operability standards—SLOs, error budgets, runbooks, and safe rollback/DR paths—so your team can run the service with confidence.

Deliverables

You’ll receive a target‑state architecture outline with any key ADRs and the associated threat model, along with working CI/CD pipelines that build, test, scan, and release your service. We’ll stand up the initial infrastructure as code scaffolding and environments, provide dashboards and alerts with SLOs and runbooks, and leave you with a test scaffold, a coverage report, and a v1.0 production release complete with a changelog.

Timeline

3–6 weeks depending on complexity.

Pricing models

Engagements are available as a fixed‑fee package for prototype hardening or on a time‑and‑materials basis if you prefer flexibility. Many clients add a light post‑launch retainer to cover the first months in production while usage patterns settle.

Outcomes/KPIs

Typical outcomes include a path to production in 4–6 weeks, automated tests on every PR, and deploy lead times under 30 minutes. We target baseline SLOs such as 99.9% API availability with actionable, low‑noise alerts, and routinely see P50/P95 latency improvements in the 20–50% range.

How engagements run

We start with discovery to align on outcomes and get access to code, infrastructure, and metrics, then move into a structured assessment with a prioritized roadmap and ROI estimates. Implementation happens in short, visible sprints with weekly demos and written updates. We close with handover and enablement—docs, runbooks, and training—plus a stabilization period or optional retainer if you prefer continued support.