Specialist engagement
Engineering workflow systems.
Reduce delivery friction without lowering the bar. I design the environments, operating conventions and guardrails that let engineers move quickly and leave a trail another person can understand.
The work
Tools are implementation detail. Repeatability is the product.
For teams, this means safer AI adoption, faster incident handover and environments that new engineers can reproduce. For individuals, it means a workspace built around the work you actually do rather than somebody else's dotfiles.
- Team engagements
- Workflow audit, reference environment, guardrails, documentation and adoption support.
- Individual engagements
- Focused setup, workflow design and a maintainable configuration you own.
- Handover
- Source-controlled configuration, decision record, runbook and a verified rebuild path.
Demonstrations
Four small loops, recorded from synthetic fixtures.
These clips are intentionally silent and deterministic. Media loads only when requested; every demonstration includes a written equivalent and direct download.
AI-assisted delivery loop
A bounded discover, plan, change and verify loop with policy checks before a review packet is produced.
A bounded discover, plan, change and verify loop with policy checks before a review packet is produced.
Written walkthrough
- Load a synthetic brief and identify the explicit data guardrail.
- Queue contract, test and review checks before changing code.
- Apply a small simulated patch to implementation and test fixtures.
- Run deterministic unit, lint and policy checks.
- Produce a review packet for a human decision.
Designed outcome: AI accelerates the work without becoming the approval boundary.
Kubernetes incident response
A repeatable inspect, contain, change and verify sequence against a synthetic cluster fixture.
A repeatable inspect, contain, change and verify sequence against a synthetic cluster fixture.
Written walkthrough
- Inspect workloads in the synthetic storefront namespace.
- Identify the simulated API pod in CrashLoopBackOff.
- Read previous-container logs and locate the missing configuration.
- Review the fixture manifest diff before applying it.
- Confirm the simulated rollout returns both pods to Running.
Designed outcome: The responder follows evidence instead of improvising against production.
Vim and tmux delivery workspace
A focused edit, test and review loop that keeps the working set visible and keyboard-addressable.
A focused edit, test and review loop that keeps the working set visible and keyboard-addressable.
Written walkthrough
- Open a synthetic refactor workspace in a named tmux session.
- Place implementation and tests side by side in Vim.
- Make a bounded parser change and write both fixture files.
- Switch to the checks window and run deterministic tests.
- Return to the editor and inspect the compact diff summary.
Designed outcome: The terminal becomes a reliable workspace, not a collection of memorised tricks.
Reproducible environment bootstrap
A pinned, diagnostic-first workstation bootstrap using synthetic manifests and fixture paths.
A pinned, diagnostic-first workstation bootstrap using synthetic manifests and fixture paths.
Written walkthrough
- Read the pinned synthetic toolchain manifest.
- Verify platform support and manifest validity before installation.
- Simulate shell, editor and runtime setup.
- Dry-run configuration links and report conflicts before applying them.
- Run path, version and configuration diagnostics against a sample app.
Designed outcome: A new environment is explainable, repeatable and recoverable.
Start with the constraint
Bring the workflow that keeps breaking.
On the booking form, choose the area you want to improve. We will use the first call to decide whether this needs a team audit, a focused implementation or simply an honest answer.
Book a thirty-minute intro