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Velocity Labs

Services

Everything a team needs to make AI deliver.

Buying a coding assistant is the easy part. Getting real, lasting value from it takes skills, process, and platform. We work across all three, and we start wherever the biggest constraint is.

01 · Educate

Workshops & team enablement

AI tooling moves faster than any team can keep up with on the side. We bring teams up to speed with practical, hands-on sessions, adapted to the languages, frameworks, tools, and processes they actually work with.

  • From tools to technique. Engineers learn how to plan, prompt, review, and ship with AI agents effectively, including where to push and where to stay in control.

  • Adapted to your stack. Sessions run on a sample project set up for your languages, frameworks, and toolchain, so the patterns transfer directly to the work teams do every day.

  • Aligned with where you are heading. We fold in the standards and target technologies your teams are migrating toward, so engineers practise the way they want to work next, and see how AI accelerates getting there.

  • Confident reviewers. Teams learn to read, test, and trust AI-written changes, so quality holds up rather than slips as output increases.

02 · Analyse

Process & workflow review

Most teams bolt AI onto a process designed for humans typing every line. We look at how work really moves, from ticket to production, and redesign the parts that hold AI back.

  • An honest assessment. We map planning, review, testing, and release flow, and show clearly where AI helps today and where it is being held back.

  • A workflow agents can use. Issues, specs, and reviews structured so an agent can pick up a task, do it well, and hand back something a human can trust quickly.

  • Guardrails, not handbrakes. Quality gates, review policy, and audit trails that let teams move fast without shipping changes nobody understands.

03 · Restructure

Platform engineering for AI

Getting the most out of AI is a platform problem. Agents need somewhere safe to run, context to work from, and review they can be held to. We help build that on the stack a team already has.

  • Safe places to run. Isolated, reproducible environments where agents can build and test without risk to production or to each other.

  • Context that compounds. A maintained knowledge base of conventions and decisions, so every agent starts from the team's hard-won standards rather than from zero.

  • Orchestration that fits. Agents wired into the issue tracker and CI a team already uses, so AI work shows up where people already work, built on open tooling we actively contribute to.

Questions

Common questions.

Who do you typically work with?

Engineering teams and the leaders responsible for them: from scale-ups standardising how they build, to established organisations modernising how a larger engineering function works. If your team writes software and wants AI to make that materially better, we can help.

Do we need to adopt a specific tool or vendor?

No. We build on open technologies and stay vendor agnostic. We work with the coding assistants, CI, and issue trackers a team already uses, favour open source wherever it fits, and recommend changes based on your context rather than any partnership or resale arrangement.

How long is a typical engagement?

It depends on scope. A focused workshop can be a few days. A process review and platform engagement usually runs over several weeks, with a clear assessment up front so you know what you are committing to before the larger work begins.

Will AI lower the quality of our code?

It does not have to, and that is much of the point. Done well, AI raises quality: more tests, faster review cycles, and consistent application of agreed standards. Done badly, it ships changes nobody understands. The difference is process and guardrails, which is exactly what we help put in place.

What is Smithy?

Smithy is our open-source orchestrator for AI-assisted development. It runs coding agents through your issue tracker with proper planning, review, and a maintained knowledge base. We do not require you to use it, but it reflects how we think AI should fit into a real team, and we draw on that experience in every engagement.

Not sure where to start?

That is exactly what the first conversation is for. Tell us about your team and we will point you at the highest-leverage place to begin.