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Agentic coding, with engineering judgement built in

We help companies adopt AI coding safely, build the harnesses that make agents genuinely productive, and give AI-built products the senior engineering scrutiny they need before real users arrive.

What we do

From first AI pilot to production-grade agentic development

AI coding agents have changed what a software team can do — but only for the teams that adopt them properly. We work with agentic tools every day, on our own products and our clients’, so our advice comes from production experience rather than conference slides.

For companies adopting AI coding, we act as consultants: choosing tooling, setting guardrails, defining review workflows and measuring whether the investment is actually paying off. For teams going deeper, we build AI harnesses — the scaffolding of prompts, tools, tests and feedback loops that turns a raw model into a dependable member of your delivery pipeline.

And for founders who have vibe-coded a product — built something real with AI assistance and now need to know whether it will survive contact with users — we act as your solution architect. We validate code quality, fix the bugs the model left behind, restructure for scale, and security-test against the OWASP Top 10 before your launch does the testing for you.

AI made building software faster. It did not make engineering judgement optional. We supply the judgement.

Capabilities

Agentic coding capabilities

  • AI adoption consultancy

    Tool selection, workflow design, guardrails and rollout plans for engineering teams adopting AI coding — grounded in daily hands-on use, not theory.

  • AI harness development

    Bespoke harnesses — prompts, tools, evaluations and feedback loops — that turn coding agents into reliable parts of your delivery pipeline.

  • Code review for AI-built products

    A senior solution architect reads what the model wrote — structure, correctness, maintainability — and gives you honest advice on what to keep.

  • Security testing

    Assessment against the OWASP Top 10 and beyond — injection, broken authentication, exposed secrets and the other classics AI-generated code loves to reintroduce.

  • Scaling & architecture

    Restructuring AI-built applications so they survive growth — databases, queues, caching and deployment, done properly.

  • Bug fixing & rescue

    When the agent has painted your codebase into a corner, we untangle it — and leave tests behind so it stays untangled.

Why Silverark

Why Silverark for agentic coding

01

Practitioners, not commentators

We ship production software with AI coding agents every working day — on our own products and our clients'. The advice comes from use, not slide decks.

02

Eighteen years of engineering judgement

We have built and operated serious systems since 2008. We know what production-grade looks like, so we can tell you honestly whether AI-built code measures up.

03

We build harnesses, not hype

Our AI harnesses are working systems — prompts, tools, tests and feedback loops running in real delivery pipelines — not proof-of-concept demos.

04

Straight answers

If your AI-built product is closer to launch-ready than you feared, we will say so. If it has problems, you will get a plain-English list and a plan.

Training

Learn agentic coding at the Agentic Academy

Our training programme teaches developers and teams how to get real results from AI coding agents — the workflows, harnesses and habits we use in production every day.

Visit the Agentic Academy

FAQ

Agentic coding — common questions

What is agentic coding?
Software development where AI agents — not just autocomplete — plan, write, test and revise code under an engineer’s direction. Done well, it is a serious productivity multiplier. Done badly, it produces convincing-looking code with real problems underneath. We help with both halves: the doing-it-well and the finding-the-problems.
I built my product with AI. Can you check it is safe to launch?
Yes — this is one of our most requested services. A senior engineer reviews the architecture and code quality, security-tests it against the OWASP Top 10, fixes what needs fixing, and gives you a plain-English readiness report — before your users do the testing for you.
How do you help established teams adopt AI coding?
We start with how your team works today, then introduce tooling, guardrails and review workflows that fit — and we measure the results, so you know whether the investment is paying off rather than taking it on faith.
What is an AI harness?
The scaffolding around a model that makes it dependable: structured prompts, tool access, automated tests and feedback loops. The model provides capability; the harness provides reliability. We design and build harnesses tailored to client codebases and pipelines.
Do you offer training?
Yes — through the Agentic Academy, our structured programme for developers and teams who want to master working with AI coding agents.

Ready to make AI coding actually work?

Whether you are adopting agents, building a harness, or holding an AI-built product that needs a professional eye — start with a conversation.