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AI-Accelerated Software Engineering & Team Enablement

Agentic Development Consultancy

Coding agents have changed the economics of building software. We help engineering teams adopt GitHub Copilot, Claude Code and agentic workflows with the guardrails, review discipline and measurement that turn faster into better.

How software gets built now

What is agentic development?

Agentic development is software engineering where AI agents do real work: writing code, generating tests, reviewing pull requests, producing documentation and burning down backlogs, with engineers directing and reviewing rather than typing every line. The tooling is no longer the hard part. GitHub Copilot and Claude Code are mature, and the gap between teams getting compounding gains and teams getting expensive autocomplete is adoption discipline.

That discipline is what we deliver. We introduce coding agents into your software development lifecycle deliberately: a measured productivity baseline before anything changes, review gates and security boundaries agreed with your engineering leads, a clear position on licensing and IP, and agent workflows designed around your stack and your CI pipeline rather than bolted on beside it. We build our own products this way every day, so the patterns we bring have been tested on our own codebases first.

Enablement is the product, not an afterthought. Agentic engineering bootcamps run from two to five days and finish with your engineers shipping working, agent-built changes in your own environment, not a certificate of attendance. Then our engineers pair inside your teams on real deliveries and step back as capability transfers. We put the transfer in the statement of work, because a consultancy your engineers still depend on a year later has failed at this.

We work across the coding agent landscape rather than betting your delivery on one vendor: GitHub Copilot inside the Microsoft estate most of our clients already run, Claude Code as a registered Anthropic partner, and OpenAI Codex, Google Antigravity, Replit and Lovable where their strengths fit, from agentic IDEs to rapid prototyping. Which tools fit depends on your codebase, your security posture and how your teams work, and that assessment is the first thing we do.

Two near neighbours worth separating. If you want AI agents running inside business workflows rather than building software, see AI agents and multi-agent systems. If you are rolling out Microsoft Copilot to the wider workforce, see our Microsoft Copilot consultancy. This page is about how your software gets built.

Logos of coding agent tools

Delivered with GitHub Copilot and Claude Code

Digital & App Innovation on Azure
Digital & App Innovation on Azure
Data & AI on Azure
Data & AI on Azure
Microsoft Solutions Partner
Microsoft Solutions Partner
What We Deliver

Agentic development capabilities

Coding Agent Adoption

Introduce GitHub Copilot and Claude Code into your engineering organisation with the discipline that separates compounding gains from novelty: baselines first, then rollout by squad with results you can defend to the board.

  • Tooling assessment across GitHub Copilot, Claude Code and coding agents
  • Productivity baselines before rollout, so gains are measured, not claimed
  • Squad-by-squad rollout with retrospectives that tune the approach
  • Licensing, cost and IP posture agreed up front

Agentic SDLC Design

Redesign the development lifecycle around what agents do well: test generation, code review assistance, documentation, migration work and CI integration, with engineers owning judgement and architecture.

  • Agents in CI: test generation, review assistance and static analysis triage
  • Prompt and context engineering standards for your codebase
  • Repository conventions that make agents productive: docs, structure, tooling
  • Workflow design for agent-assisted code review and pairing

Guardrails and Governance for Coding Agents

Move fast without waking up security. We define the boundaries that let agents work safely inside your estate, so review discipline scales with output rather than eroding under it.

  • Secrets, credentials and data boundaries for agent contexts
  • Review gates: nothing agent-written merges unreviewed
  • Dependency and licence scanning wired into agent workflows
  • Audit trails for what agents changed, where and why

Agentic Engineering Bootcamps

Two to five days for software engineers: reasoning loops, tool design, evaluation, tracing and guardrails. Teams leave with working, agent-built changes in your environment, not a certificate of attendance.

Embedded Mentoring and Measured Baselines

Our engineers pair inside your delivery teams on real work, then step back as capability transfers. Progress is tracked against the baseline we set on day one, so you know what changed and what it was worth.

By the Numbers

Proven enterprise delivery

0

Microsoft certifications across the team

0

Microsoft MVPs on staff

0

Client retention across our engagements

0

Longest bootcamp: engineers leave building, not watching

2-5

Days per bootcamp, ending with agent-built changes shipped in your environment

100%

Engagements with capability transfer written into the statement of work

0

Rollouts without review gates and security boundaries agreed first

Day 1

When your productivity baseline is set, so gains are measured, not claimed

Common Use Cases

Where agentic development pays off first

Legacy Modernisation

Coding agents read and explain legacy code faster than any onboarding document, making modernisation and migration work that was never economical suddenly viable.

Test Coverage Uplift

Generate meaningful test suites for code that never had them, with engineers reviewing intent rather than writing boilerplate, turning coverage debt into a sprint of work instead of a quarter.

Documentation and Code Comprehension

Keep documentation current and let new joiners interrogate the codebase conversationally, cutting time-to-first-commit for every engineer you hire after.

Internal Tooling at Agent Speed

The internal tools your teams always wanted but could never prioritise become afternoon projects: admin panels, data utilities, integrations and automations.

Platform and DevOps Automation

Apply agents to infrastructure code, pipeline maintenance and incident tooling, where repetitive work is abundant and the feedback loops that keep agents honest already exist.

Stalled Backlog Burn-Down

Products stuck in maintenance mode get moving again when the cost of each change drops. Agents make small improvements cheap enough to actually do.

How We Work

How we introduce coding agents

  1. 01 Step

    Baseline and Assessment

    We measure how your teams deliver today, assess your stack and security posture, and recommend the coding agent tooling that fits, with cost and licensing modelled honestly.

  2. 02 Step

    Pilot Squad with Guardrails

    One squad adopts agent workflows with review gates, security boundaries and support from our engineers, on real deliverables rather than toy projects.

  3. 03 Step

    Measure and Refine

    Results against the baseline decide what scales. We tune the workflows, the guardrails and the prompts based on what your engineers actually experienced.

  4. 04 Step

    Scale and Enable

    Bootcamps and embedded pairing carry the working patterns across the engineering organisation, and we step back as your teams take over.

FAQ

Agentic development FAQs

What is agentic development?

Software engineering where AI agents do real work: writing code, generating tests, reviewing changes and producing documentation, with engineers directing and reviewing rather than typing every line. Done well it compounds; done as a licence drop it becomes expensive autocomplete. The difference is adoption discipline, which is what we deliver.

GitHub Copilot or Claude Code: which should we adopt?

Often both, for different jobs. GitHub Copilot excels at in-editor assistance inside the Microsoft and GitHub estate most teams already run. Claude Code is an agentic tool that takes on whole tasks across a codebase. We assess your stack, security posture and ways of working, then recommend a mix with costs modelled honestly. We work with both, and with Claude as a registered Anthropic partner.

Is AI-generated code safe to ship?

It is as safe as your review discipline. Our rule is simple: nothing agent-written merges unreviewed. We set up review gates, secrets and data boundaries for agent contexts, dependency and licence scanning, and audit trails of what agents changed, so speed scales without eroding the controls your security team relies on.

How do you measure productivity gains from coding agents?

We baseline before anything changes: cycle time, review turnaround, defect escape rate and delivery cadence for the pilot squad. Rollout decisions are then made against evidence from your own teams rather than vendor benchmarks, and you get numbers you can defend to the board.

Will coding agents work with our stack?

Almost certainly. Coding agents are strongest in mainstream languages and frameworks, and still useful in legacy estates, where their ability to read and explain unfamiliar code is often the biggest win. The assessment at the start of every engagement confirms where they will pay off first in your codebase.

How long does enablement take?

Bootcamps run two to five days and finish with your engineers shipping agent-built changes in your own environment. A typical adoption programme, from baseline through pilot squad to organisation-wide rollout, runs one to two quarters depending on team count.

Our Clients

Trusted by

Glassmoon
Lanware
Micheldever Tyre Services
Midwich
Mount Anvil
Nuevo Partners
Pro Global
Seras Energy
Skanska
Ocean Conservation Trust
WA Comms
Glassmoon
Lanware
Micheldever Tyre Services
Midwich
Mount Anvil
Nuevo Partners
Pro Global
Seras Energy
Skanska
Ocean Conservation Trust
WA Comms
Client Voices

Hear from our clients

Video Stories

Skanska testimonial video
Skanska

David, Skanska

Project/Programme Manager

Mount Anvil testimonial video
Mount Anvil

Mike, Mount Anvil

Head of Technology Applications

Testimonials

Book an agentic engineering bootcamp

Run a hands-on bootcamp with your engineers on your own codebase, or start with a short call to baseline your current delivery speed so any gains are measured, not guessed.

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