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  AI-ASSISTED SOFTWARE DEVELOPMENT

Ship faster, without sacrificing quality.

AI tooling across the whole development lifecycle — from the editor through the CLI into the pipeline. We put coding agents where they add speed and back them with reviews, tests and clear guardrails. Augmentation, not autopilot.

01 Principle

Speed with a safety net.

AI accelerates the work — it does not replace judgement. Every generated change goes through the same quality gates as any other.

Augment, don't replace

AI takes the repetitive; people decide architecture, trade-offs and sign-off.

Review gates

Generated code takes the same path: merge request, review and a green pipeline before merge.

Deterministic where it counts

Tests, linting and type checks stay the truth — AI offers suggestions, not free passes.

Agents in the pipeline

Recurring tasks run automatically in CI/CD — not as click-work on the side.

02 Tooling

Where AI makes the difference.

From the first line to the release — AI support at the points where it adds speed, without handing over control.

Agents in editor & CLI

Coding agents right in the development environment — context-aware, anchored in the repository.

Custom workflows

Agent flows that fit your stack and conventions — not off-the-shelf.

Automated reviews

An extra pair of eyes on every merge request — catching bugs, style breaks and risks early.

Agents in CI/CD

Tests, coverage analysis, release notes and routine tasks automated in the pipeline.

Multi-repo rollouts

Cross-cutting changes rolled out consistently across many repositories — planned and checked.

Custom skills & tools

Bespoke commands and tools that bake team knowledge and house rules into the agents.

Guardrails & sign-off

Clear limits on what agents may touch — and a human who approves before the merge.

Knowledge & context

Agents know your conventions, docs and history — instead of guessing in a vacuum.

03 Delivery

From tool to team standard.

We introduce AI support not as a gimmick but as a dependable part of your development process.

  1. /01

    Workflow analysis

    Where time is lost, what is repetitive, where AI pays off — and where it doesn't.

  2. /02

    Tooling setup & guardrails

    Agents set up with rights, limits and conventions — safe by default.

  3. /03

    Custom agents & skills

    Flows and commands that know your stack, your docs and your house rules.

  4. /04

    CI/CD integration

    Agents and checks embedded in the pipeline — from commit to release.

  5. /05

    Review gates & quality

    Tests, reviews and metrics make sure speed never comes at the cost of quality.

  6. /06

    Team enablement

    Training and house rules so your team uses the tools safely and productively.

Augment

AI as a tool for the team — not an autopilot left to drive unsupervised.

Review gates

Generated code goes through the same checks as everything else.

Deterministic

Tests, linting and type checks stay the bar for quality.

Measurable

Impact measured in lead time and quality — not in hype.

04 / Enquire Direct

Gain speed, keep quality.

Tell us briefly about your stack and your development process — we'll show where AI has real leverage.