Software engineering was one of the first areas AI transformed — but proprietary code and quality need care. Here’s how UK engineering teams can use AI in 2026. (dgm implements osFoundry as an independent partner.)
Where AI helps engineering
- coding assistance — autocompletion, generation;
- code review support;
- documentation drafting and maintenance;
- codebase and knowledge retrieval; and
- summarisation.
AI accelerates routine coding and documentation so engineers focus on architecture, complex problems and review.
Review and own the code
AI-generated code must be reviewed and tested like any other — it can produce plausible but incorrect or insecure code. Engineers review, test and own it. AI is a productivity accelerant for routine coding and boilerplate; judgement, quality and security stay human.
Protect proprietary code
Keep proprietary code controlled — self-hosting or local inference rather than consumer tools, and bring-your-own-key with providers whose terms you accept (e.g. that don’t train on your code). osFoundry’s self-hosting and local inference keep proprietary code in your environment.
Codebase grounding
AI answers questions about your codebase by grounding in your real code and documentation (retrieval/RAG), so answers are specific to your systems — helping onboarding and knowledge sharing. Engineers verify before acting on AI answers about critical systems.
Where osFoundry and dgm fit
dgm builds secure, data-controlled engineering AI on osFoundry: codebase retrieval, bring-your-own-key (including code models), self-hosting and local inference to protect IP (data control via your own cloud, hardware or EU region — note no dedicated UK region), and audit. (osFoundry includes a code-repos/IDE capability per its own materials.)
dgm is an independent integration partner with zero integrations so far — no client claims. To scope an engineering AI project, book a consultation with dgm. General information only.