Development Practice
DevOps, CI/CD, testing, estimation, and delivery patterns.
Good software is not just about writing code. These guides cover the practices that separate prototypes from production systems: DevOps maturity, delivery pipelines, service standards, and the discipline needed to ship AI-built software that actually works at scale.
Whether you are assessing your DevOps capability, deciding between in-house and outsourced operations, or applying GDS service standards in the private sector, each guide is grounded in what we see working across real delivery teams.
The GDS Service Standard for Private-Sector Delivery Teams
A practical guide to what the UK Government's GDS Service Standard offers private-sector delivery teams, which practices transfer directly, which need adapting, and which are genuinely public-sector specific.
In-House DevOps vs DevOps-as-a-Service: A Cost and Capability Comparison
Should you hire a DevOps engineer or work with a DevOps-as-a-Service partner? A practical comparison of cost, coverage, risk, and how AI-augmented delivery changes the economics.
DevOps Maturity: Where Does Your Team Stand and What Should You Fix First?
A practical DevOps maturity model with AI-augmented practices at each level. Self-assessment questions, DORA metrics, and a prioritised improvement path.
From Prototype to Production: What AI-Built Software Needs to Ship
AI tools make prototyping nearly free. The gap between a working demo and production-grade software is where most projects stall. A practical guide to bridging it.
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AI and Code
AI tools, IP ownership, attribution, and compliance for enterprise teams.
API and Integration
REST, GraphQL, gRPC, Azure API Management, and integration patterns.
Build, Buy, or Replace
Decision frameworks for build vs buy, SaaS replacement, and migration planning.
Legacy Modernisation
Recognising hidden costs, choosing a modernisation strategy, and planning migration from legacy systems.
Teams and Support
Choosing partners, managing handovers, and outsourcing application support.
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