WebdexServices
Product and platform delivery, AI-augmented engineering and architecture advisory — hands-on work inside your repository and your team.
Three ways to work together, and they overlap in practice. How an engagement runs covers the models, cadence and handover that apply to all three.
Product & Platform Delivery
Taking a product or platform from the decision to production, inside your repository and alongside your team. That means architecture, build, pipeline and the operational work that follows a release.
Typical work
- Architecture and technical design
- Hands-on build in C#/.NET, Python and Go
- CI/CD and environments
- Performance, reliability and observability
- Getting stalled or legacy delivery moving again
What you get
- Working software in short increments, reviewed as it lands
- A deployment pipeline and tests your team owns
- Decisions written down
Past delivery work includes monitoring of Power-over-Ethernet loudspeakers across stadiums — verifying that each device is alive and able to broadcast evacuation alerts — and a high-availability public data platform used by government, statistical and research organisations, engineered to a five-nines-plus availability target.
AI-Augmented Engineering
AI applied to the delivery pipeline — review, tests and documentation — and measured by what it saves, not by the demo. It changes how the work is done rather than what gets shipped.
Typical work
- Review assistance on pull requests
- Test generation and finding untested paths
- Drafting and updating documentation and decision records
- Assisted refactoring and migrations, behind review
Guardrails
- Every change is reviewed by a human
- AI use is explicit and agreed with the client before it is applied
- Anything adopted has to show its saving before it becomes part of the pipeline
- The same review and testing standards apply whether a change came from a person or a tool
Architecture & Technical Advisory
Short, senior input where a decision is expensive to get wrong: a rewrite, a migration, a platform choice or a delivery process that is not working.
Typical work
- Architecture reviews
- Build-versus-buy and platform choices
- Delivery and CI assessment
- A second opinion before a rewrite or migration
What you get
- Written findings with options and trade-offs
- A decision record you can act on
- Engagements measured in days, not quarters
Past work includes leading the transformation and optimisation of an AI-powered engine serving around ten million users a month.
To start, tell us what you are working on.