AI Adoption and AI Applications

inatimi iyamokuma — Wed, 19 Aug 2026 09:23:47 +0000

The UK doesn't need more AI tools.

It needs better AI application.

ONS data shows that 29% of UK businesses were using at least one AI technology in June 2026.

But adoption isn't the real measure of success.

Results are.

UK Government research found that 75% of businesses using AI reported improved workforce productivity, while 57% reported developing new or improved processes.

That is the opportunity.

Businesses should stop asking:

“What AI tool should we buy?”

And start asking:

“Where are we losing time, money or productivity—and can AI fix it?”

The winners won't necessarily be the businesses using the most AI.
They'll be the ones applying it to the right problems.

AI adoption is the beginning.
AI application is where the value is.

Designing Reliable APIs for Production Applications: Lessons From Building Real-World Digital Products

inatimi iyamokuma — Wed, 19 Aug 2026 09:20:10 +0000

Designing Reliable APIs for Production Applications: Lessons From Building Real-World Digital Products

APIs are often described as the “bridge” between different parts of an application, but building a production-ready API involves much more than sending data from a frontend to a backend.

Through my experience building full-stack applications, I've learned that a good API needs to be designed around reliability, security, maintainability and the actual needs of its users.

Here are some of the principles I now consider when designing APIs:

Design around resources, not screens

An API shouldn't simply mirror the frontend interface. It should expose meaningful resources and operations that can evolve independently from the UI.

Validate everything at the API boundary

Data coming from a client should never be trusted automatically. Request validation, type checking and clear error responses help prevent invalid data from propagating through the system.

Authentication is only the beginning

An authenticated user should not automatically have access to every resource. APIs need appropriate authorisation and access-control rules for sensitive operations.

Design predictable errors

A useful API doesn't just return “something went wrong.”

Clients need consistent status codes and structured error responses so that applications can respond appropriately.

Think about idempotency

This becomes particularly important when an API handles operations such as payments, orders or other actions that shouldn't accidentally happen twice because of a network retry.

Don't expose unnecessary data

APIs should return what the client needs rather than exposing entire database records. This reduces unnecessary data transfer and can also reduce the risk of accidentally exposing sensitive information.

Logging and observability matter

An API can appear perfect during development and still fail in production.

Good logging and monitoring make it possible to understand what happened when requests fail, latency increases or an unexpected behaviour occurs.

APIs should be designed for change

Production systems evolve. API versioning, backward compatibility and clear documentation can prevent a change in one part of the system from breaking everything that depends on it.

One of the biggest lessons I've learned is that API development is not simply about creating endpoints.

It's about designing reliable boundaries between systems that can continue to work as the product, users and requirements grow.

I'm continuing to explore better approaches to API architecture, particularly around payments, authentication, third-party integrations, scalability and AI-powered applications.

What is one API design principle you consider essential in production systems?

APIs #SoftwareEngineering #BackendDevelopment #FullStackDevelopment #WebDevelopment #SystemDesign #RESTAPI #Technology #Engineering

DEV Community: inatimi iyamokuma

AI Adoption and AI Applications

Designing Reliable APIs for Production Applications: Lessons From Building Real-World Digital Products

APIs #SoftwareEngineering #BackendDevelopment #FullStackDevelopment #WebDevelopment #SystemDesign #RESTAPI #Technology #Engineering