Blog - Nimble Approach

AI Testing

Why Token Awareness Matters: A Developer’s Hard-Learned Lesson in AI Efficiency

In this post, I break down how an ordinary proof-of-concept spiralled into a 66-million-token incident - and what it taught me about the real costs of modern AI…

carabills47a77b925b16th December 2025

Office workers looking at a computer screen

Amplifier, Not Autopilot: What the DORA AI Findings Really Tell Us

This blog distils the key insights from the latest DORA AI findings and explains what they mean for leaders trying to turn emerging tools into real, sustainable business…

carabills47a77b925b15th December 2025

Office workers planning on a notice board

Strategy

Two-Speed Transformation: When You Should Go Slow, and When Quick Delivery Wins

This blog explores why effective transformation in government requires moving at two distinct speeds - and how doing so enables a shorter time to value without compromising long-term…

carabills47a77b925b12th December 2025

AI Data

Enhancing AI With Organisational Context: Why Less Is Often More

This blog examines the rapid rise in data generation and storage, why more data isn’t always better for training Large Language Models (LLMs), the importance of data curation…

carabills47a77b925b4th December 2025

Products and Services Team Tips

Break Down the Barriers to Value: Why the Product Operating Model is Key to Digital Success

This blog explores why technology struggles often stem from organisational structure, not the tech itself, and how applying the Inverse Conway Manoeuvre and a product operating model can…

carabills47a77b925b3rd December 2025

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AI Testing

Why Mutation Testing Is Essential for Trustworthy AI

As we look to incorporate AI into our products, services and daily workflows, it’s easy to assume that the models are inherently Secure by Design. But deeper integration…

carabills47a77b925b1st December 2025

Data

Technical Deep Dive: Building a Python-Driven Master Data Management (MDM) Pipeline

This blog provides a technical walkthrough of how to build an end-to-end Master Data Management (MDM) process using Python. It demonstrates how to transform messy, multi-source CRM data…

carabills47a77b925b28th November 2025

AI Testing

Why You Need to be Doing Security Testing For Your AI (And How to Do It)

As we look to incorporate AI into our products, services and daily workflows, it’s easy to assume that the models are inherently Secure by Design. But deeper integration…

carabills47a77b925b26th November 2025

AI Testing

How to Use Test-Driven Development (TDD) for better AI coding outputs

AI coding assistants can generate code in seconds, but without the right guidance, small mistakes can derail a project. Pairing them with Test-Driven Development gives structure, clarity, and…

carabills47a77b925b26th November 2025

Data Testing

Why Your RAG System Fails – and How Semantic Chunking Fixes It

This article breaks down why naive, fixed-size chunking leads to poor retrieval, how semantic chunking solves the problem, and what tools and methods you can use to implement…

carabills47a77b925b24th November 2025

Products and Services Team Tips

How to Build Empowered Product Teams That Deliver

Empowered product teams don’t just deliver features - they deliver impact. They’re teams who deeply understand customer problems, make decisions grounded in data, and own outcomes from discovery…

carabills47a77b925b19th November 2025

AI Testing

How AI Can Help Shape the Future of Testing

In this blog, we take a closer look at how AI can help teams move faster without compromising on quality. From analysing code to tracking exploratory testing sessions,…

carabills47a77b925b18th November 2025

Data

Harnessing ‘Lighthouse’ Projects & Vertical Slicing to Develop Your Data Capability

This blog explores how and why the modern data tooling ecosystem is consolidating through the lens of the Modern Data Stack (MDS).

carabills47a77b925b14th November 2025

Data

Is Consolidation Killing the Modern Data Stack?

This blog explores how and why the modern data tooling ecosystem is consolidating through the lens of the Modern Data Stack (MDS).

carabills47a77b925b13th November 2025

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Nimble Blog

Why Token Awareness Matters: A Developer’s Hard-Learned Lesson in AI Efficiency

Amplifier, Not Autopilot: What the DORA AI Findings Really Tell Us

Two-Speed Transformation: When You Should Go Slow, and When Quick Delivery Wins

Enhancing AI With Organisational Context: Why Less Is Often More

Break Down the Barriers to Value: Why the Product Operating Model is Key to Digital Success

Why Mutation Testing Is Essential for Trustworthy AI

Technical Deep Dive: Building a Python-Driven Master Data Management (MDM) Pipeline

Why You Need to be Doing Security Testing For Your AI (And How to Do It)

How to Use Test-Driven Development (TDD) for better AI coding outputs

Why Your RAG System Fails – and How Semantic Chunking Fixes It

How to Build Empowered Product Teams That Deliver

How AI Can Help Shape the Future of Testing

Harnessing ‘Lighthouse’ Projects & Vertical Slicing to Develop Your Data Capability

Is Consolidation Killing the Modern Data Stack?

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