Decades of research across tens of thousands of projects point to team alignment as the root cause of failure. This article examines why alignment failures are so common, how they compound over time, and what engineering leaders can do to build the single-team model that is the strongest predictor of project success.

Cloud-native architectures have changed the landscape of software quality. This article examines the five dimensions of non-functional testing that matter most in cloud-native environments: performance, resilience, security, observability, and accessibility, and what engineering leaders need to consider to address them.

More than 80% of AI projects fail which is twice the rate of non-AI IT projects. This article explores the five reported consistent root causes of this failure: starting with technology instead of a business problem, weak executive sponsorship, poor data readiness, no path to production, and treating AI like a traditional IT project.

This article examines why traditional software testing falls short for LLM-powered systems and what organisations need to do differently. It covers the scale of the hallucination problem, evaluation approaches for RAG and agentic AI systems, the emerging regulatory requirements around AI testing, and how engineering leaders can build the evaluation capability needed to deploy AI responsibly.

Rolling out AI to engineering teams successfully depends on three interconnected phases: establishing solid foundations, executing a structured rollout and committing to continuous improvement. These observations come from our internal AI deployment at Audacia and supporting other organisations through similar transformations.

This article examines Microsoft Fabric and what it offers data leaders looking to consolidate fragmented data stacks. It explores where Fabric sits, how its unified platform brings storage, engineering, warehousing, data science and business intelligence under a single environment, and the key considerations for organisations evaluating whether adoption is the right strategic move.

Modern applications face a constant tension between competing architectural demands: systems must scale efficiently, remain highly available, perform well under load and be maintainable without excessive operational overhead. This blog explores cases where serverless architectures can address these requirements by shifting infrastructure management to cloud providers, allowing development teams to focus on building features rather than managing servers.

Many organisations talk about CI/CD, but the reality is that most have achieved continuous integration without continuous deployment. This article explores two distinct pathways to achieving true continuous deployment: trunk-based development and Git Flow.

A live first event of our new podcast series, this session will speak to a panel of senior technology leaders discussing some of the biggest challenges in cybersecurity right now - from social engineering and human error to the impact of AI on cyber threats and what quantum computing means for encryption in the longer term.

As systems scale, so does complexity. However, serverless architectures offer a different path - one that prioritises resilience, performance, and simplicity. In this session, Principal Software Engineer, Luke Mitchell, will explore how to design serverless infrastructure with long-term maintainability in mind.

In this session, Technical Director Richard Brown will outline a framework for introducing AI into the engineering lifecycle, covering the foundations, rollout, and continuous improvement required to make AI adoption sustainable and scalable across the SDLC.

This panel session brings together voices from data, engineering, delivery, and project management from MHRA and Audacia to share lessons from a successful GenAI implementation that is now helping to inform transparent AI in regulation around the world.