Working Effectively with Claude Code
Amy Laws shares tips drawn from the experience of working with GitHub Copilot in VS Code and how the transition turned out to be more involved than expected when switching to Claude Code.

Apply agentic AI to reshape how your teams build software and run operations – unlocking faster delivery, better decisions and more efficient use of your existing systems and data.
Agentic AI reshapes how work flows across teams, systems and decisions. In software engineering, it can compress delivery cycles and improve quality. Across the business, it can automate complex processes, reduce manual effort and increase throughput without adding risk.
Realising those gains depends on how well AI is integrated into your existing environment. Data, systems and ways of working need to align so agent-led workflows run reliably. Without that, gains are hard to repeat and outcomes vary across teams.
We start with what you need to achieve. That might be faster software delivery, more efficient operations, or a step change in how work gets done. From there, we apply agentic AI where it will have the most impact.
Where the priority is engineering, we work within live teams to embed AI into the delivery lifecycle, improving how software is built, tested and released.
Where the focus is operational, we redesign key processes, introducing agent-led workflows that reduce effort and increase throughput.
We ground this in your current environment. We assess readiness across data, systems and ways of working, prioritise where to act, and use accelerators to deliver early value. We then support your teams to adopt new practices that scale safely and last.
How we enable your AI journey
Wherever you are on your AI journey, our approach is always tailored to your needs. Whether you are looking to build and deploy scalable agents, integrate your existing data and IT, or redesign your workflows, we can help get you there.

Ship faster with AI-augmented software delivery: Scott Logic's expert consultants work side-by-side with your teams on real tasks – coaching and guiding them to adopt the required tools, workflows, and mindsets to become truly AI-augmented. You'll see tangible improvements in productivity and time to market, using clear success measures that we define with you up front.

Whether you’re looking to improve efficiency, increase control, or unlock the value of agentic AI, we can help you rethink how work is delivered. We work with organisations to redesign operating models and decision flows so execution can move from people to AI agents, while intent, constraints, and oversight remain firmly in human hands.

You need solid foundations to successfully unlock AI efficiencies: data, people, engineering capability, governance and architecture. Our assessment will give you a baseline of where you are now, clarity on the actions you need to scale agents in your organisation, and an actionable roadmap to realise their value.

Through an 8-week accelerated engagement, Scott Logic's Forward Deployed Engineering team will work with you to accelerate agent workflow automation, helping you realise your new operating model and build your agentic foundations.
Find out how we have helped clients like you with tailored support to tackle technology challenges and achieve business goals.

How we supported DWP Digital to build production-ready pipelines and develop the Machine Learning Operations (MLOps) capability of its data science team so that it could rapidly iterate ML models in a safe environment, with the aim of safeguarding citizens.

Scopevisio set out to modernise a complex application, but the scale and risk of migration had made progress difficult to sustain. By transforming the software delivery lifecycle around AI, we helped the team unlock a viable, repeatable path to migration.
Scott Logic brought the professionalism, leadership and technical calibre we needed to move a highly ambitious programme forward. The goals we set were challenging, and at the start there was real uncertainty about how we would achieve them, but the team delivered on every single one.
Dr. Lukas Pustina, CTO, Scopevisio
Amy Laws shares tips drawn from the experience of working with GitHub Copilot in VS Code and how the transition turned out to be more involved than expected when switching to Claude Code.
In this episode, Colin Eberhardt is joined by Dean Kerr (Lead Developer) and Amy Laws (Developer) to discuss 'The Experiment' – a four‑week study to explore how AI really affects software development.
Junde Zhou explores the non-mainstream open-source coding agent, Pi, to discover whether it should be used over Claude Code or GitHub Copilot, as they search for the best agent to suit their way of working.
If you’d like to discuss how our specialists can help you turn your GenAI experiments into business as usual.