AI in Software Development – Reducing
Technical Debt
Technical debt is the inevitable accumulation of code compromises and design trade-offs that occur during software development. While some level of technical debt is unavoidable, left unchecked it can significantly impact productivity and product quality. However, recent advancements in AI offer promising solutions to manage and reduce technical debt more effectively.
Our upcoming event, “AI in Software Development – Reducing Technical Debt”, explores how AI can be leveraged to address this pervasive challenge:
Making the most of Co-Pilots: With the right prompting from your engineers, co-pilots move from advanced auto-fill tools to pair-programming assistants. By learning your team’s best practices and coding styles co-pilots can catch bugs, errors and divergence from best practices in real time, suggesting edits to allow engineers to write cleaner, more reusable and more effective code, minimising technical debt before it is committed to your codebase.
Testing Velocity: In recent internal experiments involving a number of AI tools, our consultants found that generating testing materials (unit tests, test cases, etc.) with AI significantly accelerates the quality engineering and assurance process. They demonstrated over a 50% increase in test velocity, allowing engineering teams to apply more rigorous QA standards to a larger portion of the codebase without slowing down the release cycle. This approach not only enhances overall software quality but also reduces future time spent on bug fixing, hot fixes, and support tasks.
Register Now
Why Attend Our Event?
Practical Solutions: Walk away with actionable strategies to introduce AI into various stages of your software development lifecycle, or refine the tools and processes you already have in place, based on our speaker’s practical experiences.
Software Industry Specific: Hear from development teams who are using AI tools on live projects on their biggest wins, the most useful tools, and the challenges they had to overcome to see the best results.
No Product Demos: Practical insights, examples and discussions based around harnessing the common tools like Jira, GitHub and Postman that you already have in place, offering strategies that require minimal additional investment.
Network with Peers:Connect with other professionals in the software and digital product industry, share experiences, and build valuable relationships that can lead to future collaborations.
Who is this for?
- Leaders in the software sector who are seeking insights on the most effective ways to leverage AI in their software development lifecycles
- Software Development Directors, VPs & Managers investigating new ways to reduce technical debt, and focus their team’s time and efforts on delivering new features to their customers
- Heads of Quality Assurance and Engineering focused on increasing test velocity and coverage
Agenda
Join us at our upcoming event in UK.
Roundtable sessions: AI in Software Development – Reducing Technical Debt
| 6pm | Drinks and introductions |
| 6:15pm – 7:45pm | Three Course Meal
Two speakers from the software development sector discussing their experiences with AI in the SDLC and how they are harnessing it to address technical debt, including specific perspectives on Co-pilots and increasing testing velocity. |
| 7:45pm-8:30pm | Networking and Q&A opportunities |
Roundtable Session:
Topic: AI in Software Development – Reducing Technical Debt
Date: Wednesday 20th November
Time: 6pm – 8:30pm
Event Location: Conrad London St. James,22-28 Broadway, London SW1H 0BH
Whitepapers
Harnessing Artificial Intelligence for Enhanced Cybersecurity
The rapid digitization of various sectors has led to an exponential rise in cyber threats, compelling organizations to adopt innovative approaches to cybersecurity. This paper explores how Artificial Intelligence (AI) has emerged as a potent tool in fortifying cybersecurity defenses in areas such as threat detection and prevention, vulnerability assessment, and incident response.
Meet your Speakers
Shaun McGirr
Data leader Shaun McGirr’s expertise spans statistics, academia, and consulting, especially in automotive data science. Known for his insights in the documentary Data Science Pioneers, Shaun promotes the power of strategic questioning in data science for real-world impact.
Mark Winteringham
Mark Winteringham is a quality engineer, course director, and author of “Software Testing with Generative AI” and “Testing Web APIs”,
with over 10 years of experience providing testing expertise on award-winning projects across a wide range of technology sectors. He is an advocate for modern risk-based testing practices, holistic based Automation strategies, Behaviour Driven Development and Exploratory testing techniques. You can find him at mwtestconsultancy.co.uk.
