Schedule

AI has already changed software development. Tools like GitHub Copilot have become ubiquitous parts of the workflow of millions of developers. Like other well-known editor features (like autocomplete or tooltips), AI-in-editor increases productivity, reduces required context switching, and lets developers stay in the flow while focusing on important parts of their job. However, this was just a first step—with the rapid developments of large language models (LLMs), which have become more powerful and knowledgeable with every release and have excellent reasoning capabilities, we can do more.

In this talk, we will explore how to offload work to large language models and automate away most "busy work" in order to maximize and enhance productivity on a daily basis. We will do so mainly by exploring how LLMs can callfunctions.

AI tools are changing how we design, build, and test user interfaces. This talk looks at current AI technologies that are improving the frontend development process and how to use them, including:- Using Visual Copilot to convert Figma designs into production-ready code;- Implementing AI agents for automated code writing and testing;- Real-world examples showing how AI tools can improve development speed and joy.

Cursor is a breakthrough AI integrated development environment that enables rapid prototyping via its composer agentic mode. In this talk I'll cover how to maximize productivity with Cursor from tips and tricks to complete nearly hands off workflows. By the end of this talk you’ll understand techniques such as using modular checklists to build tests, using and indexing docs, cursor rules, when to commit, roll back strategies to reduce hallucinations and Devops scripts the active cursor LLM can write and use to keep the code honest.

This talk demonstrates how developers can get the most out of AI coding assistants by effectively managing the context they provide. Through practical examples with three popular assistants—Aider, Cursor, and Windsurf—I’ll show how to configure global and local context, manage it in real-time, and overcome common limitations. Attendees will also learn how to extend the assistants’ capabilities with a centralized knowledge service to maximize their productivity and accelerate software delivery.

AI-driven code review tools are transforming the development lifecycle by automating repetitive checks and highlighting code smells. This session will explore how AI reduces manual effort, improves detection accuracy, and enhances the overall quality of code.

In this talk, we'll to cover key features of Amazon Q Developer and demonstrate how it can enhance a developer’s workflow. The session will include live demos of:/dev@workspaceCode Scan@git and @history from Q-CliWe’ll also showcase real-world customer case studies to highlight the practical applications of these features.

In this engaging talk, we will delve into the journey of building, testing, and deploying a web app while examining the capabilities and limitations of ChatGPT in web development. Through the lens of this comprehensive process, we will explore how AI-driven development techniques can contribute to a more efficient workflow and discuss the challenges that may arise. Attendees will gain a deeper understanding of how to effectively incorporate ChatGPT into their projects, focusing on striking the right balance between automation and manual efforts. Join us as we navigate the ever-evolving landscape of web development and investigate the role of AI in shaping our development strategies.

AI promises to revolutionise productivity for managers, from aiding in creative problem-solving and research to improving prioritisation and decision-making support. But can AI really help us stay unbiased? And how do we ensure its safe use without risking sensitive company data? This talk explores actionable strategies for leveraging AI tools effectively while maintaining ethical standards and safeguarding information.

We’ll explore how AI has reshaped the learning curve, expedited development, and emphasized creativity in problem-solving. You’ll leave with actionable insights on building scalable architecture, mastering the art of prompting, and having fun creating innovative, AI-enhanced solutions. Additionally, we will examine modern AI tools such as Windsurf, Cursor, Bolt, Replit, and v0, highlighting which of these I have found to be the most productive in practical use.

Do you feel overwhelmed by complex note-taking systems or frustrated by the endless search for the "perfect" app? In this talk, I'll show you how to create a personalized notes system that works for *you*, helping you organize your thoughts, manage your work, and focus on what really matters—whether you're coding, studying, or planning your next creative project.

Most organizations have already taken strides to improve developer experience, streamlining workflows and adopting modern tooling. Yet many still grapple with operational blind spots, security risks, and escalating costs. In this forward-looking session, we explore how to move beyond a narrow focus on developer satisfaction and integrate core pillars of engineering excellence—security, reliability, efficiency, and velocity—into every facet of the development process. Building on the foundation of your existing DevX successes, we’ll dive into practical strategies for enforcing production-ready standards, automating security checks, and optimizing performance without sacrificing developer autonomy.

Think being an IC limits your impact? Think again. In this talk, we’ll explore Developer Productivity Engineering (DPE)—a growing field that’s all about making developers happier and helping them ship better software faster.This session will introduce the foundational principles of DPE, explore the SPACE framework, and teach you how to apply your engineering skills beyond just code. Expect to navigate through real-world case studies and gain insights from personal experiences.

Is communication with bugs possible? It is important to understand them because there is valuable information underlying the bugs of software, and it promises quality improvements. Let's talk about how we can analyze reported issues to improve the future of the product by means of Artificial Intelligence.

As a Senior QA Engineer with over a decade of experience in testing and process optimization, I understand the critical importance of precise, well-structured technical documentation in driving successful projects. From test case repositories and product specifications to API references and comprehensive user manuals, the quality of documentation directly impacts team efficiency, product usability, and client satisfaction.In this talk, I’ll unpack how AI-powered tools like ChatGPT, Atlassian Intelligence, and GitHub Copilot are transforming the landscape of technical documentation. We’ll focus on how Large Language Models (LLMs) enable the rapid creation of standardized, accessible content across diverse formats.

Building generative AI applications requires a GenAIOps mindset that takes you on a journey from model selection to prompt ideation, prototype evaluation, and app deployment. In this talk, we’ll explore the GenAIOps journey from an AI Engineer perspective and identify productivity challenges, and the tooling solutions that can mitigate these issues and help streamline their developer experience.