Agile + DevOps East 2023 - AI/ML - Track 1
Wednesday, November 8
Integrating Generative AI in Your Workflow
Delve into the vital importance of Generative AI and its profound impact across various domains, revolutionizing workflows and fostering innovation and creativity. As the digital landscape rapidly evolves, harnessing generative AI becomes imperative to remain at the forefront of progress. Attendees will explore how this cutting-edge technology unlocks the potential to generate realistic and novel content, spanning from images to music and text, fundamentally transforming traditional workflows. Three key takeaways are emphasized: First, the integration of generative AI empowers attendees to...
Addressing Security Risks In LLM-Based Applications
Large Language Models continue to grow in popularity as people experiment, applying them to problems and pushing new code into production applications. Growing along with this popularity is an engineering approach that advocates outsourcing more and more of an application’s functionality to these LLMs. But what seems like an advantage on the surface masks different costs and risks. Ultimately, you may end up with less reliable code that’s harder to troubleshoot and fix, accruing technical debt along the way. There’s also the potential increase in attack surface from integrating LLMs into...
Copilot Wants to Write Code and Be Your Friend!
Have you ever wanted to be able to pair program by yourself? Did your coworker write incoherent code at 3 in the morning? Do you hate writing unit tests by hand? If you answered yes to any of these, then Copilot is the perfect tool for you! Copilot will suggest code snippets as you work based on the assumptions it makes on what you are trying to accomplish. It can explain those pesky chunks of code that you don’t understand, saving you valuable time. You can even have Copilot write out unit test code for you based on the methods that you are trying to test. Merging two tabs into one, dive...
Thursday, November 9
Generative AI in Quality Assurance
The need for a new test automation model has been an imperative over the last 10 years as we have moved from waterfall to agile and agile to DevOps. Moving from test coverage to application coverage and reducing test time from months to an hour or less has created a substantial pressure for full success. Now AI in test is a reality. The first generative AI offerings in QA became available in 2018 and since then marked improvements have been made in outcomes. This has changed QA teams' focus, tasks, and work effort. With the ultimate goal of AI finding all our bugs, the advent of...
AutoOps: Harnessing the Power of AI-Augmented Testing with Generative AI
In the rapidly evolving landscape of software development, Continuous Integration and Continuous Deployment (CI/CD) have emerged as pivotal methodologies for delivering high-quality software at an accelerated pace. To ensure the reliability and robustness of software releases in such an environment, the marriage of cutting-edge technologies becomes imperative. Incorporating Generative AI into business process automation seemed daunting just a few years ago. However, the availability and popularization of OpenAI/ChatGPT and other AI/ML technologies have made it a closer reality, and now it...