Deloitte

Cyber Security Manager

Neil Gerard 400 x 400

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Over the past few years, since the introduction of LLM-based coding assistants into software development workflows, the practice of software development has been experiencing a significant revolution. Like the combination of DevOps, cloud computing, and agile development which radically changed the craft over the last two decades, the age of AI is yet again reinventing what it means to be a software builder.



The story is more complex, however, than simply predicting that software development jobs will be replaced with AI agents. The history of innovation has shown that these warnings are almost always exaggerated. What’s just as clearly true, however, is that roles will evolve as technologists move up the value chain and replace toilsome tasks with higher-productivity workflows.



In addition, the prevalence of AI-based code generators ensures that the complexity of software will continue to increase, and therefore so will its risks, particularly given the poor security track record of AI-generated software thus far.
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Join Snyk, the leader in AI Trust and Developer Security, for a wide-ranging discussion of the future of software development, including:
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<li>How will developer experience (DevEx) evolve in response to trends like “vibe coding” and the rapid adoption of AI-based development environments?</li>
<li>What happens to role definitions in the software engineering space, now that the ability to build software is uncoupled from the skillset of writing code?</li>
<li>Why should tomorrow&#8217;s AI-powered software engineers continue to prioritize security, and how must AppSec evolve to meet the new demands?</li>
<li>Are legacy methods of security training and education still valid in the AI era, or do we need a new approach for enabling software builders to understand risk?</li>
<li>What skills and experience should the software engineers of today prioritize to remain competitive as AI increasingly reshapes the market?</li>
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