At the upcoming event “AI-assisted coding in practice: successes, failures, and engineering trade-offs”, participants will explore how AI coding tools are used in real software engineering workflows and what their practical impact looks like beyond demos and benchmarks.
The session focuses on day-to-day engineering realities: where AI tools provide measurable value, where they introduce new risks or overhead, and how teams are adapting their development processes in response. The discussion is grounded in practical experience rather than theoretical potential.
What to expect:
- An overview of commonly used AI-assisted coding tools and how development teams apply them in practice
- A breakdown of where AI fits into the software development lifecycle — and where it does not
- A discussion on productivity gains, including what can be measured objectively versus what remains subjective
- Examples of integrating AI tools into existing workflows, including local development, pull requests, and CI pipelines
- Considerations around security, compliance, and intellectual property when using AI in software development.
The event is intended for software engineers, technical leads, and technology decision-makers interested in understanding the real-world implications of AI-assisted coding and making informed choices about its adoption.