AI is rewriting how software gets delivered – but the story isn’t all acceleration. Some teams now ship prototypes in hours; others are drowning in code that passes every test yet no one fully understands. Drawing on patterns and observations from across the industry, this session takes a clear-eyed look at where AI genuinely speeds up Agile delivery, and where it quietly strains the things we rely on – estimation, trust, and the definition of “done.” The goal is practical insight: how teams can embrace the upside while spotting the new risks early.
Key Takeaways:
1. AI’s biggest delivery gain isn’t faster typing – it’s collapsing the time-to-competence on anything new, from learning a tool to shipping a first prototype.
2. Vibe-coding moves validation earlier: PMs and non-engineers can turn an idea into a working demo in a weekend, tightening feedback loops dramatically.
3. The new bottleneck isn’t writing code — it’s reviewing, trusting, and owning AI-generated work. “It passes the tests” is not the same as “we understand it.”
4. Classic Agile metrics wobble when an agent does in minutes what took days. Story points and velocity start measuring the wrong thing, and our rituals need to catch up.
5. AI makes the first 80% almost free and the last 20% deceptively expensive. The winning teams aren’t the fastest adopters — they’re the ones who redesign trust, review, and metrics around AI.
- Date:04/07/2026
- Time:11:10
- Event:Accelerating Agile Delivery in the Age of AI @Bengaluru
