Rethinking software in the age of AI
When producing is no longer the challenge, deciding and validating become essential.
Talk on-demand
Artificial Intelligence is increasing teams’ execution capacity. Code, documentation, analyses, and alternatives can be produced in less and less time.
But producing more does not mean making better decisions. The bottleneck now shifts to choosing what should move forward, validating results, and ensuring the right context, quality, and control.
In this on-demand talk, Suzanne Daniels, Chief Developer Advisor at Microsoft, explores what changes when AI moves beyond being a support tool and starts playing a more active role in how we develop software and organize work.
KEY TOPICS:
- Why AI’s real bottleneck is shifting from execution to decision-making and validation;
- How to distinguish a convincing output from a result you can actually trust;
- What changes when agents begin operating with greater autonomy across the development lifecycle;
- How to prepare people, processes, and teams to scale AI adoption with quality, context, and accountability.
AI can produce more. But who decides what is worth moving forward?
AI can already support different stages of software development, from requirements definition and planning to coding, testing, and operations. The challenge is no longer just about increasing productivity; it is about ensuring organizations can keep pace with that speed through critical thinking, context, clear validation criteria, and well-defined boundaries for autonomy.
From execution to decision-making
See how, as AI accelerates production, human value shifts toward defining what matters, deciding what should move forward, and evaluating the outcome.
Outputs that look right
A complete and convincing result is not necessarily correct. Knowledge, context, and critical thinking become even more important as production speeds up.
AI across the entire lifecycle
Explore how agents can support everything from requirements and planning to development, testing, and operations - and why accelerating each stage in isolation does not necessarily transform the process.
Autonomy with clear boundaries
Giving agents greater autonomy requires clearly defining what they can do, what they cannot do, and under which conditions they can act, through constraints, guardrails, and policies.
Human accountability
Agents can execute and make decisions within defined boundaries, but authority does not disappear. Understand why accountability for what moves forward still needs to remain clearly defined.
Teams ready for AI
Adopting AI is not just about introducing new tools. See why processes, roles, skills, and ways of working also need to evolve to turn speed into value.
Speakers
Suzanne Daniels
Sr. Chief Developer Advisor,
Microsoft
If producing is no longer the problem, where does the value lie now?
AI can accelerate execution, but it does not replace the need to set direction, challenge results, and make decisions with confidence.
In this talk, explore what people, teams, and organizations need to rethink to keep pace with a technology that no longer simply assists – it also begins to act.
