Sreejith K Rajendran

AI adoption in software organisations is not failing only because the capability of models are insufficient. One of the reasons is the teams using them have not developed the mindset, habits, or knowledge structures needed to unlock its full potential. This talk makes the case that the primary bottleneck is disposition— the posture with which a practitioner approaches AI. The talk is grounded in a production-tested framework and inspired from the collective intelligence of individuals who have applied techniques to achieve 100% AI-augmented code generation on live projects for over a year. The talk introduces a blueprint in which domain experts encode structured knowledge that is leveraged by AI to generate code that enables the organisation to scale and grow at a much faster pace. The audience after the session will leave with understanding of why AI seems challenging to adopt in domain-specific contexts, what structured knowledge encoding looks like in practice, and one actionable step they can take in their own team the following week.