AI-Driven SDLC: How AI is changing software delivery
AI-Driven SDLC: How AI is changing software delivery
Enehano Webinar
AI-Driven SDLC: How AI is changing software delivery
How a delivery team is putting AI agents to work across the full development lifecycle, from requirement analysis to testing and code review. Demonstrated on Salesforce, applicable to any tech stack.
Perfect for: CTOs, Heads of Engineering, software delivery leaders and architects (Salesforce and beyond) deciding where AI fits into their delivery process.
Wednesday, 4 November 2026 | 9:00 CET | 40 minutes | Free
What you'll see:
●How an AI agent moves through the full SDLC: from requirement analysis through architecture and implementation to testing and code review.
●A shared project context, knowledge base and marketplace of role-specific skills that let agents work safely with source code and delivery tools.
●Human decision gates (requirement, architecture, merge and release approval) that keep people in control of the outcome.
●A demo of the full workflow: a development agent picks up a task using the shared context, prepares an implementation plan, and launches sub-agents for development and code review.
●Why the whole lifecycle matters: shorter time to market and fewer production incidents, not just a faster individual developer.
Why attend:
●Real delivery story: how a delivery team put AI to work across the full SDLC, not just in a single tool. Shown on Salesforce, the same patterns apply to Java, Node.js, .NET and other stacks.
●Project walkthrough: see the workflow in action in a demo, not only slides.
●Key message: one set of agents and a shared context can cover analysis, development and review.
●Business impact: more tasks delivered in parallel, shorter time to market and higher code quality in production.
●Your takeaway: a practical picture of what AI-driven SDLC takes, and what to prepare before you start.
Agenda
9:00
Welcome and introduction
Who Enehano is, and why we’re running this session together with Qest technologies.
AI-Driven SDLC: practical AI adoption in software delivery
Shared project context, specialised agents across analysis, architecture, development and review, and the human decision gates that keep control over the output. Includes a demo of the workflow in action.