Skip to content

Webinar

 

 

On-demand
Coding is no longer the bottleneck; context and alignment are. In this 60-minute session, we'll show the AI-first SDLC we've adopted across our own engineering teams and client projects. It rests on three pillars: durable project context, living specifications as the single source of truth, and chained agentic loops that implement and review against those specifications. We’ll cover how the model works, how to bootstrap it in an existing codebase, and what we learned from putting it into practice.
AI-First SDLC: Reimagining Software Development
October 8, 2026

What we will cover

Coding is no longer the bottleneck; context and alignment are. In this 60-minute session, we'll show the AI-first SDLC we've adopted across our own engineering teams and client projects. It rests on three pillars: durable project context, living specifications as the single source of truth, and chained agentic loops that implement and review against those specifications. We’ll cover how the model works, how to bootstrap it in an existing codebase, and what we learned from putting it into practice.

‍

  • How the model fits together
  • How to bootstrap it in a codebase that already exists, which is where most teams actually are
  • What held up on real projects and what broke

Presented by

Evgeni Rusev

Solution Architect, Tecknoworks

Solution Architect working with clients across manufacturing, mining, insurance, and finance to design and deliver applied AI and software solutions. I translate business goals, operating realities, user needs, and technical constraints into scalable architectures - whether building new capabilities, modernizing legacy platforms, or integrating with established enterprise environments. I lead the end-to-end architecture process, from solution design and technology selection through implementation oversight, with a focus on security, production readiness, and long-term maintainability. I lead the adoption of AI-driven SDLC practices both internally and with clients - through workshops, training, and hands-on enablement - to embed AI-native engineering ways of working beyond individual engagements.

Who this is for

  • Data and platform teams
    Data Platform Managers, Lead Data Engineers, Analytics Engineering Managers, Senior Data Engineers, Data Architects
  • ML and AI delivery teams
    MLOps Leads, Senior ML Engineers, AI Engineers, Applied Scientists, Heads of AI Delivery
  • Integration and modernization teams
    Solution Architects, Principal Engineers, Engineering Managers, Integration Leads, Technical Program Managers

‍

Format and logistics

  • Where is it held? On GoToWebinar. You will receive the join link by email after registering.
  • What if I cannot attend live? Register anyway. We send the recording to everyone who signs up, and you can watch it whenever suits you.
  • Is it a sales pitch? No. It is an engineering session, presented by the people who build these systems. Questions about our work are welcome, but that is not the point of the hour.