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Agentic Engineering for End-to-end Product Ownership

[1-hour] The first wave of AI coding assistants gave us unreliable code generators or glorified autocomplete. Now we're witnessing a fundamental shift to agentic engineering—but many developers are stuck in "vibe coding" mode, accepting whatever the AI produces without the skills to evaluate, direct, or collaborate effectively. This workshop bridges that gap, teaching you to move to owning a complete product lifecycle with a new approach to agentic engineering.

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Brendan O'Leary

Developer Relations Engineer - Kilo Code

I am a product strategist and community leader with 15+ years in the software industry. Currently, I lead Product Strategy and Community at ProjectDiscovery, focusing on aligning development with market needs and fostering an engaged open-source community. Previously, I played a key role at GitLab, contributing to its growth from Series C to IPO. I’m passionate about connecting with developers and sharing engaging stories through public speaking, writing, and fostering connections to solve real-world Day 1+ problems. When I'm not immersed in tech, I’m a dad of four, enjoying family adventures. Let’s connect!

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Brian Turcotte

Developer Relations - Kilo Code

Developer Relations Engineer @ Kilo Code, where we're building the most complete coding agent that eliminates friction and lets engineers focus on what matters. On the content side, I facilitate product marketing launches, educational videos, technical walkthroughs, and written/visual content across our blog, social media, and website. I also collaborate with AI model partners on promotional events and work to improve our documentation and technical resources. On the community side, I facilitate live webinars, discussions, and meetups that bring together Kilo users and the broader open-source community. It's one of the most rewarding parts of the job - connecting with developers who are pushing the boundaries, and learning from how they're using our tools in the real world.

Workshop Overview

Part 1 — Understanding AI Coding Modes

  • The spectrum from autocomplete to autonomous agents

  • Specialized modes for different engineering phases: planning, coding, debugging, review

  • When to use each mode and why context matters

  • Live demo: Architectural planning with AI before writing code
     

Part 2 — The Agentic Engineering Workflow

  • Approval-based workflows that maintain developer control

  • Effective prompting: giving AI the context it needs to succeed

  • Evaluating AI output: patterns that signal quality vs. red flags

  • Live demo: Debugging a complex codebase with AI assistance
     

Part 3 — Skills That Matter in an AI-Assisted World

  • Why system design and problem framing become more valuable

  • Building contextual knowledge that AI can't replace

  • Organizing teams around human-AI collaboration

  • Hands-on exercise: Participants apply techniques to a real coding challenge


Key Takeaways

  • Shift in Mindset: Understand the critical distinction between "vibe coding" and "agentic engineering".

  • Practical Frameworks: Leave with a methodology for integrating AI tools into your existing workflow without sacrificing rigor.

  • Maximized Velocity: Learn the best practices that allow Kilo engineers to move faster than traditional workflows allow.


Requirements: Laptop with VS Code or JetBrains IDE installed; familiarity with at least one programming language.

Time and Location

March 31, 2026
11:30pm - 12:30pm
Cobb Galleria

Workshop Requirements

  • AI practitioners and researchers. 

  • Developers seeking to transition into advanced agent-building roles. 

  • Organizations looking to implement custom AI solutions.

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