Workshop

Beyond AI-Assisted Coding: Engineering the AI-Powered SDLC

Luis Vieira

Staff Software Engineer

Your team adopted AI. Why hasn’t delivery improved?

AI coding tools make implementation faster. But typing code is only one part of getting software safely from idea to production.

Teams still need to turn ambiguous requests into clear plans, understand how changes affect an existing system, verify that they are safe, and make sound decisions about what reaches production.

When code becomes cheap to produce, context, judgment, and verification become the limiting factors.

This is why faster coding does not automatically mean faster delivery. Improving one part of the workflow has limited impact when the rest of the system continues to create bottlenecks.

This workshop gives you a practical method for improving delivery with agents. You’ll learn to find the constraints slowing down your SDLC, design agents that can safely take on bounded work, and improve them over time using proof of work, feedback, and evals.

What you’ll learn

Learn how to find delivery constraints, design trustworthy agent workflows, and improve them through evidence, feedback, and evals.

  • Understand why faster code generation does not automatically mean faster delivery.

  • Identify how constraints shift to context, judgment, review, verification, and release decisions.

  • Recognize the engineer's role in specifying work, shaping workflows, and verifying outcomes.

  • Identify common constraints across planning, implementation, review, testing, release, and operations.

  • Decide where an agent can safely reduce waiting, rework, or uncertainty.

  • Define bounded workflows for use cases such as triage, code review, validation, release risk, and monitoring

  • Give agents the right context through repository rules, task information, and MCP-enabled tools.

  • Define permissions, execution boundaries, and clear paths for human escalation.

  • Require proof of work: evidence, checks performed, confidence, and next actions.

  • Use traces and failed runs to understand where a workflow breaks down.

  • Improve the right part of the harness: rules, skills, context, hooks, subagents, or tools.

  • Build a small eval set to measure whether changes make the workflow more reliable.

Workshop agenda

  • The AI Coding Plateau

    AI makes implementation faster, but not necessarily delivery. Learn why bottlenecks move elsewhere in the SDLC and how to identify the constraint limiting your team.

  • Agents Across the SDLC

    Explore common bottlenecks from planning to production. Learn where agents can safely help, where human judgment remains essential, and how to spot a worthwhile workflow.

  • Designing Trustworthy Agents

    Learn how to design an agent harness: context, tools, permissions, proof of work, verification, and human escalation paths.

  • Improving the Harness

    Use failed runs and traces to improve rules, skills, context, hooks, subagents, and evals. Ensure that agent workflows become more reliable through evidence, not guesswork.

Learn directly from Luis

Luis Vieira

Luis Vieira

Contact

Staff engineer

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Who this workshop is for

  • Software engineers using AI coding tools looking to improve their team SDLC

  • Tech leads and engineering managers who want to understand how to increase engineering output using AI

  • Engineering leaders who adopted AI tools but aren't seeing it in delivery speed or business outcomes and want to understand why and fix it

What's included

Luis Vieira

Live sessions

Learn directly from Luis Vieira in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

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Frequently asked questions

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Reimbursement

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Team discount

Learn with your teammates

Save 20%+ when 2 or more teammates enroll in the same cohort.

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Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

Book a private cohort

€300

EUR

Sep 26
·

5–8am EDT

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