Ci cd

What Is AI Code Refactoring? Agentic AI & Safe Code Changes

What Is AI Code Refactoring? Agentic AI & Safe Code Changes

This video explores AI code refactoring, differentiating between inline and autonomous agentic approaches. It highlights how AI can leverage pattern recognition for tasks like improving readability or reducing duplication, thereby addressing technical debt. A key focus is on the safety guardrails, detailing a multi-step, human-in-the-loop process involving planning, searching, reporting, human approval, patching, and verification through testing, ensuring AI-driven changes are safe for production and can integrate into CI/CD pipelines.

BDD, ADR, PRD, WTF: Capturing Decisions for Humans and AI Alike — Michal Cichra, Safe Intelligence

BDD, ADR, PRD, WTF: Capturing Decisions for Humans and AI Alike — Michal Cichra, Safe Intelligence

Michal Cichra from Safe Intelligence explains how to maintain consistency in AI-driven software development by capturing decisions and enforcing rules. He argues for reviving Behavior-Driven Development (BDD) with Cucumber to close the loop left by spec-driven development. The core idea is to enforce architectural and product decisions (ADRs, PRDs) through an automated loop of git hooks and CI, ensuring both human and AI developers adhere to established standards.

You're Shipping 10x More Bugs and Don't Know It

You're Shipping 10x More Bugs and Don't Know It

Evan Marshall, CTO of Ito AI, discusses how the rapid rise of AI-powered code generation is creating a critical bottleneck in software verification and QA. He explains Ito AI's approach of using AI agents for automated, runtime execution testing on every pull request to act as a force multiplier for developers and unblock enterprise teams.

CI/CD Is Dead, Agents Need Continuous Compute and Computers — Hugo Santos and Madison Faulkner

CI/CD Is Dead, Agents Need Continuous Compute and Computers — Hugo Santos and Madison Faulkner

Madison Faulkner and Hugo Santos explain why traditional CI/CD, built for human developers, is failing under the load of AI agents. They propose a new paradigm of 'Continuous Compute' centered on intent-driven agent loops, fast inline validation, and a pre-merge layer where humans review outcomes, not diffs, paving the way for a 'multiverse' of parallel development.

CI/CD Evolution: From Pipelines to AI-Powered DevOps • Olaf Molenveld & Julian Wood

CI/CD Evolution: From Pipelines to AI-Powered DevOps • Olaf Molenveld & Julian Wood

CircleCI's Olaf Molenveld and AWS's Julian Wood explore the evolution of CI/CD, drawing parallels between managing production code and the 'factory' that builds it. They cover the shift to microservices pipelines, optimization strategies, platform engineering trends, and how AI is set to reshape DevOps by acting as an expert system for developers.

Fundamentals of DevOps & Software Delivery • Yevgeniy "Jim" Brikman & Kief Morris

Fundamentals of DevOps & Software Delivery • Yevgeniy "Jim" Brikman & Kief Morris

Yevgeniy "Jim" Brikman, author of "Fundamentals of DevOps and Software Delivery," discusses his journey from app developer to DevOps advocate, triggered by LinkedIn's deployment crisis. The discussion with Kief Morris explores the practical definition of DevOps, the relationship between infrastructure as code and application orchestration, the necessity of frameworks over custom wrapper scripts, and emerging paradigms including infrastructure from code, infrastructure as graph models, and interactive runbooks.