ABOUT THIS EPISODE
Coding agents write code faster than ever, and the bottleneck in shipping software has moved to validating it. A 15-minute build gives an agent 4 feedback cycles an hour. A 5-minute build gives it 12.
Romain sits down with Dan Manges, co-founder and CEO of RWX and former CTO of Braintree and Root, to talk about what CI/CD looks like when agents are the main users, and how the rest of the software development lifecycle has to change with it.
Key topics covered: - Why traditional CI/CD pipelines slow down coding agents - Graph-based execution and content-based caching, compared to Docker's lineage-based caching - A CLI-first workflow: run CI against local changes without committing or pushing, and get a green PR check right away if the agent already ran it - Sandboxes for the agent's inner loop, MCP, semantic outputs, and retrying only the failed tests - Building RWX on AWS: a distributed container runtime with no image build and push, a hot pool of EC2 M8a instances, single-tenant VMs, and self-hosted runners in customer VPCs - Rethinking the SDLC from first principles: give agents the context to get it right, throw code away and fix AGENTS.md instead of iterating - Software factories for internal tools versus human review for mission-critical code - Turning large changes into reviewable work by building the whole change first, then extracting shippable pieces - Guardrails for agent-driven changes: CloudWatch, gradual rollouts and feature flags - Results: pipelines about 2x faster on average, and about 35% lower cost - Is infrastructure as code still necessary?
Chapters: 00:00 Rethinking engineering for AI agents 00:52 Meet Dan Manges and his engineering journey 02:59 Why traditional CI/CD becomes a bottleneck 05:34 Faster feedback loops for coding agents 08:02 Graph execution and content-based caching 13:19 A CLI-first, agent-native CI workflow 15:33 Unifying agent development and CI environments 17:45 Building RWX on AWS 21:33 Rethinking the SDLC for agents 24:33 When humans should review agent code 27:07 Giving agents the context to get it right 29:29 Sharing agent skills and team practices 35:50 Building software factories with agents 40:32 Turning large changes into reviewable work 46:20 Guardrails for safe agent-driven changes 48:06 Measuring CI speed, cost, and agent benefits 51:10 Signals your CI pipeline needs rethinking 54:02 Is infrastructure as code still necessary? 56:38 Closing thoughts and recommendationsWith Dan Manges, Co-founder and CEO of RWX
English
United States
TRANSCRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
SEARCH PAST EPISODES
Search past episodes of The AWS Developers Podcast.
OTHER EPISODES IN THIS PODCAST
Most MCP tools today return text. But what if your agent could render a chart, a form, or a full dashboard right inside the chat? That's what MCP apps do — and they're already live on ChatGPT, Claude, and Amazon Quick. Romain sits down with Luigi Pederzani, co-founder of Manufact (the company behin…
Brenn reached out via LinkedIn to share his experience with AI-driven software development and his new book, The Delivery Gap. Romain read a copy during a business trip and found it deeply aligned with how he guides customers through their AI transformation — and discovered a few new angles worth e…
Prime Video serves over 300 million monthly customers across 240+ territories and 8,000+ device types. Lilia Abaibourova leads the AI-native transformation there. Prime Video started early, adopting CodeWhisperer as soon as it became available in preview, progressing through Amazon Q Developer, and…
I keep hearing 'we're building an AI platform' from enterprises. Most are stitching together demos. Thomson Reuters has been doing AI for 30 years. I sat down with Laura Skylaki (VP AI Engineering, Thomson Reuters) at AWS Summit London — and the gap between what they're doing vs. what most companie…
John Sexton and Aaron Tummon from Genesys join the show to share hard-won lessons from building and operating Cloud Copilot — an agentic AI layer serving 2 million users across 21+ AWS regions. Genesys powers customer experience for brands like Virgin Atlantic, Vodafone, and HSBC, and their copilot…
Disclaimer: The podcast and artwork embedded on this page are from Amazon Web Services, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
EDIT
Thank you for helping to keep the podcast database up to date.