# Sedai: Resources Full content of 57 pages from https://sedai.io/resources. Each entry starts with the page title and its source URL. Every full-content file is listed in https://sedai.io/llms.txt. --- # How to Build AI Software like a Factory Source: https://sedai.io/resources/build-ai-software-factory Anoop Gopalakrishnan (VP of Engineering @ Guidewire) explains the Software AI Factory, his open source framework for running AI agents at scale. An AI agent wrote a Go program. Then Anoop Gopalakrishnan (VP of Engineering @ Guidewire) hit Ctrl+C and couldn't exit. The agent that wrote the code had also written the tests. In this episode of 1 IDEA, Suresh Mathew sits down with Anoop to talk through the Software AI Factory, his open source framework for running AI agents with guardrails at scale. We cover: - The five agent roles inside the Software AI Factory - Why the implementer agent should never touch the tests - When a deterministic gate beats an LLM review - Why more AI-generated PRs don't mean more releases --- # No-BS Career Advice for Engineers Source: https://sedai.io/resources/no-bs-career-advice-engineers James Duffy (Principal Engineer @ Fabric) explains how to build a personal brand that proves your impact as an engineer. Most of the conversations that shape your career happen behind closed doors, when you're not around. James Duffy (Principal Engineer @ Fabric) figured out how to get into those rooms by bringing other people in first. In this episode of 1 IDEA, Suresh Mathew sits down with James to unpack why your career has an NPS score and how to raise yours. We cover: - Getting into the rooms where decisions get made - Answering every recruiter, even when you're not looking - Treating your LinkedIn profile like SEO - Prompting AI as a recruiter to find what disqualifies you - Outgrowing your manager without burning the bridge --- # VP of AI: How to Get More Value from Claude Source: https://sedai.io/resources/vp-ai-get-more-value-from-claude Kinnar Vora is VP of AI at Forward Financing. He shares his favorite Claude workflows on this episode of 1 IDEA. Most AI rollouts fail the same way. Leadership picks the tool, sends the memo, and nobody uses it. Kinnar Vora (VP of AI @ Forward Financing) took the opposite path. He kept raising AI until his non-technical CEO proposed funding an AI lab himself. Four people, permission to fail, and one goal: if you even educate me, that is a win. It became company strategy. On this episode of 1 IDEA, Suresh Mathew sits down with Kinnar to unpack why personal AI workflows drive adoption faster than any top-down plan, and what happened to code review once his org started shipping 2.5x the code. We cover: - Why top-down AI mandates fail and peer sharing works - How to run AI projects when there is no roadmap to follow - Why AI code review became the real bottleneck - How to automate status reports from Jira, Confluence and GitHub - Why wander time matters more as AI removes the grunt work CHAPTERS [00:00](https://www.youtube.com/watch?v=Br02u_7c6R0) Introduction [00:48](https://www.youtube.com/watch?v=Br02u_7c6R0&t=48s) Convincing A Non-Technical CEO To Bet On AI [07:08](https://www.youtube.com/watch?v=Br02u_7c6R0&t=428s) Test And Learn: Running AI Projects Without A Roadmap [11:00](https://www.youtube.com/watch?v=Br02u_7c6R0&t=660s) AI Code Review Is The New Bottleneck [13:12](https://www.youtube.com/watch?v=Br02u_7c6R0&t=792s) Voice Plus AI: The Intelligence Layer [16:55](https://www.youtube.com/watch?v=Br02u_7c6R0&t=1015s&pp=0gcJCWMAwfN6Pr3D) Automating Status Reports With Jira And GitHub [19:01](https://www.youtube.com/watch?v=Br02u_7c6R0&t=1141s) Getting Non-Technical Teams To Buy In [25:59](https://www.youtube.com/watch?v=Br02u_7c6R0&t=1559s) Token Cost And The Phased Rollout [28:11](https://www.youtube.com/watch?v=Br02u_7c6R0&t=1691s) Focus Time, Wander Time, And Unplugging For A Week --- # How to Create AI Reports You Actually Trust Source: https://sedai.io/resources/create-ai-reports-you-trust Ask an AI tool the same question two weeks in a row and you might get two completely different answers. Anant Gupta (CTO @ Mixpanel) believes he's solved the metric hallucinating problem. Ask an AI tool the same question two weeks in a row and you might get two completely different answers. Anant Gupta (CTO @ Mixpanel) says that is not a model problem. It is an architecture problem. In this episode of 1 IDEA, Suresh Mathew sits down with Anant to unpack what happened when an agent told him Mixpanel had three times the users his own dashboard showed, and what has to sit between your data and your agent before you can trust the answer. We cover: - Why the right context outperforms a better model - How to make your most critical answers reproducible with code - Why AI agents should write the code instead of making the tool calls - Why AI usage is up while business impact stays flat CHAPTERS [00:00](https://www.youtube.com/watch?v=hChL37vt3IU) Introduction [01:04](https://www.youtube.com/watch?v=hChL37vt3IU&t=64s) The Agent That Gave The Wrong Number [03:10](https://www.youtube.com/watch?v=hChL37vt3IU&t=190s) A Context Problem, Not A Model Problem [04:50](https://www.youtube.com/watch?v=hChL37vt3IU&t=290s) Building The Context Engine [09:12](https://www.youtube.com/watch?v=hChL37vt3IU&t=552s) Why Reliability Is A Step Function [10:44](https://www.youtube.com/watch?v=hChL37vt3IU&t=644s) Giving Customers The Choice On AI [22:33](https://www.youtube.com/watch?v=hChL37vt3IU&t=1353s) Mixpanel Headless: Solving Determinism With Code [31:30](https://www.youtube.com/watch?v=hChL37vt3IU&t=1890s) Why AI Usage Is Up But Impact Is Not [39:56](https://www.youtube.com/watch?v=hChL37vt3IU&t=2396s) Verified Mode And Trusting Your Data --- # The ONLY Metric to Measure AIs' Impact On Engineering Source: https://sedai.io/resources/only-metric-measure-ais-impact-on-eng Salil Joshi, SVP Technology at Digital Remedy, on why the percentage of AI-written code is a vanity metric and the one number he tracks instead. --- # Why You.com’s CTO Thinks We’re Overbuilding AI Agents Source: https://sedai.io/resources/agent-orchestration-saahil-jain You.com CTO Saahil Jain on why heavy agent orchestration is a 2024-era mistake, and why value is moving off the harness and onto tools and data. --- # Sedai Proof of Value Source: https://sedai.io/resources/proof-of-value Our Proof of Value (POV) is a free, guided evaluation that will produce real savings & performance improvements across your cloud resources & AI agents --- # The Man Who Wrote the Book on Micro-Frontends Source: https://sedai.io/resources/micro-frontends-luca-mezzalira Luca Mezzalira, who literally wrote the book on micro-frontends, explains everything you need to know At DAZN, some devices could only get a new app version through a firmware flash. To get around that, Luca Mezzalira (Author of Building Micro-Frontends, fmr. Principal SA @ AWS) split the app's logic from its shell so the logic could update on its own, before micro-frontends even had a name. Eight years later, an engineer from that team said the architecture never changed. For his one idea, Luca breaks down how to draw micro-frontend boundaries that hold, and the mistake that quietly destroys them: sharing state. We cover: - Why micro-frontends are a distributed system, not a component library - Why the most expensive mistake is sharing state across micro-frontends - How to define micro-frontend boundaries that hold - How to use AI skill files to enforce micro-frontend governance automatically - When to skip micro-frontends and stay on a monolith - How to unwind micro-frontends into a monolith without a no rewrite Chapters: 00:00 Introduction 02:13 How Luca Built Micro-frontends Before They Had A Name 07:35 Why Complexity Moves From Code To Coordination 12:26 When To Stay On A Monolith 18:32 How to Contain Bugs To One Domain 23:02 The Most Expensive Micro-frontend Mistake 26:30 How DAZN Structured Teams Across 40 Devices 27:13 8 Years Without Redrawing A Micro-frontend Boundary 35:25 How to Unwind Micro-frontends Without A Rewrite --- # Sed Demo Video Source: https://sedai.io/resources/sed-demo-video Watch a few of the coolest things you can do with Sed, your cloud & AI assistant, in this short demo --- # Meet Sed: Your Cloud & AI Assistant Source: https://sedai.io/resources/meet-sed Sed is an AI assistant that answers questions & makes changes across your entire stack --- # How Expedia Rebuilt Its Platform for AI Agents Across 30k Repos Source: https://sedai.io/resources/how-expedia-rebuilt-platform-for-ai-agents Thanigai Vellore, VP of Engineering at Expedia, on rebuilding a developer platform for 30,000 repos when AI agents broke every internal tool built for humans. --- # Why Your AI Agents Keep Failing in Production Source: https://sedai.io/resources/why-your-ai-agents-keep-failing-in-production On this episode of 1 IDEA, Jason Li (CTO @ Laurel) breaks down how to separate deterministic and probabilistic systems, what that means for incident response, and why AI code generation just made code review the most important bottleneck in your pipeline. --- # Why AI Made Us Redesign Our Distributed System Source: https://sedai.io/resources/why-ai-made-us-redesign-distributed-system Sedai's VP of Engineering on re-architecting a distributed system to expect failure, moving fault tolerance to a central orchestrator so it recovers on its own. [Hari Chandrasekhar](https://www.linkedin.com/in/hari-chandrasekhar-8241ba7/) (VP of Engineering Core @ Sedai) spent years building Sedai's core data pipeline, the system that pulls billions of data points a minute from thousands of cloud resources. At that scale, failure is inevitable, so Hari redesigned the pipeline to handle it. On this episode of 1 IDEA, Hari breaks down: - The hub and spoke redesign that centralized retry decisions - How Sedai runs production jobs on spot instances - Why smaller components make AI code generation more accurate **CHAPTERS:** 00:00 Introduction 01:22 Why failure is inevitable at scale 06:20 What broke in the old architecture 11:22 Why smaller codebases make AI more accurate 12:05 The hub and spoke redesign 21:57 Running production jobs on spot instances 28:34 How to validate two systems at once 38:02 Where Sedai uses AI beyond coding 39:41 Prevent every failure vs. tolerate it --- # You're Debugging AI Failures the Wrong Way Source: https://sedai.io/resources/youre-debugging-ai-failures-wrong On this episode of 1 IDEA, Jason Li (CTO @ Laurel) shares his rule on what actually breaks AI in production and what to do about it. --- # AI Can't Fix Bad Data Source: https://sedai.io/resources/ai-cant-fix-bad-data-christian-monberg In this episode of 1 IDEA, Suresh Mathew sits down with Christian Monberg (CTO @ Zeta Global) to discuss what it actually takes to build AI systems that work in production. --- # Validate Your ML Training Data Before Production Does It for You Source: https://sedai.io/resources/validate-ml-training-date On this episode of 1 IDEA, Eugene Fratkin (VP of Engineering @ Salesforce) breaks down why ML training data fails in production and what to validate before you ship. --- # Why AI Isn't Actually Making Eng Teams Faster Source: https://sedai.io/resources/why-ai-isnt-making-eng-teams-faster In this episode of 1 IDEA, Suresh Mathew sits down with Sashanka Vishnuvajhala (SVP of Engineering @ Fanatics) to break down why and how he rebuilt the entire pipeline from spec to production. --- # Closing the FinOps Execution Gap Source: https://sedai.io/resources/finops-execution-gap A panel of world-leading FinOps pros explain how to close the gap between recommendation and execution. For FinOps leaders, it's easy to make recommendations. It's much harder to take action and save real dollars on cloud costs. So we assembled a panel of world-leading FinOps pros, to see how they close the gap between recommendation and execution. They explain why recommendations stall, how to get Engineering and FinOps on the same page, and how autonomous systems can make everyone's job easier. The Panel: —Dieter Matzion, Sr. Cloud Governance Engineer, Roku —Brendan Putek, Director of DevOps, Relay Network —Nikhil Kurup, SVP of engineering, Sedai --- # Sedai for Databricks Source: https://sedai.io/resources/sedai-for-databricks Sedai delivers autonomous, continuous optimization for Databricks, helping you reduce costs & improve performance. --- # Is Your CI/CD Pipeline Actually Working? Source: https://sedai.io/resources/cicd-pipeline-working Satya Singeetham (CTO @ New Horizon Bank) is a world-leading expert on CI/CD Pipelines. In this episode of 1 IDEA, he explains how to build a world-class CI/CD setup in 2026. --- # Why Your ML Training Data Fails in Production Source: https://sedai.io/resources/why-ml-training-data-fails-production On this episode of 1 IDEA, Suresh Mathew sits down with Eugene Fratkin (VP of Engineering @ Salesforce) to break down why ML training data fails in production and what to validate before you ship. --- # How 30 Years of Tech Prepared This CTO For AI Source: https://sedai.io/resources/how-30-years-tech-prepared-cto-ai-kevin-trilli On this episode of 1 IDEA, Suresh Mathew sits down with Kevin Trilli (CPTO @ FIS Amount) to unpack his playbook for getting ahead of technology transitions, like the AI era. Kevin Trilli has been through every major tech shift of the last 30 years. The pattern is always the same: good leaders see it coming and still move too slow. On this episode of 1 IDEA, Suresh Mathew sits down with Kevin Trilli (CPTO @ FIS Amount) to unpack his playbook for getting ahead of a technology transition before you're forced to, and what that means for engineering leaders navigating the AI era right now. We cover: - Why visibility doesn't translate to action during a tech shift - How to run a Pathfinder team alongside a live roadmap - How moving your eng org from AI experimentation to AI-first - Why your data layer is your biggest untapped AI advantage --- # The Startup Within A Startup Playbook Source: https://sedai.io/resources/startup-within-startup-playbook John Wang (Co-Founder @ Assembled) did what most companies talk about but rarely pull off: he spun up a four-person AI team inside an existing company, ran it like a YC startup, and hit millions in ARR in 18 months. But the board was angry, the org nearly split, and the sales team couldn't sell the product. --- # How We Solved the GPU Problem for Kubernetes Source: https://sedai.io/resources/how-solved-gpu-problem-kubernetes-pooja-malik We solved GPU optimization. In this episode of 1 IDEA, Suresh Mathew sits down with Pooja Malik, Distinguished Engineer at Sedai, to talk through how Sedai's engineering team built GPU optimization from scratch, why the standard metrics fail, and what's still unsolved. --- # How KnowBe4 Cut Infrastructure Costs with Sedai Source: https://sedai.io/resources/knowbe4-video-testimonial Learn how Sedai has saved KnowBe4 more than $1.2 million in cloud costs, while eliminating thousands of hours of engineering toil. --- # The 23-Minute Playbook for On-Prem Products Source: https://sedai.io/resources/23-minute-playbook-on-prem-products-gil-feig Gil Feig (CTO @ Merge) took on what everyone warned him not to: on-premises deployment. 18 weeks to first customer, and a support model that could sink the company. --- # The $5M ARR Mistake That Almost Split A Company Source: https://sedai.io/resources/5m-arr-mistake-almost-split-company-john-wang John Wang (Co-Founder @ Assembled) did what most companies talk about but rarely pull off: he spun up a four-person AI team inside an existing company, ran it like a YC startup, and hit millions in ARR in 18 months. But the board was angry, the org nearly split, and the sales team couldn't sell the product. --- # Optimize Your Cloud with Sedai Source: https://sedai.io/resources/sedai-platform-video Learn how Sedai safely lowers your cloud costs — with zero risk to performance. --- # How To Prepare For The Next AWS Outage Source: https://sedai.io/resources/how-to-prepare-for-next-aws-outage-preeti-somal In this episode of 1 IDEA, Suresh Mathew sits down with Preeti Somal (SVP of Engineering @ Temporal) to unpack how her team prepared for a failure they knew was coming and how other engineering leaders can do the same. --- # How Sedai Optimizes Google Cloud VMs & Storage Source: https://sedai.io/resources/sedai-google-cloud-vm-storage-demo A demo of how Sedai safely optimizes Google Cloud VMs & disks — so you can dramatically reduce your GCP costs. --- # How 4 Engineers Shipped AWS's Fastest Product Launch Source: https://sedai.io/resources/how-4-engineers-shipped-aws-fastest-product-launch-ashish-jha-1-idea Ashish Jha (now Director of Engineering @ Drata) built AWS Audit Manager — one of AWS's fastest-growing services ever — launching in 15 months with 1,000 customers turning it on in the first 24 hours. --- # How To Ship Features 83% Faster Source: https://sedai.io/resources/how-to-ship-83-faster-manish-mukherjee What happens when AI starts modifying production code faster than your design process can keep up? --- # How KnowBe4 Achieved ROI in 5 Months with Sedai Source: https://sedai.io/resources/knowbe4-roi-5-months-sedai KnowBe4, the leader in security training, used Sedai to achieve up to 50% savings on its Amazon ECS clusters in production. --- # How To Ship Features 83% Faster Source: https://sedai.io/resources/how-to-ship-features-83-percent-faster-manish-mukherjee-1-idea What happens when AI starts modifying production code faster than your design process can keep up? In this episode of 1 IDEA, Suresh Mathew sits down with Manish Mukherjee (VP of Engineering @ Cisco) to unpack a real scaling problem his team ran into after introducing AI into an existing codebase. What we cover: - Why AI speed breaks traditional “design as you build” workflows - What the team had to do to rework their design process - How those changes reduced feature delivery time from ~12 days to ~2 --- # Suresh Sangiah Testimonial Source: https://sedai.io/resources/suresh-sangiah-testimonial Suresh Sangiah, Senior Vice President of Palo Alto Networks, explains why Sedai is a critical part of the company's cloud strategy. --- # Suresh Mathew's keynote at autocon 25 Source: https://sedai.io/resources/suresh-mathew-keynote-autocon-25 CEO Suresh Mathew shares Sedai's big vision for the future of the cloud — including a sneak preview of our product roadmap. --- # how to take command of cloud costs Source: https://sedai.io/resources/take-command-cloud-costs Your cloud spend can spiral out of control when you’re relying on hundreds of applications and microservices. Here's how Capital One fights back. --- # executive strategy for the second cloud shift Source: https://sedai.io/resources/executive-strategy-second-cloud-shift The first shift was about migrating to the cloud. The second shift is about truly taking command of your cloud — by organizing chaos, fighting runaway costs, and optimizing performance. --- # clash of cultures: supporting a patchwork enterprise Source: https://sedai.io/resources/clash-of-cultures-supporting-a-patchwork-enterprise When teams join forces, the result is often chaos. Each group brings their own collection of systems, tools, & behaviors — a nightmare for engineers. --- # how McDonald’s created a digital-first customer experience Source: https://sedai.io/resources/mcdonalds-digital-first-customer-experience McDonald’s made the most ambitious digital transformation in the history of the restaurant business. Here's what their engineers learned about the cloud. --- # the final showdown: Engineering vs. FinOps Source: https://sedai.io/resources/showdown-engineering-vs-finops Engineering is shipping features at lightning speed. FinOps is guarding the company bank account with their lives. But can these rivals work together? --- # can we finally defeat the data beast? Source: https://sedai.io/resources/defeat-the-data-beast Pipelines are bloated. Warehouses are out of control. And Snowflake bills are making people sweat. In this panel, top engineering leaders explain how they're taking back control of data platforms. --- # how can engineers get promoted in the Age of AI? Source: https://sedai.io/resources/how-engineers-get-promoted-age-of-ai This panel discusses the fastest ways to advance your engineering career — including the most in-demand skills and strategies. --- # HP's big bet on the future of the cloud Source: https://sedai.io/resources/hp-big-bet-future-cloud HP is building the future of cloud-based work. But to do that, the company needs to solve the hardest challenges with managing the cloud at scale. --- # The 5 Levels of Cloud Autonomy Source: https://sedai.io/resources/5-levels-cloud-autonomy Learn the key differences between standard, automated, & autonomous cloud operations — and why they matter for your SLOs. --- # How Palo Alto Networks Saved $3.5M with Sedai's AI Agent Source: https://sedai.io/resources/how-palo-alto-networks-saved-sedai-agent See how Sedai's AI agent saved Palo Alto Networks $3.5M in Kubernetes optimization autonomously & safely. --- # The 5 AI Guardrails that Actually Worked | Rachit Lohani Source: https://sedai.io/resources/ai-guardrails-actually-worked Rachit Lohani (fmr. CTO @ Paylocity) breaks down why AI productivity metrics fail — and the guardrails that make AI actually useful. --- # The Bottleneck Test | Vinay Pereti Source: https://sedai.io/resources/bottleneck-test Vinay Perneti (VP of Eng at Augment) shares the Bottleneck Test: a framework for leaders to empower their teams when they become the blocker. --- # Minimum Lovable Product | Mohit Aron Source: https://sedai.io/resources/minimum-lovable-product Mohit Aron built 2 companies to $10B+ (Nutanix & Cohesity) by rejecting Silicon Valley's MVP obsession. He reveals why a "Minimum Lovable Product" beats an MVP every time. --- # The Runtime Trick Behind Salesforce's UI Overhaul | Kevin Hill Source: https://sedai.io/resources/runtime-trick-salesforce-ui-overhaul Kevin Hill, VP of Engineering @ Salesforce, shares how backing his team’s “impossible” ideas led to the one idea that unlocked Salesforce’s UI overhaul. --- # the cloud that can't afford to fail Source: https://sedai.io/resources/palo-alto-networks-cloud-optimization Suresh Sangiah, SVP of Engineering at Palo Alto Networks, explains how his team keeps its cloud resilient, always on, and with zero wasted costs. --- # Sedai Kubernetes Optimization Source: https://sedai.io/resources/kubernetes-optimization See how Sedai autonomously optimizes K8s — across EKS, AKS, GKE, and more. --- # Sedai for Google Cloud Source: https://sedai.io/resources/gcp-optimization Sedai delivers safe, autonomous optimization for GCP, including BigQuery and GKE. --- # Sedai for AWS Source: https://sedai.io/resources/aws-optimization Learn how Sedai optimizes AWS services, including compute, storage, data, & AI. --- # How Palo Alto Networks Takes Control of Its High-Stakes Cloud Source: https://sedai.io/resources/palo-alto-networks-case-study Learn how Palo Alto Networks dramatically reduced its cloud costs with Sedai --- # Sedai Platform Overview Source: https://sedai.io/resources/sedai-platform-datasheet See how Sedai's patented platform does cloud optimization, safely & autonomously. --- # The New Era of the Cloud Source: https://sedai.io/resources/new-era-of-the-cloud The world's top brands are using AI to build a better cloud. Look inside companies like Palo Alto Networks and HP — where the cloud is now driving itself.