Ryan is joined by Secure Code Warrior’s co-founder and CTO Matias Madou to discuss the implications of LLMs’ variability on code security, the future of developer training as AI coding assistants become more popular, and the importance of critical thinking—especially for junior developers—in the age of AI.
Episode notes:
Secure Code Warrior upskills development teams to help companies stay protected against potential cybersecurity threats.
Today we’re digging into the Model Context Protocol, or MCP. Think LSP for AI: build a small Python service once and your tools and data show up across editors and agents like VS Code, Claude Code, and more. My guest, Den Delimarsky from Microsoft, helps build this space and will keep us honest about what’s solid versus what's just shiny. We’ll keep it practical: transports that actually work, guardrails you can trust, and a tiny server you could ship this week. By the end, you’ll have a clear mental model and a path to plug Python into the internet of agents.
Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) OpenAI CFO Sarah Friar's comments about a government backstop for its financing 2) Why these statements matter 3) Does OpenAI need financial discipline 4) Do we want to be the discipline police? 5) Should we build a national compute reserve? 6) Why OpenAI is getting so much scrutiny lately 7) OpenAI's ambitious financial plans 8) Elon's $1 trillion pay package gets approved 9) Amazon sues Perplexity 10) Ilya's deposition revealed 11) Farmer insights
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Suzanne Boyd, CEO of Anthro-Tech and a pioneer in human-centered design joins the show to share her journey from growing up in a family of entrepreneurs to founding Anthro-Tech in 1997, by blending her love of anthropology with technology to improve lives through thoughtful design. We unpack the evolution and institutionalization of human-centered design, its impact on government and private sector organizations, and the importance of inclusivity and accessibility from the start of any project.
Ryan welcomes Nic Benders to discuss the complexity and abstraction crisis in software development, the importance of going beyond observability into understandability, and demystifying AI's opacity for understanding and control.
Episode notes:
New Relic is a full-stack observability platform that helps engineers plan, build, deploy, and run software. Read their 2025 observability forecast.
Connect with Nic on Linkedin or email him at nic@newrelic.com.
Erez Druk grew up in Israel, but has been in the Bay Area for many years. He has a common theme in his life of obsessing over his current thing. In the 4th grade it was the saxophone, and later on it was being Israel's board game champion, and then - he became obsessed with startups. Outside of tech, he is married and expecting his first child. He's into exercising, reading and coffee. His favorite is going to a coffee shop with his wife, and having a cappuccino and a pastry - but at home, he leans towards his aeropress.
Eight years ago, Erez met his wife who was heading into medical school. He got to see first hand how folks in the healthcare system work, and how hard their jobs are. After wrapping up his prior startup, he started down the path of building a solution that improved the lives of these clinicians.
CodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.
M.G. Siegler of Spyglass is back for our monthly tech news discussion. Today we dig into OpenAI’s newly cleared path to an IPO, what trillion-scale capex vs. current revenue implies, and how Microsoft’s 27% stake, IP rights, and fresh AWS entanglements complicate the story. We debate whether the market can stomach years of heavy losses, why “AGI or bust” creates systemic risk, and what happens if model gains plateau, compute economics flip, or fast followers erase any AGI edge. Finally, we look at Apple’s iPhone 17 resurgence—why it’s hitting now and whether it’s enough without a breakthrough assistant. Tune in for a clear walkthrough of tech’s biggest news with one of the industry’s sharpest analysts.
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Today, we are another episode in our series, sponsored by our good friends at Railsware. Railsware is a leading product studio with two main focuses - services and products. They have created amazing products like Mailtrap, Coupler and TitanApps, while also partnering with teams like Calendly and Bright Bytes. They deliver amazing products, and have happy customers to prove it.
In this series, we are digging into the company's methods around product engineering and development. In particular, we will cover relevant topics to not only highlight their expertise, but to educate you on industry trends alongside their experience.
In today's episode, we are talking again with Sergiy Korolov, Co-CEO of Railsware and Co-founder of Mailtrap. In my conversation with Sergiy, we dive into how Railsware delivers value - not just features - by following their BRIDGeS framework, enabling their team to focus on value delivery.
Questions:
Railsware is proud of its product development approaches, so let’s pave the way to our topic through one of your prominent cases. In its early days, Calendly reached out to you to deliver their product – with a tight budget and a large set of requirements. You’ve said earlier that several of those initial expected features remained unfulfilled. This leads me to the question: to you, what's the difference between shipping features and delivering value, and why do so many product teams get this wrong?
You’ve been working on several client products, as well as on Railsware’s own. How do you identify what "value" actually means for different stakeholders?
Railsware is known for its BRIDGeS framework, a useful tool to bring the team on the same page and set the product process straight. Can you walk us through the BRIDGeS framework and how it helps teams focus on value delivery?
What role does user research and validation play in the BRIDGeS approach?
Can you share a specific example where applying BRIDGeS helped a team pivot from building the wrong features to delivering real value?
What's the biggest challenge teams face when transitioning from feature delivery to value delivery?
Mrinal Wadhwa grew up in India with a Dad in the Armed Forces, so he moved around a lot. His mother was a teacher for 40+ years, and greatly influenced his love for teaching. In addition to this, he grew up loving to build things. He was introduced to computers and the internet by his cousin - and at that point he was hooked. Outside of tech, he is married and enjoys attending concerts in the Bay Area. He plays pool, very seriously. In fact, he is the guy carrying the little bag into a party with his own pool stick.
Mrinal is one of the minds behind Okham, a popular open source Rust toolkit to build secure communications between applications. Late last year, he observed people desiring to build the layer between agent communications... and decided to build something to do it the right way.
CodeCrafters helps you become a better engineer by building real-world, production-grade projects. Learn hands-on by creating your own Git, Redis, HTTP server, SQLite, or DNS server from scratch. Sign up for free today using this link and enjoy 40% off.
Ryan is joined by Greg Foster, CTO of Graphite, to explore how much we should trust AI-generated code to be secure, the importance of tooling in ensuring code security whether it’s AI-assisted or not, and the need for context and readability for humans in AI code.
Episode notes:
Graphite is an AI code review platform that helps you get context on code changes, fix CI failures, and improve your PRs right from your PR page.
Connect with Greg on LinkedIn and keep up with Graphite on their Twitter.
