『Tech Lead Journal』のカバーアート

Tech Lead Journal

Tech Lead Journal

著者： Henry Suryawirawan
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概要

 Great technical leadership requires more than just great coding skills. It requires a variety of other skills that are not well-defined, and they are not something that we can fully learn in any school or book. Hear from experienced technical leaders sharing their journey and philosophy for building great technical teams and achieving technical excellence. Find out what makes them great and how to apply those lessons to your work and team.Henry Suryawirawan
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  • Design the System, Not the Hero: Building Trust in the AI Era

    Design the System, Not the Hero: Building Trust in the AI Era
    2026/03/16
    In a world where AI can build your MVP overnight, what actually gives you a lasting competitive edge? Andrew Stevens argues it’s not the software — it’s the data, the trust, and the systems you build around them.In this episode, Andrew Stevens, CTO of Sakura Sky and a technology leader with 30+ years of experience building, scaling, and selling companies, shares hard-won lessons from his journey across startups, enterprises, and AI ventures. He explains why product-market fit matters more than shipping fast, why data outlasts software as a competitive moat, and how leaders must design systems that don’t depend on their own heroics. Andrew also shares how a near-fatal accident reshaped his thinking on resilience, delegation, and what it truly means to build something that scales. From hiring for attitude over technical skill to building AI governance that accelerates rather than blocks innovation, this conversation is packed with practical wisdom for anyone leading in the AI era.Key topics discussed:Why data — not software — is your real moat in the AI eraWhat breaks when a startup scales past 10–100 peopleHow to make decision rights explicit to move fasterDesign the system, not the hero: building beyond youHiring for resilience and attitude over technical skillHow governance can speed up AI adoption, not slow it downWhat trustworthy AI agents actually requireTimestamps:(00:00) Trailer & Intro(02:45) What Breaks When You Scale a Startup From Zero to 100 People?(08:44) Why Is Product-Market Fit More Important Than Building an MVP?(17:20) How Do You Build a Lasting Moat in the AI Era?(21:29) Why Must Leaders Learn to Let Go to Scale?(23:27) What Can Leaders Learn From a Near-Fatal Motorcycle Accident?(26:29) How Do Technical Leaders Stay Hands-On Without Becoming a Bottleneck?(31:32) Why Should You Hire for Resilience Over Technical Skill?(34:56) How Do You Build a Team That Innovates Safely in the AI Era?(41:12) How Do You Build AI Governance That Speeds Up Innovation?(47:37) Are AI-Driven Layoffs Justified or Just an Excuse?(52:06) How Do You Build Trustworthy AI Agents?(59:34) 3 Tech Lead Wisdom_____Andrew Stevens’s BioAndrew Stevens, CTO of Sakura Sky, is an executive leader and hands-on technologist who has scaled AI and cloud ventures from idea to acquisition. Based between Europe and the US, he blends deep expertise in cloud architecture, machine learning, and security with a track record in fintech, media, gaming, and AI.Known for making complex tech relatable - often with pop-culture twists - Andrew brings sharp insights on AI guardrails, infrastructure resilience, and the creative edge humans hold in an AI-driven world. Whether advising founders, investing in early-stage startups, or speaking on global stages, Andrew helps audiences cut through the hype and focus on what matters most.Follow Andrew:LinkedIn – linkedin.com/in/andrewjstevensSakura Sky – sakurasky.com The Executive AI Playbook – https://www.sakurasky.com/white-papers/ai-playbook/ Executive White Papers & Frameworks – https://whitepaper.download/Like this episode?Show notes & transcript: techleadjournal.dev/episodes/251.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.
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    1 時間 4 分
  • Why Coding Alone Is No Longer Enough: Become A Product-Minded Engineer

    Why Coding Alone Is No Longer Enough: Become A Product-Minded Engineer
    2026/03/09
    With AI generating code faster than ever, coding alone is no longer enough. The engineers who will stand out aren’t the ones who write the most code, but the ones who know what to build and why.In this episode, Drew Hoskins, author of “The Product-Minded Engineer”, shares how engineers can develop the product thinking skills that will define their careers in the AI era. Drew draws on his experience as a senior staff engineer at Microsoft, Meta, and Stripe to explain why the best engineers care as much about the what and why as the how. He introduces the Double Diamond Framework (Discover, Define, Develop, Deliver) and calls out why most engineers make the mistake of jumping straight to the Develop phase. He also explains the concept of the “great re-indexing”: the mental shift required to switch between thinking like an engineer and thinking like a user. As AI takes over more of the routine coding work, Drew argues that product skills, people skills, and ownership skills are what will separate good engineers from truly impactful ones.Key topics discussed:What makes an engineer “product-minded”Why engineers skip Discovery and what it costs themThe Double Diamond: a framework for building the right thingHow to think in user scenarios, not just system diagramsThe “great re-indexing” between engineer and user thinkingWhy discoverability can 10x your feature’s impact for little costHow AI is making product skills more valuable, not lessWhat junior engineers should focus on to stay relevantTimestamps:(00:00) Trailer & Intro(02:35) What Is a Product-Minded Engineer?(05:37) What Did Drew Learn Working at Microsoft, Meta, and Stripe?(14:13) What Are the Biggest Challenges When Switching from Engineering to Product Management?(16:33) What Skill Gaps Hold Engineers Back from Product Thinking?(20:56) How Do You Bridge the Communication Gap Between Engineers and PMs?(26:07) What Are The Four Pillars (Double Diamond Framework)?(29:43) Why Should Engineers Care About the Deliver Phase?(32:40) How Should Engineers Apply the Double Diamond Framework Day-to-Day?(36:15) How Is AI Reshaping the Role of Product Engineers?(40:06) Should Product Managers Learn to Code in the AI Era?(43:56) What Is the Right PM-to-Engineer Ratio in the AI Era?(45:48) How Should Engineering Leaders Respond to AI Productivity Pressure?(51:04) What Advice Would You Give Junior Engineers Entering the Industry Today?(55:17) What Other Topics Does the Product-Minded Engineer Book Cover?(57:03) 3 Tech Lead Wisdom_____Drew Hoskins’s BioDrew Hoskins blends product, engineering, and storytelling in his work and writing. He is the author of The Product-Minded Engineer. As an engineer, Drew has helped design and build a wide range of innovative products and platforms for Microsoft, Meta, and Stripe.Throughout his career, he has carried a passion for empowering developers. He’s founded and led several teams to major successes with developer platforms that have withstood the test of time. He’s currently a Staff Product Manager at Temporal Technologies, bringing durable execution to the masses.He is an expert bridge player, having won a North American Championship in 2025, and lives in the beautiful and nerdy San Francisco Bay Area.Follow Drew:LinkedIn – linkedin.com/in/drewhoskins2Newsletter – drewhoskins.substack.com Product-Minded Engineer - https://www.oreilly.com/library/view/the-product-minded-engineer/9781098173722/One-Page Bio – drewhoskins.carrd.coLike this episode?Show notes & transcript: techleadjournal.dev/episodes/250.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.
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    1 時間 3 分
  • The MCP Security Risks You Can't Afford to Ignore

    The MCP Security Risks You Can't Afford to Ignore
    2026/03/02

    What if the MCP server you installed last week is silently leaking your emails to a stranger? The AI tools boosting your productivity could already be your biggest security liability.

    MCP (Model Context Protocol) has quickly become the standard for connecting AI agents to external tools and data sources. But as adoption accelerates, so do the risks – from malicious servers harvesting your credentials in the background, to local processes exposed to your entire network with no authentication. Most developers install MCP servers without fully understanding what code is running or who wrote it, creating serious supply chain and shadow IT problems inside organizations.

    In this episode, Ariel Shiftan, CTO of MCPTotal, explains how MCP actually works, why there is a wide gap between its original design and how it is used in practice, and what that gap means for security. He also walks through real zero-days his team has discovered and shares practical advice for developers and enterprise leaders trying to adopt MCP without compromising their security posture.

    Key topics discussed:

    • What MCP is and why it won the “USB for AI” race
    • Why most MCP servers are just API wrappers done wrong
    • Real zero-days found in popular, widely used MCPs
    • How malicious MCPs can silently leak your credentials
    • The supply chain risks hiding inside your dev toolchain
    • Why banning MCP in your org is the wrong move
    • Best practices for writing well-designed MCP servers
    • Why agent permission prompts need better security defaults

    Timestamps:

    • (00:00:00) Trailer & Intro
    • (00:02:49) What Is MCP and Why Is It Called the USB for AI?
    • (00:07:22) How Does MCP Differ from Standard REST APIs?
    • (00:13:40) What Can AI Agents Do with MCP Beyond Reading Data?
    • (00:16:56) What Is RAG and How Did AI Evolve to Tool Calling?
    • (00:19:54) Why Is MCP Misused as an API Catalog and What Does That Cost?
    • (00:25:04) What Are AI Skills and How Do They Compare to MCP?
    • (00:30:29) How Does MCP Server Architecture Work Under the Hood?
    • (00:37:01) How Do Malicious and Vulnerable MCP Servers Put Organizations at Risk?
    • (00:45:30) What Real-World MCP Vulnerabilities and Zero-Days Have Been Found?
    • (00:50:30) How Should Enterprises Enable MCP Adoption Without Compromising Security?
    • (00:53:16) What Are Best Practices for Writing a Well-Designed MCP Server?
    • (00:59:14) How Should AI Agents Handle Permissions Without Overwhelming Users?
    • (01:05:26) 3 Tech Lead Wisdom

    _____

    Ariel Shiftan’s Bio
    Ariel is a software engineer and security expert with more than 20 years of hands-on and executive leadership experience across cybersecurity, distributed systems, and AI infrastructure. He holds a PhD in Computer Science, specializing in advanced algorithms and systems. Earlier in his career, Ariel founded NorthBit, a deep-tech cybersecurity firm that was acquired by Magic Leap in 2016, where he led product security globally, overseeing the security lifecycle across more than 700 engineers. He has also led applied AI breakthroughs, including heading an XPRIZE-winning team that used deep learning to fight malaria in Africa.

    Follow Ariel:

    • LinkedIn – linkedin.com/in/shiftan
    • MCPTotal’s Website – mcptotal.io


    Like this episode?
    Show notes & transcript: techleadjournal.dev/episodes/249.
    Follow @techleadjournal on LinkedIn, Twitter, and Instagram.
    Buy me a coffee or become a patron.
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    1 時間 12 分
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