Tech Lead Journal

Henry Suryawirawan
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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.

  1. #236 - From Figma to Code: The Rise of Design Engineers (And Why It Matters Now) - Honey Mittal

    2 NGÀY TRƯỚC

    #236 - From Figma to Code: The Rise of Design Engineers (And Why It Matters Now) - Honey Mittal

    In this episode, Honey Mittal, CEO and co-founder of Locofy.ai, explores one of the most exciting transformations in software development: the convergence of design and engineering through AI-powered automation. Honey shares the fascinating journey of building Locofy, a tool that converts Figma designs into production-ready front-end code. But this isn’t just another AI hype story. It’s a deep dive into why Large Language Models (LLMs) fundamentally can’t solve design-to-code problems, and why his team spent four years building specialized “Large Design Models” from scratch. Key topics discussed: Why 60-70% of engineering time goes to front-end UI code (and how to automate it)The technical limitations of LLMs for visual design understandingHow proper design structure is the key to successful code generationThe emergence of “design engineers” who bridge design and developmentLessons from pivoting from consumer to enterprise SaaSBuilding global developer tools from Southeast AsiaThe real challenges of building deep tech startups in Southeast AsiaCareer advice for staying relevant in the AI eraWhether you’re a front-end engineer tired of translating design pixel-by-pixel, a designer curious about coding, or a technical leader evaluating AI development tools, this episode offers practical insights into the future of software development. Timestamps: (00:00:00) Trailer & Intro(00:02:13) Career Turning Points(00:05:28) Transition from Developers to Product Management(00:09:53) The Key Product Lessons from Working at Major Startups(00:14:12) Learnings from Locofy Product Pivot Journey(00:19:36) An Introduction to Locofy(00:22:40) The Story Behind The “Locofy” Name(00:23:27) How Locofy Generates Pixel Perfect & Accurate Codex(00:28:01) Why Locofy Pivoted to Focus on Enterprises(00:29:39) The Locofy’s Code Generation Process(00:32:13) Why Locofy Built Its Own Large Design Model(00:39:25) Locofy Integration with Existing Development Tools(00:42:44) LLM Strengths and Weaknesses(00:48:47) Other Challenges Building Locofy(00:50:59) The Future of Design & Engineering(00:58:35) The Future of AI-Assisted Development Tools(01:02:53) There is No AI Moat(01:04:37) The Potential of SEA Talents Solving Global Problems(01:08:14) The Challenges of Building Dev Tools in SEA(01:10:39) The Challenges of Being a Fully Remote Company in SEA(01:14:36) Locofy Traction and ARR(01:18:09) 3 Tech Lead Wisdom_____ Honey Mittal’s BioHoney Mittal is the CEO and co-founder of Locofy.ai, a platform that automates front-end development by converting designs into production-ready code. Originally an engineer who built some of the first mobile apps in Singapore, Honey transitioned into product leadership after realizing his natural strength lay in identifying high-impact problems. He set a goal to become a CPO by 30 and achieved it, leading product transformations at major Southeast Asian scale-ups like Wego, FinAccel, and Homage. Driven by a decade of experience and the “grunt work” he and his co-founder faced, he started Locofy to solve the costly friction between design and engineering. Honey is passionate about the future of AI in development, the rise of the “Design Engineer”, and proving that globally competitive, deep-tech companies can be built from Southeast Asia. Follow Honey: LinkedIn – linkedin.com/in/honeymittalTwitter – x.com/HoneyMittal07Website – locofy.ai Like this episode?Show notes & transcript: techleadjournal.dev/episodes/236.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

    1 giờ 25 phút
  2. #235 - From AI Chaos to Clarity: Building Situational Awareness with Wardley Mapping - Simon Wardley

    13 THG 10

    #235 - From AI Chaos to Clarity: Building Situational Awareness with Wardley Mapping - Simon Wardley

    Can you navigate AI disruption without understanding your landscape? Discover how to gain true situational awareness. The rise of AI has exposed a fundamental problem in how organizations make decisions. Most leaders operate using stories and graphs, not actual maps of their landscape. This leaves them vulnerable to disruption and unable to make informed choices about where to apply new technologies. The result is chaos, waste, and strategic mistakes that could have been avoided. In this episode, Simon Wardley, creator of Wardley Mapping, explains how to build true situational awareness in your organization. He shares why most business “maps” aren’t really maps at all, how to understand the landscape before making decisions, and what leaders need to know about AI adoption beyond the current hype. Key topics discussed: Why leading with stories instead of maps creates fake CEOsThe critical difference between graphs and maps in business strategyWhat Wardley mapping is and the three pattern types leaders must understandHow to identify where human decision-making adds value in your AI adoptionWhy vibe coding is powerful but dangerous without proper code reviewsWhy software development is still a craft, not engineeringHow Jevons Paradox means AI won’t eliminate jobs but expand codebasesThe hidden dangers of AI hallucinations and the need for critical thinkingTimestamps: (00:00:00) Trailer & Intro(00:02:59) Career Turning Points(00:06:45) Importance of Understanding Landscape for Leaders(00:10:42) The Problem of Leading with Stories(00:12:49) Wardley Maps vs Other Types of Business Maps/Analysis(00:17:32) Wardley Map Overview(00:23:54) Why Mapping is Not a Common Industry Practice(00:26:23) Climatic Patterns, Doctrines, and Gameplay(00:30:51) Understanding Disruption by Using a Map(00:33:17) Navigating the Recent AI Disruption(00:39:37) A Leader’s Guide to Adopting AI(00:42:49) Turning Coding From a Craft Into Engineering(00:48:05) Simon’s AI & Vibe Coding Experiments(00:55:28) The Importance of Critical Thinking for Software Engineers(01:03:49) Navigating Career Anxiety Due to AI Fear(01:08:56) Tech Lead Wisdom_____ Simon Wardley’s BioSimon Wardley is a researcher, former CEO, and the creator of Wardley Mapping, a powerful method for visualizing and developing business strategy. His journey began accidentally after a bookseller recommended Sun Tzu’s The Art of War, which sparked a fascination with understanding the competitive “landscape.” As the former CEO of an online photo service acquired by Canon, he felt like a “fake CEO,” leading with stories while lacking true situational awareness. This led him to discover that almost all business “maps” were merely graphs, prompting him to develop his own mapping technique. Today, his work is used by organizations like NASA and taught at multiple MBA programs, helping leaders to “look before they leap” and navigate complex technological and market shifts, including the current disruption caused by AI. Follow Simon: LinkedIn – linkedin.com/in/simonwardleyTwitter – x.com/swardleyWebsite – www.swardleymaps.com Like this episode?Show notes & transcript: techleadjournal.dev/episodes/235.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

    1 giờ 11 phút
  3. #234 - Building for Reliability: Durable Execution & Insights from Temporal's Report - Preeti Somal

    6 THG 10

    #234 - Building for Reliability: Durable Execution & Insights from Temporal's Report - Preeti Somal

    How much of your code exists only to prevent failures? Discover a new paradigm for building reliable applications. In this episode, Preeti Somal, SVP at Temporal, explores a paradigm shift that can dramatically boost productivity and give developers peace of mind. Drawing on her experience leading massive infrastructure at Yahoo and HashiCorp, she explains Temporal’s concept of durable execution that helps developers focus on business logic and remove reliability concerns. Preeti also discusses key findings from Temporal’s first State of Development Report. In this episode, you will learn about: Lessons from operating large-scale systems at Yahoo and HashiCorpWhy reliability ranks higher than cost for most engineering teamsHow durable execution removes reliability complexity from developer concernsWhy unlearning old patterns proves harder than learning Temporal’s modelCreating a strong incident response culture through blameless post-mortemNurturing psychological safety in infrastructure teams and on-call engineersBuilding security and compliance from day one versus retrofitting laterTimestamps: (00:00) Trailer & Intro(02:20) Career Turning Points(04:43) Key Learnings from Operating Large Scale Infrastructure(07:56) Key Learnings on Platform Engineering(09:59) Key Learnings on Maintaining High Reliability(12:02) Key Highlights Working at HashiCorp(13:52) Running Infra as Code using Temporal(15:28) Key Principles for Managing a Strong Incident Response(18:37) The Importance of Nurturing Psychological Safety within Infra Team(21:13) The Temporal’s State of Development Report(22:39) The State of AI Usage & Adoption(23:54) Using Temporal for Building AI Applications(26:06) The Complexities Involved in Building AI Applications(28:51) Key Learnings from Temporal’s State of Development Report(31:03) The Choice of Developer Tooling Misalignment(33:12) Integrating Security, Compliance, and Cost into Your Engineering Mindset(33:39) Building with Security and Compliance-First Mindset(36:57) Temporal Paradigm Shift(39:14) How Temporal Hides Away The Complexities of Building Reliable Applications(42:47) Unlearning Required for Using Temporal Programming Model(46:33) Getting Started Building with Temporal(48:34) Temporal’s Durable Execution Guarantee(51:23) The Concern About Temporal Lock-In(54:09) Temporal’s Strong Developer Focus(56:16) The Compliance and Security Aspect of Temporal Cloud(58:41) 3 Tech Lead Wisdom_____ Preeti Somal’s BioPreeti is Senior Vice President of Engineering at Temporal. Preeti is passionate about building great products, growing world class organizations and solving complex problems. Prior to Temporal, Preeti led the Platform, Security and IT engineering organizations at HashiCorp. Her extensive career includes engineering leadership roles at Yahoo!, VMware and Oracle. While at Yahoo! Preeti was VP of Cloud Services in the Platform organization delivering highly scalable services used by engineers across Yahoo to build and operate applications with improved agility, reliability and security. These services power Yahoo!’s consumer and advertising business. Follow Preeti: LinkedIn – linkedin.com/in/preeti-somal-131890Twitter – x.com/psomal📖 Temporal’s State of Development Report 2025 – temporal.io/pages/state-of-development-2025 Like this episode?Show notes & transcript: techleadjournal.dev/episodes/234.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

    1 giờ 2 phút
  4. #233 - Data Beats Hype: Measuring Your AI Adoption Impact - Laura Tacho

    29 THG 9

    #233 - Data Beats Hype: Measuring Your AI Adoption Impact - Laura Tacho

    “Engineering leaders are stuck between the expectations put out by sensational headlines and the reality of what they’re seeing in their organization. There’s a big disappointment gap.” Is your AI investment paying off? Many leaders struggle to see real ROI beyond the hype. In this episode, Laura Tacho, CTO of DX, shares DX’s new research on measuring AI adoption success across 38,000+ engineers. Our conversation reveals why acceptance rates are misleading metrics and introduces DX’s new AI Measurement Framework™ with its three critical dimensions: utilization, impact, and cost. Learn why treating AI as an organizational problem closes the “disappointment gap” between hype and reality. Note: This episode was recorded in July 2025. The AI adoption rate mentioned has since risen to nearly 80%. In this episode, you will learn about: The “Disappointment Gap” between AI hype and realityWhy the popular “acceptance rate” metric is misleadingThe DX AI Measurement Framework™ and its three dimensionsThe top time-saving AI use case (it’s not code generation!)How AI impacts long-term software quality and maintainabilityWhy organizational readiness matters for successful AI adoptionThe bigger bottlenecks beyond coding that AI has not yet solvedTreating AI agents as team extensions, not digital employeesTimestamps: (00:00:00) Trailer & Intro(00:02:32) Latest DX Research on AI Adoption(00:03:54) AI Role on Developer Experience(00:05:43) The Current AI Adoption Rate in the Industry(00:09:27) The Leader’s Challenges Against Al Hype(00:13:22) Measuring AI Adoption ROI Using Acceptance Rate(00:17:39) The DX AI Measurement Framework™(00:23:05) AI Measurement Framework: Utility Dimension(00:27:51) DX AI Code Metrics(00:30:31) AI Measurement Framework: Impact Dimension(00:32:57) The Importance of Measuring Productivity Holistically(00:35:54) AI Measurement Framework: Cost Dimension(00:38:34) AI Second Order Impact on Software Quality and Maintainability(00:42:38) The Danger of Vibe Coding(00:46:31) Treating AI as Extensions of Teams(00:52:31) The Bigger Bottlenecks to Solve Outside of AI Adoption(00:55:47) DX Guide to AI-Assisted Engineering(01:00:38) Being Deliberate for a Successful AI Rollout(01:02:32) 3 Tech Lead Wisdom_____ Laura Tacho’s BioLaura Tacho is CTO at DX, a developer intelligence platform, co-author of the Core 4 developer productivity metrics framework, and an executive coach. She’s an experienced technology leader and engineering leadership coach with a strong background in developer tools and distributed systems. Her career includes leadership roles at organizations such as CloudBees, Aula Education, and Nova Credit, where she specialized in building high-performing engineering teams and delivering impactful products. Laura has worked with thousands of engineering leaders as they work to improve their engineering practices with data. Follow Laura: LinkedIn – linkedin.com/in/lauratachoTwitter – x.com/rhein_weinWebsite – lauratacho.com AI Measurement Framework – getdx.com/whitepaper/ai-measurement-framework/?utm_source=techleadjournal Guide to AI-Assisted Engineering – getdx.com/guide/ai-assisted-engineering/?utm_source=techleadjournalAI code metrics – getdx.com/ai-code-metrics Like this episode?Show notes & transcript: techleadjournal.dev/episodes/233.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

    1 giờ 7 phút
  5. #232 - Hibernate Creator on Why Developers Hate ORM (And How We're Fixing It) - Gavin King

    22 THG 9

    #232 - Hibernate Creator on Why Developers Hate ORM (And How We're Fixing It) - Gavin King

    “Architecture is something that has to emerge naturally from the code. If it doesn’t make the code better, more elegant, and more flexible, then you should not be doing it.” Why do so many developers have a love-hate relationship with ORM? The creator of Hibernate reveals the real reasons behind the controversy and what’s being done to fix the fundamental issues. In this episode, Gavin King, the creator of Hibernate, shares the story behind its creation, from a debate with his boss to its rise as a popular open-source. He dives deep into why developers often dislike ORM, pinpointing the “magic” of the stateful persistence context as a major pain point. Gavin explains how modern specifications are fixing these historical issues with an emphasis on type safety and more explicit, stateless operations, giving developers greater control. Key topics discussed: The origin story of Hibernate and the early frustrations with Java EEThe single biggest mistake that led some developers to hate ORMWhy type safety matters and how the new Jakarta specifications enable type-safe queriesWhy architecture should emerge from code, not from whiteboard diagramsA critique on industry dogmas and architecture best practices, including DDD aggregatesWhy disagreement is essential for healthy engineering teamsTimestamps: (00:00:00) Trailer & Intro(00:02:24) Career Turning Points(00:16:11) The Problems That Led to Hibernate Creation(00:24:22) Key Things That Make Hibernate Successful(00:31:57) Behind the Scene of Java EE Specifications(00:37:42) The Renaming of Java EE to Jakarta EE(00:40:15) Jakarta Persistence, Jakarta Data, Jakarta Query Language(00:47:20) The Importance of Type Safety(00:54:08) Why Some People Dislike ORM(01:00:47) The Fundamental of Data Fetching and Association(01:08:52) The Upcoming Jakarta Data and QL Updates(01:16:06) Gavin’s View on Software Architecture(01:26:08) The DDD from Gavin’s Perspective(01:30:55) Tech Lead Wisdom_____ Gavin King’s Bio Gavin King is the creator of Hibernate, the revolutionary framework that redefined data persistence for millions of Java developers. A key figure in the evolution of enterprise Java, he has led the development of major industry standards like the Java Persistence API (JPA) and CDI. After a decade designing the Ceylon programming language, he has returned to his roots to advance the next generation of data persistence with Jakarta EE. Follow Gavin: LinkedIn – linkedin.com/in/gavinkingTwitter – x.com/1ovthafewWebsite – hibernate.org Like this episode? Show notes & transcript: techleadjournal.dev/episodes/232. Follow @techleadjournal on LinkedIn, Twitter, and Instagram. Buy me a coffee or become a patron.

    1 giờ 35 phút
  6. #231 - Faster Code Reviews, Faster Code Shipping with Stacked PRs - Greg Foster

    1 THG 9

    #231 - Faster Code Reviews, Faster Code Shipping with Stacked PRs - Greg Foster

    Are long code review cycles killing your engineering team’s velocity? Learn how top engineering teams are shipping code faster without sacrificing quality. In this episode, Greg Foster, CTO and co-founder of Graphite, discusses the evolution of code review practices, from the fundamentals of pull requests to the future of AI in code review workflows. He shares the secrets behind how the Graphite team became one of the most productive engineering teams by leveraging techniques like small code changes and stacked PRs (pull requests). Key topics discussed: The evolution of code review from bug-hunting to knowledge sharingBest practices for PRs and why small PRs get better feedbackHow stacked PRs eliminate waiting time in development workflowsThe rise of AI in the code review processWhy AI code review works best as an automated CI checkHow Graphite achieves P99 engineering productivityHiring engineers in the age of AI-assisted codingTimestamps: (00:00) Trailer & Intro(02:21) Career Turning Points(05:11) Now is The Golden Time to Be in Software Engineering(09:08) The Evolution of Code Review in Software Development(14:59) The Popularity of Pull Request Workflow(21:01) Pull Request Best Practices(26:17) The Stacked PR and Its Benefits(34:07) How Graphite Ships Code Remarkably Fast(40:03) The Cool Things About AI Code Review(45:23) Graphite’s Unique Recipes for Engineering Productivity(50:55) Hiring Engineers in the Age of AI(55:31) 2 Tech Lead Wisdom_____ Greg Foster’s BioGreg Foster is the CTO and co-founder of Graphite, an a16z and Anthropic-backed company helping teams like Snowflake, Figma, and Perplexity ship faster and scale AI-generated code with confidence. Prior to Graphite, Greg was a dev tools engineer at Airbnb. There, he experienced the impact of robust internal tooling on developer velocity and co-founded Graphite to bring powerful, AI-powered code review to every team. Greg holds a BS in Computer Science from Harvard University. Follow Greg: LinkedIn – linkedin.com/in/gregmfosterX – x.com/gregmfosterEmail – greg@graphite.devGraphite – graphite.devGraphite X – x.com/withgraphite Like this episode?Show notes & transcript: techleadjournal.dev/episodes/231.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

    1 giờ 1 phút
  7. #230 - Technical Coaching in the Age of AI with Samman (Ensemble) - Emily Bache

    25 THG 8

    #230 - Technical Coaching in the Age of AI with Samman (Ensemble) - Emily Bache

    Struggling with technical debt and code quality? Learn how a technical coach can help your team level up. In this episode, Emily Bache, a Samman technical coach, shares her proven method for building better engineering teams through structured learning and collaborative coding. We explore ensemble programming, learning hours, and why AI makes fundamental engineering practices more important than ever. Key topics discussed: The role of a Technical Coach and the Samman Method explainedHow AI amplifies good engineering practices instead of replacing themHow to use ensemble programming to achieve single-piece flowRunning effective ensemble sessions and avoiding common failure modesWhy learning is part of the work, not only a side activityWhy pull requests should not be the primary tool for mentoring junior developersThe dangerous trend of “vibe coding” with AI toolsTimestamps: (00:00) Trailer & Intro(02:22) Career Turning Points(03:23) Being Part of Modern Engineering YouTube Channel(04:27) The Role of a Technical Coach(05:42) The Impact of AI on Technical Coaching(08:20) Sofware Engineering is a Learning Process(09:55) Optimizing Learning With Samman Method(11:40) The Samman Method: Ensemble (Mob Programming)(14:59) The Main Benefit of Ensemble: Single Piece Flow(17:26) How to Do Ensemble and Avoid Common Failure Modes(20:27) The Types of Coding to Ensemble On(22:12) The Importance of Trust, Communication, and Kindness(23:52) Common Things Development Teams Are Struggling With(25:37) Prompt Engineering(27:16) The Samman Method: Learning Hours(29:08) Learning is Part of the Work(31:32) The Practice of Learning as a Team(34:39) The Constraint When Learning from Pull Requests(36:30) Putting Aside Time for Learning Hours(39:14) Becoming a Technical Coach(41:23) How to Measure the Effectiveness of Technical Coaching(43:52) Danger of AI Assisted Coding(46:59) The (Still) Important Skills in the AI Era(49:56) Why We Should Not Refactor Through AI(52:41) The Samman Method & Technical Coaching Resources(53:29) 3 Tech Lead Wisdom(54:56) Finding Mentors for Career Progression_____ Emily Bache’s Bio Emily Bache is an independent consultant, YouTuber and Technical Coach. She works with developers, training and coaching effective agile practices like Refactoring and Test-Driven Development. Emily has worked with software development for 25 years, written two books and teaches courses on platforms including Pluralsight and O’Reilly. A frequent conference speaker, Emily has been invited to keynote at prestigious developer events including EuroPython, Craft and ACCU. Emily founded the Samman Technical Coaching Society in order to promote technical excellence and support coaches everywhere. Follow Emily: LinkedIn – linkedin.com/in/emilybacheX – x.com/emilybacheMastodon – sw-development-is.social/web/@emilybacheGitHub – github.com/emilybacheWebsite – emilybache.comSamman Coaching – sammancoaching.orgYouTube – youtube.com/@EmilyBache-tech-coachModern Software Engineering – youtube.com/@ModernSoftwareEngineeringYT Like this episode? Show notes & transcript: techleadjournal.dev/episodes/230. Follow @techleadjournal on LinkedIn, Twitter, and Instagram. Buy me a coffee or become a patron.

    57 phút
  8. #229 - The Management System for High-Performing Engineering Organizations - Michi Kono

    18 THG 8

    #229 - The Management System for High-Performing Engineering Organizations - Michi Kono

    Why do engineering teams slow down as they scale? It’s not the technology—it’s the management systems. In this episode, Michi Kono, CTO at Garner Health and former engineering leader at Meta, Capital One, and Stripe, shares his battle-tested approach to building scalable engineering organizations. We explore why most teams slow down as they scale and how to build systems that accelerate growth. Our conversation covers everything from designing effective org charts to creating accountability without killing psychological safety. You’ll learn practical strategies for nurturing engineering culture while maintaining high-performance standards. Key topics discussed: The challenges of hypergrowth and the need to constantly reinvent yourselfHow to avoid slowdowns by holding teams accountable for outcomes, not just shipping codeThe art of designing org charts that maximize team autonomyBuilding a culture of accountability and learning from mistakes without blameWhen managers should stop writing code (and why this decision matters)The difference between being a people manager and an executiveWhy communication becomes the most critical skill at senior levelsTimestamps: (00:00) Trailer & Intro(02:10) Career Turning Points(03:55) Skills Advice for Engineers(06:46) The Challenges of a Hypergrowth Company(09:09) Learning and Growing in a Hypergrowth Company(12:07) The Slowdown in Engineering as You Scale(15:55) Designing Organization Structure Well(18:11) Effective Organization Chart Tips(21:05) Nurturing a Good Engineering Culture(25:37) Nurturing Psychological Safety(28:14) Learning from Mistakes & Performance Review(30:27) Being a Mission-Driven Company(32:11) Aligning Mission and Values in the Day-to-Day Work(34:45) The Importance of Management System in Organization(41:53) The Importance of Having Good Managers(45:30) For Strong ICs: Writing Code or Being a Manager?(50:55) The Difference Between a Manager Role and Executive Role(56:01) A Unique Thing Learned from Doing Payment Systems(58:43) 3 Tech Lead Wisdom_____ Michi Kono’s BioMichi Kono is the Chief Technology Officer (CTO) at Garner Health, a company on a mission to help people get better healthcare. With a unique and extensive career spanning multiple industries, Michi has navigated the entire spectrum of the tech world. He began his journey in startups, one of which was acquired, leading him to a role at Capital One. From there, he gained invaluable experience at tech giants like Meta and financial-tech leader Stripe before taking the helm at Garner Health. Michi is passionate about the art and science of scaling engineering teams, building resilient cultures, and designing effective management systems to drive success in high-growth environments. He believes deeply in empowering engineers, fostering accountability, and the critical importance of clear communication for any leader. Follow Michi: LinkedIn – linkedin.com/in/michikonoTwitter – x.com/michikonoGarner Health – getgarner.com Like this episode?Show notes & transcript: techleadjournal.dev/episodes/229.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

    1 giờ 1 phút
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Giới Thiệu

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.

Thông Tin

  • Nhà sáng tạo
    Henry Suryawirawan
  • Năm hoạt động
    2020 - 2025
  • Tập
    249
  • Xếp hạng
    Sạch
  • Bản quyền
    © Henry Suryawirawan
  • Trang web chương trình
    Tech Lead Journal

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