Beyond Coding

Patrick Akil

Beyond Coding is a weekly podcast with conversations that go "beyond coding" in a fireside chat format. Common topics are tech, entrepreneurship, and career journeys. Authentic, informative and inspiring. That's the aim for each episode. New episodes every Wednesday 🎙

  1. Why Your AI Experiments Won't Scale

    1 ДН. ТОМУ

    Why Your AI Experiments Won't Scale

    What if the biggest obstacles to AI innovation aren't what you think? Deeploy CEO Maarten Stolk shares his controversial but effective strategies for building successful AI products and ecosystems, challenging the common wisdom around bottom-up initiatives and regulation. In this episode, we cover: Why bottom-up initiatives fail without strong top-down vision. The surprising benefits of the EU's AI Act for innovation. How to build a thriving AI ecosystem from the ground up. The single most important metric for AI observability. This conversation is for tech leaders, founders, and engineers who want to move beyond AI experiments and build real-world, production-ready systems. Timestamps: 00:00:00 - Intro 00:00:45 - Why Maarten Started a Dutch AI Hub 00:02:15 - The "Flywheel" Effect Crucial for AI Success 00:04:42 - The Hard Truth: Why the Netherlands is Lagging in AI 00:07:52 - A Controversial Take: The EU AI Act is Actually Good for Everyone 00:11:26 - The Real Bottleneck to Innovation Isn't Regulation 00:14:25 - From POC to Production: Why Top-Down Vision is Non-Negotiable 00:17:13 - A Wake-Up Call for Inexperienced Leadership Teams 00:20:30 - How Winning Companies Use AI to Dominate Their Market 00:23:44 - The Right Way to Learn From Your Competitors 00:27:30 - Maarten Outsourced Core Development to an AI Company 00:31:59 - The #1 Metric You Must Track for AI Observability 00:36:03 - Open-Source vs. Closed-Source: Which AI Model Will Win? 00:40:23 - The Inevitable Crisis That Will Force Innovation 00:42:19 - The Power of Having a Long-Term Personal Vision #AIStrategy #TechLeadership #Innovation

    44 хв
  2. Most Developers Don't Know They Have Graph Problems

    25 ВЕР.

    Most Developers Don't Know They Have Graph Problems

    As a developer, you're trained to think in rows and tables. But what if that's the exact reason you're missing the most powerful connections in your data? There's a fundamental "Graph Problem" hiding in plain sight in almost every application, and once you see it, you'll wonder how you ever missed it. In this episode, we reveal this "obvious" secret and show you how to leverage it to build smarter, more accurate, and context-aware AI. In this episode/video, we cover: ​The "Graph Problem" explained: Why you have more graph problems than you think.​Why basic RAG isn't enough, and how Graph RAG provides the context your AI is missing.​How to uncover the hidden relationships in your unstructured data and build a knowledge graph.​Real-world examples (from Amazon to your own notes) that reveal the graph structure all around you.​The #1 reason knowledge graph projects fail and how to avoid it.This conversation is for any developer who feels their projects are hitting a wall. If you're ready for the "aha!" moment that will change how you look at data forever, this episode is for you. Timestamps:00:00:00 - Intro00:00:39 - From Unstructured Data to a Knowledge Graph00:02:00 - The Experiment: What Happens When You Break a Knowledge Graph?00:05:41 - What Are Ontologies in the Graph World?00:07:35 - The Graph Problem You Didn't Know You Had00:09:09 - Why Graphs Are So Good for GenAI Context00:10:10 - The Best Way to Create Vector Embeddings for Graphs00:12:50 - Using Graphs to Solve Extreme Corporate Complexity00:17:14 - Real-World Problems That Are Actually Graph Problems00:19:31 - How to Find The Right Expert in Your Company00:23:33 - The Rise of Federated RAG Agents00:25:31 - The #1 Reason Knowledge Graph Projects Fail00:29:37 - A Standard Query Language for Graphs (GQL)00:32:53 - Why Teams Are Moving From RAG to Graph RAG00:34:34 - Should Your Company Build Its Own AI Assistant?00:38:28 - The "Fear of Missing Out" Driving Bad AI Projects00:40:21 - The Dangers of Chaotic vs. Laser-Focused Company Priorities00:44:05 - Why Gantt Charts Don't Work for Software00:47:08 - How Top Engineers Actually Learn New Technologies Guests on this podcast express their own views and do not represent their employers. #GraphDatabase #KnowledgeGraph #SoftwareArchitecture

    55 хв
  3. How Deepfakes are Evolving (And What You NEED to Know)

    17 ВЕР.

    How Deepfakes are Evolving (And What You NEED to Know)

    It takes just three seconds for AI to steal your voice and impersonate you in a way no one can detect. How can you protect yourself, your family, and your finances when seeing and hearing is no longer believing? In this episode, deepfake expert Parya Lotfi reveals the shocking reality of AI-driven scams, from fraudulent bank transfers to fake kidnapping calls. We uncover how criminals operate and what you can do to spot the lies before it's too late. In this episode/video, we cover: - How criminals use 3-second voice clones for scams - The shocking story of a North Korean deepfake spy - Why facial and voice ID are no longer secure - How to use AI to detect other AI fakes This video is for anyone who wants to understand the real-world dangers of deepfake technology and learn actionable steps to protect themselves in our new "fake reality." Connect with Parya: https://www.linkedin.com/in/paryalotfi Timestamps: 00:00:00 - Intro 00:00:35 - The Scary Reality of AI-Generated Videos 00:02:32 - The Dangerous Side of Facial & Voice Biometrics 00:03:45 - The Disturbing Reality of Voice Cloning Scams 00:06:46 - How to Use AI to Catch AI-Generated Fakes 00:10:11 - Solving AI's "Black Box" Problem with Explainability 00:12:10 - The Different Types of Deepfakes Criminals Use 00:14:15 - How Deepfakes Are Used to Launder Millions From Banks 00:18:18 - Inside the Darknet's "Deepfake-as-a-Service" Business 00:22:32 - Why Banning Deepfake Technology Is Impossible 00:24:58 - How Deepfakes Are Being Weaponized in Global Conflicts 00:27:30 - Red Teaming: How to Think Like a Deepfake Criminal 00:29:09 - The North Korean Spy Who Used a Deepfake to Get a Job 00:31:54 - The Ultimate Goal: A Deepfake Detector for Everyone 00:37:23 - The Future That Scares Me: AGI and Self-Aware Robots 00:44:33 - The Journey of Building a Deepfake Detection Company 00:47:42 - The Surprising Reason Deepfake Detection Is So Hard 00:54:44 - Who Is Responsible When You Get Scammed by a Deepfake? 00:58:25 - The Rise of AI Influencers and Their Tragic Consequences #Deepfake #Cybersecurity #ArtificialIntelligence

    1 год 3 хв
  4. From Pixels to Tokens: UX Is Not Enough Anymore

    10 ВЕР.

    From Pixels to Tokens: UX Is Not Enough Anymore

    What does it take to build AI features at the scale of Microsoft Copilot? Senior Product Manager Stéphanie Visser reveals the massive shifts in product development, from focusing on pixels to tokens and embracing a culture of rapid, data-driven experimentation. Learn how the roles of PMs, engineers, and scientists are evolving and what it takes to succeed. In this episode, we cover: The shift from UX-focused products to output-quality-focused AI.How to run experiments and decide when an AI feature is ready to ship.The changing roles and expectations for PMs, engineers, and data scientists.Building trust and a strong product culture in a distributed AI team. This episode is a must-watch for product managers, engineers, and tech leaders looking to adapt their processes for the age of AI and accelerate their delivery cycles. Timestamps: 00:00:00 - How Microsoft Builds AI Features 00:00:49 - The #1 Thing That Changed for Product Managers 01:28 - From Pixels to Tokens: The AI Product Shift 02:58 - Why AI Is All About Output Quality, Not UX 04:46 - When Is an AI Feature "Good Enough" to Ship? 06:45 - The "Non-Embarrassment Bar" for Releasing AI 09:07 - Why Old User Feedback Methods Don't Work for AI 12:28 - The New Expectations for Software Engineers in AI 15:33 - When to Involve Engineers in the Product Process 17:43 - How Microsoft Structures Its AI Product Teams 20:40 - Why 3-Month Planning Is Obsolete in the AI Era 22:42 - How to Remove Bias From Your Product Decisions 25:36 - Balancing Data vs. User Intuition in AI 27:44 - The Biggest Bottleneck in AI Experimentation 31:12 - How to Define the Right Metrics for Your AI Product 33:39 - Building Trust and Culture in a Remote Team 37:47 - The Most Underrated Skill for Product Managers 40:57 - How to Cultivate a Strong Product Culture 44:32 - The AI Tools a Microsoft PM Actually Uses 46:29 - How to Manage the Expanding Scope of the PM Role Connect with Stéphanie Visser: https://www.linkedin.com/in/stephanievisser Connect with Patrick Akil: https://www.linkedin.com/in/patrick-akil https://twitter.com/PatrickAkil_ Sponsors: Xebia - https://xebia.com #ProductManagement #AI #Microsoft

    48 хв
  5. Stop Hiring Junior Engineers Because of AI?

    3 ВЕР.

    Stop Hiring Junior Engineers Because of AI?

    As AI accelerates development, many companies are halting junior hiring, believing AI tools can replace them. Shahin Shahkarami, Director of Data & AI at Ikea Retail, argues this is a massive mistake and that now is actually the best time to invest in new talent. In this episode/video, we cover: Why companies should hire junior talent despite the rise of AI. How the role of a data scientist is evolving with generative AI. The most valuable business use cases for AI beyond chatbots. This conversation is for tech leaders, hiring managers, and aspiring developers looking to understand how to build and grow their careers in the age of AI. Connect with Shahin: https://www.linkedin.com/in/shahin-shahkarami Full episode on YouTube ▶️ https://youtu.be/Jui-8Lx6kvk Beyond Coding Podcast with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎙Patrick Akil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Powered by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Xebia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Timestamps: 0:00:00 - Why Now Is The Best Time to Hire Junior Talent 00:01:46 - The Massive Mistake Companies Make with AI Hiring 00:03:11 - How Junior Talent Can Stand Out in 2025 00:04:39 - Why Senior-Only Teams Can Become Negative 00:05:56 - The ROI Problem: What If Your Junior Talent Leaves? 00:07:44 - How Companies Can Actually Retain Top Talent 00:11:06 - How AI Has Changed Personal Productivity for Leaders 00:15:34 - How the Role of a Data Scientist Is Evolving 00:18:28 - The 80/20 Rule of Building AI Products 00:21:37 - The Rise of the "AI Engineer" and What It Means 00:23:37 - A Simple Strategy for Personal Growth in Tech 00:28:46 - Where Generative AI Delivers Real Business Value 00:32:37 - Why You Must Differentiate Your Business With AI Now 00:38:09 - A 2-Fold Strategy for Prioritizing AI Projects 00:40:41 - The Power of a 20% Experimentation Culture 00:43:10 - The Problem With Chatbots as a First AI Project 00:46:20 - The Danger of Releasing an 80% Good AI Product #AI #TechCareers #DataScience

    50 хв
  6. How to Master Software Engineering (From Junior to Architect)

    27 СЕРП.

    How to Master Software Engineering (From Junior to Architect)

    Feeling overwhelmed by the constant change in software engineering? After 25 years in the industry, CTO Joris Kuipers shares a pragmatic roadmap to not just survive, but achieve true mastery in your craft, whether you're a junior developer or a seasoned architect. In this episode, we cover: How to focus your learning when new technologies emerge daily The ideal environments for junior and senior engineers to thrive Why rapid, frequent deployment is SAFER than slow, careful releases The critical feedback loops you must have to accelerate your career How to move beyond rigid processes like Scrum to deliver real value This is for any software engineer who wants to stop just "doing the work" and start building a deeply fulfilling and successful career by mastering their craft. Connect with Joris: https://www.linkedin.com/in/jkuipers Full episode on YouTube ▶️ https://youtu.be/pNtkOZuWetg Beyond Coding Podcast with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎙Patrick Akil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Powered by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Xebia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Timestamps: 00:00:00 - The #1 Thing That Gives a 25-Year CTO Energy 00:02:39 - How to Maintain Mastery When Tech Constantly Changes 00:05:30 - The Chicken-and-Egg Problem of Learning on the Job 00:08:49 - What Junior Developers Should Master First 00:11:39 - The Danger of Starting Your Career at a Small Startup 00:14:45 - How to Persuade Senior Engineers to Change Their Ways 00:17:33 - Why I Don't Want to Be a Full-Time Coder Anymore 00:20:14 - The Right Way to Ask Your Senior for Help 00:22:42 - Why We Stopped Doing Story Point Estimations 00:25:39 - The Problem with Managers Who Lack Technical Depth 00:29:26 - Why Integration is the Future of Software Engineering 00:33:11 - The Dark Side of Accessible Cloud Infrastructure 00:35:34 - Why You MUST See Your Code Running in Production 00:37:35 - Should Developers Be On-Call for Their Own Code? 00:41:38 - The Surprising Reason Faster Deployments Are Safer 00:45:57 - Why Small, Frequent Changes Reduce Your Risk 00:49:09 - How Your Environment Makes or Breaks Your Career 00:52:10 - The Good News: Learning Gets Easier Over Time

    53 хв
  7. The Simple Daily Habit That Unlocks Your Productivity

    20 СЕРП.

    The Simple Daily Habit That Unlocks Your Productivity

    Time is your most finite resource; once you spend it, you can never get it back. In this conversation, co-founder and Senior Product Manager Joseph Hill reveals the mindset and systems he uses to be intentional with his time, manage his focus, and stay productive without burning out. In this episode, we cover: How to be intentional with your time and challenge unnecessary meetings. The right tools for knowledge and task management (Obsidian, Jira, etc.). A simple daily logging method to boost awareness and reflection. Why experimenting with your processes is crucial for career growth. How to overcome FOMO and take control of your workload. This episode is for any professional who feels overwhelmed by their to-do list and wants actionable strategies to reclaim their focus and energy. Connect with Joseph: https://www.linkedin.com/in/hillmeister Full episode on YouTube ▶️ https://youtu.be/9r2_49wW2xU Beyond Coding Podcast with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎙Patrick Akil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Powered by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Xebia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Timestamps: 00:00:00 - The #1 Realization About Your Time 00:00:44 - My New Approach to Knowledge Management 00:02:10 - The Surprising Reason I Use Jira for Personal Tasks 00:04:03 - Why You Should Experiment (Even If It Fails) 00:06:40 - How to Challenge Processes Without Being Flaky 00:08:56 - How to Say "No" to Meetings Early in Your Career 00:11:57 - The Only Person Who Can Manage Your Time 00:13:13 - How AI Is Changing Meeting Productivity Forever 00:16:24 - Is Your Team Using Async Communication Correctly? 00:19:25 - How We Track and Limit Context Switching 00:21:29 - The Simple Trick to Managing an Overwhelming Workload 00:24:08 - The Hard Truth About Dropping Tasks You Enjoy 00:26:49 - Giving Yourself Grace: You Don't Have to Be a Superhuman 00:28:29 - Why We Don't Value Our Own Time (And How to Fix It) 00:30:23 - The Daily Logging Habit That Creates Insane Awareness 00:33:48 - My Sunday Ritual for Weekly Reflection and Micro-Goals 00:36:21 - The One Daily Question That Brings Me Joy and Energy 00:38:20 - How I Keep My Work and Personal Knowledge Separate 00:41:24 - The Power of Analyzing Yourself to Improve Your Life

    45 хв
  8. Principal Software Engineer: Democracy at Work is Overrated

    13 СЕРП.

    Principal Software Engineer: Democracy at Work is Overrated

    Dario Gieselaar, Principal Software Engineer from Elastic gets brutally honest about what it really takes to succeed in a top tech company. We uncover the uncomfortable truths about the promotion game, why direct feedback is crucial (even when it hurts), and why a "winning" mindset is everything. This is the conversation about career growth they don't have in HR meetings. In this episode, we cover: Navigating promotion cycles and advocating for yourself Giving and receiving critical feedback without being seen as "negative" The importance of accountability and managing low-performing colleagues Why a top-down approach can be more effective than team democracy How to "disagree and commit" to keep projects moving forward This video is for any software engineer who wants to level up their career, navigate corporate dynamics, and become a high-impact performer in a competitive environment. Full episode on YouTube ▶️ https://youtu.be/1q7Jjbi5GJ4 Beyond Coding Podcast with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎙Patrick Akil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Powered by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Xebia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Timestamps: 00:00:00 - Career Progression for Software Engineers in Big Tech 00:00:28 - The Pain and Frustration of a Missed Promotion 00:03:44 - The "Classic Game" of Asking Your Manager for a Promotion 00:05:38 - When Salary Becomes a Trigger for Your Motivation 00:08:09 - Why Recognition is More Important Than Money 00:11:09 - The Challenge of Giving Positive vs. Critical Feedback 00:13:26 - Is Your Critical Feedback Being Labeled as "Negative"? 00:15:36 - When Being Indirect Wastes Everyone's Time 00:17:44 - Why Direct Disagreement Leads to Better Decisions 00:20:16 - The Surprising Impact of Meeting Colleagues In-Person 00:22:43 - How Reorgs Destroy High-Performing Teams 00:25:59 - Why the World's Biggest Codebase is Embarrassing 00:27:58 - Should You Let Your Team Make Their Own Mistakes? 00:30:47 - The Unique Challenge of Building Enterprise Software 00:34:16 - A Hard Lesson: When Your Directness Hurts a Colleague 00:38:45 - The Uncomfortable Truth About Managing Low Performers 00:43:21 - Why High Performers Leave Teams That Tolerate Coasting 00:47:05 - A Contrarian Take: Is Workplace Democracy Overrated? 00:50:54 - How to "Disagree and Commit" Without Wasting Time 00:55:52 - The #1 Instinct to Control When Receiving Feedback 01:01:43 - Mindset Shift: Treating Software Engineering Like a Competitive Sport

    1 год 4 хв
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Опис

Beyond Coding is a weekly podcast with conversations that go "beyond coding" in a fireside chat format. Common topics are tech, entrepreneurship, and career journeys. Authentic, informative and inspiring. That's the aim for each episode. New episodes every Wednesday 🎙

Інформація

  • Автор
    Patrick Akil
  • Роки діяльності
    2021 - 2025
  • Епізоди
    219
  • Категорія
    Не відверті
  • Авторське право
    © Patrick Akil
  • Вебсайт шоу
    Beyond Coding

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