About
I lead engineering teams that build experiences millions rely on every day. Over the past…
Services
Activity
7K followers
-
Zhia Chong shared thisUncomfortable truth: I'm a better manager now that I code less. Let me explain. What changed: I manage teams of engineers. I used to stay technical by coding nights/weekends or doing code reviews in between meetings. But that meant: * Reviewing my team's code while exhausted * Making architectural decisions based on muscle memory, not current context * Burning out myself trying to balance work and family (especially with a newborn!) AI changed all that. What I use AI (Claude + Gemini specifically) for: Not production code for work. That's my team's job. I use it for: * Prototypes to test ideas before pitching to my team * Reviewing architectures and possibilities, gaps, risks * Side project (building a tennis app - coming SOON!) to stay sharp * Technical reviews where I ask Claude/Gemini "what would break here/what are biggest risks we're not seeing?" As a result, I'm not writing or reviewing as much code. But I'm having better/deeper understanding of the problem space at a speed previously unimaginable. Recent example: Our PM proposed adding an overlay on top of our camera stack to review our frame drops. Old me: give this to our engineer, it'll take 2 weeks to write and test. New me: asked Claude, "add a debug camera overlay on XYZ camera stack for Android. We have a similar architecture in iOS (referenced the iOS Swift file). The solution was done overnight and we found severe frame drop issues. I didn't write a single line of code. But this helped the team move forward significantly faster than before. I feel weird about this. Like I'm "cheating" at staying technical. Like I should be grinding through and understanding thoroughly instead of using AI. But then I ask: what's the actual goal? * Stay technical -> Yes, but technical means "understand systems," not "memorize APIs". * Support my team -> They're learning faster with AI pairing than they did with me hovering Ship faster, better product -> I'm able to work on my side project because I can prototype in hours, not months How do you stay technical without writing code? Is "reviewing AI-generated solutions" enough to maintain judgment? Please share your thoughts and I'd love to learn more!
-
Zhia Chong posted thisHiring Software Engineers 🧑💻 The Media Effects team is at the forefront of making Meta the best platform to create engaging, immersive content. We are building Edits, Meta's latest creation app, to empower creators to produce engaging content. I'm looking to hire 2 IC4s (product generalist) - experience with Android/iOS/graphics are huge PLUS! Tech Stack: * C++ for cross-platform development * Kotlin for Android and Swift for iOS Experience: * Passion for building delightful consumer apps * Eagerness to learn and grow * Experience with C++, Swift, or Java/Kotlin * [Optional] Experience with graphics programming is a huge plus * [Optional] Experience with training computer vision models is a huge plus As a member of our team, you'll have the opportunity to: * Learn from the world's best engineers in content creation 📱 * Mentorship from senior engineers 🧑💻 * Scope and ownership for career growth 🚀 If interested or know someone who's waiting to team match, let me know! #Hiring
-
Zhia Chong shared thisGraphics engineers: opportunity to work on graphics + visual experiences on IG's latest app!Zhia Chong shared thisI'm currently hiring Senior Graphics Software Engineers who are passionate about advancing graphics and visual experiences! At Meta, you'll have the opportunity to be part of a team that is shaping the future of immersive technologies. We have exciting roles available - working on graphics projects that drive Meta's visual innovations. This includes the development of high-performance rendering engines and the creation of cutting-edge AR experiences. https://lnkd.in/eAKWZ3bA https://lnkd.in/eKpWiFdX https://lnkd.in/e44F_sBA #GraphicsSoftwareEngineering #MetaCareers #rendering #ARVR #MetaGraphics Software Engineer, Rendering - Instagram/EditsGraphics Software Engineer, Rendering - Instagram/Edits
-
Zhia Chong shared thisMeta's Q1 2025 results are out... And it's pretty mind-blowing 🤯 Key numbers: * 3.43B Daily Actives (DAP) * $42.3B Total revenue * $17.6B Operating income * 76K Employees World population: 8.2B. ~40% of the World population is using one of Meta's Family of Apps 👀 And we recently launched 2 new apps: * Edits - the new video creation app to help you make amazing content https://lnkd.in/g4JAbkgp * Meta AI - the new standalone AI assistant app that has a full-duplex (whattttt) mode! https://lnkd.in/gVpqev9S The journey is 1% finished. Let's get building 💪
-
Zhia Chong shared thisI use WhatsApp to connect with my friends and family. We launched filters and background to make your video calls more fun, expressive, and engaging. I love the beauty filter that makes me look 10 years younger! Try it out on WhatsApp today: https://lnkd.in/g5NKf5JVIntroducing Filters and Backgrounds for Video CallsIntroducing Filters and Backgrounds for Video Calls
-
Zhia Chong shared thisGrowing as an Engineering Manager I had a chat with Suresh Joshi about his growth path from front-line manager to VP of Engineering. His journey is not about climbing the career ladder - it’s about shifting your mindset, looking at true leadership as an opportunity to take the road not traveled. It is the ultimate form of selfless service and requires the courage to go where eagles dare. It is about refining your leadership skills and developing frameworks that’ll help you rally your teams around a common purpose and deliver multiplying effect on the organizational mission. If you're wondering how to: * Build the right skill set to elevate your leadership career 🛠️ * Identify the true health of your team and organization 🏥 * Developing systems and culture that drive sustainable growth and profitability 🚀 This video is for you. Suresh shares insights, practical tips and mechanisms that he has seen work for both himself and inspirational industry leaders in their career journeys in startups as well as public companies. Click here to watch the video: https://lnkd.in/g6c2UT5u #career #techGrowing to Director+ Roles | How to get to Executive roles #career #techGrowing to Director+ Roles | How to get to Executive roles #career #tech
-
Zhia Chong shared thisFinally here - you can change your background or add filters to make your video calls more fun and interesting! This has been a big focus for my team the past year. So happy to see this launched to billions of users across the world!Zhia Chong shared thisIt’s finally here - you can now change your background or add a filter during a WhatsApp video call for a more personal touch. Grateful to my team and collaborators across Meta for shipping this to our users - my family and I, just like billions more, are long-time WhatsApp users. Filter options include Warm, Cool, Black & White, Light leak, Dreamy, Prism light, Fisheye, Vintage TV, Frosted glass and Duo tone. Background options include Blur, Living room, Office, Cafe, Pebbles, Foodie, Smoosh, Beach, Sunset, Celebration and Forest. Do try it out - the roll out starts today! https://lnkd.in/g6bDCJ8dIntroducing Filters and Backgrounds for Video CallsIntroducing Filters and Backgrounds for Video Calls
-
Zhia Chong shared this👀 Meta's hiring new grads and PhDs for 2025! 👀 Meta's starting recruiting for 2025. Interested candidates should apply directly via Meta careers site (https://lnkd.in/gxEFGpM7). We're hiring: * University Grad in North America * University Grad in Europe * Interns * Research Scientists If you want to work on cutting-edge technologies at the intersection of social, wearables, and AI, then there's no better place to do it than at Meta. #hiring #meta #AIMeta Jobs & Careers | Do the Most Meaningful Work of Your CareerMeta Jobs & Careers | Do the Most Meaningful Work of Your Career
-
Zhia Chong shared this❤️ Hiring Engineers for Meta Bellevue 🎉 tl;dr: - Several E5 (senior engineer) roles to hire for Meta Bellevue, available immediately Description: Join the Media Effects team at Meta, where we focus on creating and integrating cutting-edge media effects for calling and messaging across our family of apps (FB, IG, WA). You will play a crucial role in developing tools and integrating genAI technology to enrich how we communicate across various platforms and mediums (think text, video, audio). Apply below 👇 https://lnkd.in/gtfdkxf9 #meta #hiring #openposition #softwareengineer
-
Zhia Chong liked thisZhia Chong liked thisSix months ago I walked into the credit union world from banking and fintech. I thought I knew financial services. Turns out, I knew one version of it. What I didn't fully appreciate: credit unions aren't just smaller banks. They're a fundamentally different operating philosophy — member-first, not shareholder-first. Every product decision, every workflow, every conversation with a member runs through that lens. And it's a real competitive advantage. Here's the tension though. The banks and fintechs I came from are moving fast. Really fast. CRM adoption. AI-powered workflows. Autonomous agents that handle loan status updates, onboarding sequences, referral routing, and member outreach — without a human touching the keyboard. The speed of tech adoption in that world is not slowing down. Credit unions are at an inflection point. The good news? You don't have to out-spend the big banks. You have to out-member them. And the right platform makes that possible. I've been in the weeds with Creatio for the past six months — and the combination of no-code workflow automation + AI + autonomous agents is genuinely different. We're talking about: → AI agents that proactively identify members at risk of leaving — and trigger personalized outreach before they walk out the door → Automated loan pipeline management so your team spends time on relationships, not status updates → No-code tools that let your ops team build and change workflows without waiting on IT → A unified member 360 — every touchpoint, every product, every interaction in one place → Autonomous agents that can handle tier-based service routing, referral tracking, and cross-sell workflows at scale Banks are spending millions on this. Credit unions can get there with a fraction of that investment — and deploy it with a member-first lens that no megabank can replicate. The credit unions that adopt smart AI now won't just keep up. They'll win. Because when you combine the efficiency of modern technology with a culture that actually cares about the people it serves — that's not a fair fight. Excited to keep learning from this community. If you're a CU leader thinking about AI, CRM, or where to start — let's talk. #CreditUnions #FinancialServices #AI #AutonomousAgents #CRM #MemberFirst #NoCode #Creatio #Fintech
-
Zhia Chong reacted on thisZhia Chong reacted on thisOne engineer at Meta burned through 281 billion AI tokens in a single month! Millions of dollars. One person. Across all 85,000 employees, Meta's internal AI leaderboard tracked 60 trillion tokens in 30 days. At public pricing: $900 million in compute. The leaderboard is called Claudeonomics. Top users earn titles like "Session Immortal" and "Token Legend." Meta CTO Andrew Bosworth told Forbes an engineer who spends her salary's worth in tokens can be 10x more productive. No upper limit. NVIDIA's CEO followed with a proposal: $250K in AI compute as a signing bonus on top of salary. But something broke almost immediately. Employees are gaming it. Running agents for hours just to climb rankings. The metric that's supposed to signal productivity is being inflated by the exact people trying to prove they're valuable. The engineers racing to the top of Claudeonomics aren't proving they're irreplaceable. They're proving the work is. 🚀 #GenerativeAI #SoftwareEngineering #ArtificialIntelligence #FutureOfWork #Technology
-
Zhia Chong liked thisContinuously impressed by Joy and her career. The legacy she leaves behind at Microsoft will last a long time. Building a network through authenticity, fairness, and competence beats transactional relationships over the long run. Now it’s so exciting to be on the journey with Joy, building a podcast from scratch without prior experience. I’ve picked up audio editing, podcast distribution technical details, and a bit of social media management. They say lifelong learning is the key to happiness. Here it is! Find Joy’s pod at www.theknowingmoments.com.Zhia Chong liked thisAfter more than 28 years at Microsoft - from joining as an intern to leading the Identity and Network Access (IDNA) business - I’ll be graduating from my Microsoft era starting in July. Over the past decade, I’ve had the privilege of working alongside extraordinary teams to build, scale, and evolve technologies that help organizations around the world be secure. To the entire IDNA team - thank you for believing in the journey. I appreciate all of you - I am incredibly proud of what we’ve built together and what we’ve overcome over the years. THANK YOU! Earlier this year, I had the opportunity to take my first true break since college during a sabbatical. That time gave me space to reflect on a few important questions: ✅Have I helped leave the business and team stronger than when I started? ✅Have we developed the next generation of leaders ready to take it forward? ✅And am I ready to stretch myself in new ways? For me, the answer to all three was yes. In the months ahead, I’ll be turning my focus to what comes next. I’m excited to expand my public company board work while also building new muscles in the startup, angel investing, and venture capital spaces, partnering with founders and leadership teams as they scale from 0 to 100, and from 100 to 10,000 and learn from them at the same time. I am also launching a new podcast, The Knowing Moments, where I’ll share reflections from this transition and the start of a new era. Have a listen to the first 3 episodes and let me know what you think – I’d love your feedback. Microsoft has been my professional home for nearly three decades. It’s where I grew up after college, built lifelong friendships, and developed into the leader and person I am today. I’m incredibly grateful to the leaders, mentors, colleagues, and teams I’ve had the privilege to work with and learn from throughout this journey. As I close this chapter, I do so with deep gratitude and even deeper excitement for what’s ahead. As Taylor Swift says, “It was the end of a decade, but the start of an age.” Here’s to the next age - for all of us. If we’re not already connected here on LinkedIn please click the follow button – I’d love to connect. https://lnkd.in/geaxvncz
-
Zhia Chong liked thisZhia Chong liked thisIt’s a stressful time for many reasons. Finances are top-of-mind for many people -- especially with layoffs and job stability feeling less certain. New grads are having a particularly hard time navigating this environment. I wanted to share a few money thoughts that have been on my mind. None of these are new ideas -- most are conventional wisdom -- but sometimes it helps to hear them again. Writing them down is also a reminder to myself. First: be very intentional about large lifestyle upgrades. We live in a world saturated with consumerism. You constantly see inputs pushing you to buy something. Instagram ads like “Are you still not doing this to your dog's teeth…?” quietly imply that if you don’t buy the product, you’re a bad owner. Much of modern marketing works this way: create guilt or anxiety, then sell the solution. Small purchases themselves aren’t the real problem. As long as you don’t build the habit of reacting to these signals, they’re manageable. But large step-function upgrades -- cars, houses, major lifestyle changes -- are different. These decisions need to be extremely intentional. Sometimes they make sense around life events, like having a child. But even then, the answer isn’t always “buy more.” The real risk isn’t just the one-time cost. Big upgrades raise the floor of your future spending. Once your lifestyle shifts upward, it becomes the new baseline. Second: choose the dumbest investment strategy. Our world is full of information telling you whether you invested “right” or “wrong.” Learning is good, but many people teaching investing fall into a simple attribution error: “I made this choice, and I got this return.” Life and markets contain huge randomness. If I’m honest, much of my success came from luck more than careful decisions. I remember many “lucky moments” that weren’t backed by informed choices. Over the long run, boring strategies often win. I like to joke that “dead people earn more than I do” -- because they don’t touch their portfolios. In chaotic times, stay calm, learn the basics, and stick to them. Time is your friend. Third: sell things you don’t use anymore. Thanks to consumerism, most of us have things collecting dust. Over the past few weeks I’ve been selling hobbies to fund new ones. Selling is not just about money, but also about passing the joy along. I recently sold a 3D printer I bought while working at Waymo when learning about self-driving systems. Printing and experimenting with computer vision was a lot of fun. The buyer turned out to be a school teacher in San Francisco, which made me genuinely happy -- they get a carefully maintained machine at a great price, and hopefully it will inspire students. On my side, the money funds cycling trips and races (my obsession this past year). A simple win-win. Anyway, I hope this helps someone out there. Times are stressful -- that’s why I wanted to share this. If even one person finds it useful, that would be fulfilling for me.
-
Zhia Chong liked thisZhia Chong liked this🎓 Had a great evening back at Berkeley speaking with CS Scholars in CS 61B. I shared a bit about my path from Berkeley 🐻 EECS to 27 years in tech across gaming, startups, big companies, and engineering leadership roles at EA, Zynga, and Instagram/Meta. We talked about early passion, setbacks, career choices, how engineers grow into leadership, and what building at scale taught me about product intuition, reliability, and long-term thinking. What I enjoyed most was the Q&A. The students asked really thoughtful questions, especially about my gaming 🎮 background, how to think about small vs. large companies, and navigating uncertainty when first starting out. As a Berkeley EECS alum and first-gen college grad, opportunities like this mean a lot to me. Berkeley had a huge impact on my life, and I’m grateful to be in a position now to give back through mentorship, workshops, scholarships, and conversations like this one. 🙏 Thanks again to Charlene and the CS Scholars program for having me. #ucberkeley #berkeleyeecs #csccholars #mentorship #engineeringleadership #careergrowth
-
Zhia Chong liked thisZhia Chong liked thisLast week I joined the AI Native Conference hosted by Together AI. We talked about a hard problem: how engineering teams keep up with the pace of AI. I shared a few lessons from building at Metronome: 1. Speed vs. reliability can be an org design problem. When I joined, our biggest bottleneck wasn’t talent — it was team structure. We moved from rigid teams to small cross-functional pods, with a lean platform team focused on reliability. Productivity among product engineers jumped ~3×. This was an intentional tradeoff, and we learned a lot along the way. 2. Moving fast means anticipating customer needs. Our system was designed from day one to be flexible and close to real time. Engineers either need to stay close to customers to deeply understand their needs, or work very closely with GTM teams to keep that understanding sharp. That design philosophy paid off when customers like Anthropic told us they loved working with Metronome because it helped them see the future of what was possible. 3. If you treat pricing as an afterthought, you won’t survive. When model costs and capabilities change every few months, pricing has to evolve just as quickly — not just to cover costs, but to align incentives with product usage and customer outcomes. We’re seeing the industry move toward hybrid models: usage-based pricing with commitments. AI companies are starting to treat pricing as a product. 4. AI is changing the role of engineers. During a design system migration, we had designers “vibe code” parts of the project. The result: a 4× reduction in time. Engineers increasingly shift from writing every line of code to defining the guardrails and quality bar. My biggest takeaway: Building for AI companies requires rethinking org structure, pricing, and even the role of engineers. Read full transcript here https://lnkd.in/g8RsKPJW
-
Zhia Chong reacted on thisZhia Chong reacted on thisAfter 6 years at Meta, I’m now trying something new at sunday.ai I had a great run at Meta. It was an extremely unique experience building realtime communication infra at a scale of billions of users. But hey, we are in Silicon Valley. How can you resist this once in a lifetime opportunity to work on “Physical AI” with an elite team?? We are building some cool stuff, and hiring for variety of roles. Visit our career page and join the ride 🚀🚀
-
Zhia Chong liked thisZhia Chong liked thisSandeep Sripada and I took this picture on Dec 2, 2022, one year before our launch. We were on a real estate tour for a Frec SF office when a colleague messaged on Slack, “We just got our first $2m deposit!” Sandeep and I were so happy and took this selfie to commemorate the occasion. Back story on how we met. Sandeep and I worked together at Twitter around 2016. I was the PM and he was the tech lead on a revenue team. Every few months at lunch, we manually rebalanced shares from 10’s of companies in what used to be called the “Bessemer Venture Partners's Cloud Index” in our individual Schwab accounts. We paid a ton in taxes. We used a messy spreadsheet to manage our trades (screenshot attached). Frec was born from this painful experience. When I left Twitter to start Frec, Sandeep was my first call. “Funding is secured. Are you in?” And he was, with no hesitation. Sandeep is the best engineering leader I’ve known. He is still hands on building and coding, cares deeply about the team and company, and has killer product instincts. We’re growing the engineering team and hiring senior engineers (7+ years). AUM is scaling fast, and we need builders who can ship new products, scale systems, and help recruit great talent. We’re a small team, so you’d have lots of ownership. Message me or Sandeep Sripada if you’re interested. Fun fact: that beta customer churned a few weeks later because Frec was bare bones at the time. We went heads down for 10 months (during the Fintech winter), built the platform and launched in Oct 2023. Since then, less than 5% of all funded accounts have churned.
-
Zhia Chong liked thisExcited to join the SkyDeck mentor community and give back to Berkeley founders. Looking forward to learning and contributing alongside this great group.Zhia Chong liked thisI’m honored to join as a mentor at the University of California, Berkeley, Haas School of Business Berkeley SkyDeck. Looking forward to learning alongside the founding teams, program leaders, and fellow mentors! Anisha Manvatkar Alex Saltman David Yee Aki Ohashi Sibyl Chen Wendy Rasmussen, PhD. Jenny Kay Pollock Suzie G. Kronberger Rana Kanaan Patricia Liu Kate Hung
Experience
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Education
Publications
-
How to write a great resume for software engineers
This article is a compilation of tips and best-practices for writing a great resume for software engineers.
Other authors -
-
How I landed offers from top-tier tech companies without an Ivy League degree
See publicationMy story of how I landed multiple job offers from top-tier tech companies.
Courses
-
Algorithms and Data Structures
-
-
Algorithms and Design Analysis
CS423
-
Data Structures
-
-
Event-Driven Programming
-
-
OpenGL Computer Graphics
-
-
Operating Systems
-
-
Programming Languages
-
-
Ruby On Rails Web Development (online)
-
-
Software Engineering
-
-
Speech And Natural Language Processing
-
-
Theory of Computation
-
-
iOS Programming Course 2013 (online)
-
Projects
-
FindMo
FindMo is an iOS app that helps people connect dynamically with others who share similar interests. Users are able to easily create chat groups with specific interests, and they are able to invite/allow/reject others to take part in the conversation. As the sole engineer, I designed and built the iOS app. The app utilizes geo-location picked up from the iPhone’s built-in GPS and sets a fixed radius of 5 miles to ensure visibility only for closest groups. Messages are cached locally on the phone…
FindMo is an iOS app that helps people connect dynamically with others who share similar interests. Users are able to easily create chat groups with specific interests, and they are able to invite/allow/reject others to take part in the conversation. As the sole engineer, I designed and built the iOS app. The app utilizes geo-location picked up from the iPhone’s built-in GPS and sets a fixed radius of 5 miles to ensure visibility only for closest groups. Messages are cached locally on the phone and stored in Core Data to ensure responsiveness with push notification turned on via Parse.com to inform users of new activity. Users can sign up for the service either via email or phone text, which was implemented using Twilio’s API.
-
Jawbone
Jawbone is a personal project that exposes a RESTful CRUD interface to let people find names for their pets. Jawbone is written in PHP and uses Slim for routing. It is hosted on Amazon's AWS and uses DynamoDB, a noSQL database. Users can query the APIs to easily find out top 10 most commonly used pet names given the species, they are able to make a GET request to get random names given the species, and they are also able to submit a POST request to contribute to the repository. Jawbone uses…
Jawbone is a personal project that exposes a RESTful CRUD interface to let people find names for their pets. Jawbone is written in PHP and uses Slim for routing. It is hosted on Amazon's AWS and uses DynamoDB, a noSQL database. Users can query the APIs to easily find out top 10 most commonly used pet names given the species, they are able to make a GET request to get random names given the species, and they are also able to submit a POST request to contribute to the repository. Jawbone uses Redis, an in-memory data store, to store request authentication tokens.
-
HungerMob
HungerMob is a creative attempt to solve the problem of hunger. Millions of people around the food are starving each day, and through HungerMob, we hope to provide a solution that will help facilitate the delivery of food from those with excess to those without. I helped to implement the backend using Django and also experimented with Twilio's API during the process to send text messages to volunteers.
It was a great learning experience as I saw firsthand how things can go from…HungerMob is a creative attempt to solve the problem of hunger. Millions of people around the food are starving each day, and through HungerMob, we hope to provide a solution that will help facilitate the delivery of food from those with excess to those without. I helped to implement the backend using Django and also experimented with Twilio's API during the process to send text messages to volunteers.
It was a great learning experience as I saw firsthand how things can go from oh-so-right to oh-my-god. We spent the entire first day to narrow down our scope, and we revised our pitch over and over again to capture the essence of our site. We finally boiled down to several important features that will make our product stand out, and that was our minimum viable product (MVP).
Other creators -
-
TicTacToe
See projectA simple Tic Tac Toe program with a simple goal: create a game where the bot will never lose.
With that said, I had to find different ideas on how to implement the game. That brought me to artificial intelligence. How can the bot never lose? (note the words "never lose", instead of "always win") A draw is the worst case scenario.
I learned how to implement, debug and write clean, modular code that allows me to maintain code easily.
Languages
-
Mandarin
Native or bilingual proficiency
-
English
Native or bilingual proficiency
-
Cantonese
Professional working proficiency
-
Malay
Full professional proficiency
-
Indonesian
Full professional proficiency
Recommendations received
5 people have recommended Zhia
Join now to viewOther similar profiles
Explore more posts
-
NextGen AI
3 Core Pillars of Competitive AI What separates serious AI builders from the rest? As shared by Scale AI CEO Alex Wang on #20VC, it all comes down to this: Algorithm The intelligence layer where better architectures enable models to reason, generate, and adapt. Compute The power layer raw processing capability through GPUs, TPUs, and custom hardware to train and run models at scale. Data The fuel layer clean, labeled, and domain-specific datasets that models learn from and improve on. The real edge? → It's not about choosing one. → It's about integrating all three seamlessly. This framework isn’t just theory. It’s how today’s top AI builders are thinking. #AI #ArtificialIntelligence #ScaleAI #AlexWang #20VC
4 Comments -
Adalberto Pinto
Most startups die from moving too fast. But plenty die from moving too slow. So how do you actually balance speed vs. technical debt? I sat down with Shuzhi Huang, former Engineering Leader at Google, someone who's seen this play out at massive scale, and got a remarkably honest answer. The insight that hit hardest: technical debt isn't the enemy. Unacknowledged technical debt is. If you're a founder scaling your engineering team right now, or a hiring manager trying to decide when to prioritize velocity over quality — this one's for you. What's your take? The full episode is live. Link in the comments 👇 #Engineering #TechnicalDebt #StartupFounders #EngineeringLeadership #Hiring #BotifySessions #BotifyTech #TechLeadership #Founders
1 Comment -
Amit Agrawal
I broadly agree with the concern, but let’s be honest about one thing: this decay didn’t start with AI. In what pre-AI world were software engineers actually reviewing each line of code? Outside of a few regulated industries — telecom, healthcare, aerospace — that practice was abandoned long ago. By both engineers and leadership. Code reviews became: checklist-driven rushed often skipped under “delivery pressure” Unit tests? Widely preached, quietly deprioritized. QA? The craft of test design slowly degraded into: “Press this button, run regression.” So when we say “LLMs are encouraging reckless shipping,” we’re skipping a step. The industry had already optimized for: speed over understanding output over correctness demos over durability Long before GenAI showed up. AI didn’t invent “ship fast and hope” — it just amplified a habit that was already normalized. In fact, “ship fast” is a very pre-AI era mantra. What’s new is the scale at which people can now ship things they don’t understand. That’s the real risk. Not that LLMs write code. But that they fit perfectly into an ecosystem that already stopped caring deeply about: technical debt system behavior long-term maintainability So yes — blind trust in generated code is dangerous. But pretending we came from a golden age of disciplined engineering before AI? That’s rewriting history. AI didn’t lower the bar. It exposed how low we’d already set it. As for 'it won't end well' ..... well well ... it is going on pretty well for companies such as MS - https://lnkd.in/g-hyEjzP
-
Tyler Postle
🚀 Built to Ship - Hosted by Tyler Postle, Co-Founder of Voker (YC S24) 🎙️Featuring: Guruprasad Padmanabhan - CoFounder Sangnan AI How is AI transforming product development — and how we can shape AI tools to work faster and smarter for us? Guruprasad Padmanabhan shares the founding story of Sangnan AI and their mission to automate regulatory documentation for pharma companies and CROs using advanced generative AI. #PharmaTech #GenerativeAI #Founders #ProductDevelopment #StreamYard #Startups #TechForGood
2 Comments -
Swapnil Jain
🔥 𝗙𝗶𝗿𝗲𝘀𝗶𝗱𝗲 𝗖𝗵𝗮𝘁 𝗼𝗻 “𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀” Had an incredible evening hosting a fireside chat with Matt Kraning (𝗙𝗼𝘂𝗻𝗱𝗲𝗿 & 𝗖𝗧𝗢 𝗼𝗳 𝗘𝘅𝗽𝗮𝗻𝘀𝗲, 𝗲𝘅 𝗖𝗧𝗢 𝗣𝗮𝗹𝗼 𝗔𝗹𝘁𝗼 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀) and a group of technology and product leaders from some of the world’s biggest 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝗯𝗿𝗮𝗻𝗱𝘀, 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀, 𝗮𝗻𝗱 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗶𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻𝘀 in the Bay Area. We discussed one of the most urgent questions facing every product and engineering organization today: building 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝘂𝘀𝗲𝗿𝘀, and 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝘁𝗼 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗵𝗼𝘄 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺𝘀 𝗼𝗽𝗲𝗿𝗮𝘁𝗲, 𝘀𝗵𝗶𝗽, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲. 𝗔𝘁 𝘁𝗵𝗶𝘀 𝗽𝗼𝗶𝗻𝘁, 𝘁𝗵𝗲𝗿𝗲 𝗶𝘀 𝗻𝗼 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸. The companies that win won’t be the ones waiting for others to define it - they’ll be the ones learning, experimenting, evolving, and writing it themselves. Because the reality is: Your competition is already re-architecting their business around AI agents - driving higher efficiency, faster iteration, and reinvesting those gains to build better products. The next era of product leadership isn’t about adopting AI. It’s about adopting an 𝗔𝗜-𝗮𝗴𝗲𝗻𝘁 𝗺𝗶𝗻𝗱𝘀𝗲𝘁. Grateful to everyone who joined and contributed such sharp perspectives and open conversations. Deepak Kumar P Vache Moroyan DB Banerjee
-
Sarah Tilley
Ex-OpenAI CTO Mira Murati's AI startup Thinking Machines Lab officially closed a $2B seed round led by Andreessen Horowitz, with participation from Nvidia, Accel, ServiceNow, CISCO, AMD, and Jane Street. With billions in funding, Murati may have enough of a war chest to train frontier AI models, but Thinking Machines Lab has an uphill battle to catch up with other AI labs. It’s likely banking on novel research breakthroughs to set it apart; however, that’s an increasingly difficult task as Meta, Google DeepMind, Anthropic, and OpenAI invest billions in their own research teams. https://lnkd.in/gYfEUxQy
-
Roben Al-Alam
90% of AI startups will miss the August 2026 compliance deadline. The 10% who ship verifiable systems now will dominate 2026-2027. Ex-Meta engineer. Built AI at scale. Now helping startups ship production-ready AI in 4 weeks. Want a free architecture review? #AI #EUAIAct #VerifiableAI #AICompliance #CTO #TechLeadership
2 Comments
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content