What is AI engineering and what do AI engineers even do?

How to Build an Effective Tech Stack: Balancing User and Developer Experience

Let's stay in touch? https://twitter.com/tejaskumar_ In this comprehensive podcast episode titled "How to Build an Effective Tech Stack," listeners are guided through the intricate process of constructing a technology stack that harmonizes both User Experience (UX) and Developer Experience (DX). Beginning with a foundational understanding of what a tech stack is, the episode delves into the various components that constitute a tech stack, including technology, tools, libraries, frameworks, and databases. It also covers essential practices such as testing, deployment/hosting, monitoring, and the use of services like Software as a Service (SaaS). Key discussions include the balancing act between UX and DX, the importance of choosing the right mix of tools and services, and when to prefer a tool over a service. The episode emphasizes the significance of developer experience in shaping user experience and vice versa, presenting insights on unit testing and the pitfalls of striving for 100% code coverage. It also features a comparative analysis of popular frontend UI libraries such as React, SolidJS, and Qwik, addressing the question of how much optimization is truly beneficial. The podcast underscores the critical notion that beyond the choice of technology, the value of the product to its users is paramount. It concludes with the concept of a living, reactive tech stack that adapts to reduce friction and improve both development processes and user satisfaction. This episode is a must-listen for anyone involved in building or optimizing tech stacks, offering a deep dive into making informed decisions that benefit both developers and users. Chapters 00:00 - Intro 00:32 - Sponsors 01:45 - Building a Tech Stack: Balancing User Experience (UX) and Developer Experience (DX) 05:03 - What is a Tech Stack? 08:25 - What is Technology? 17:09 - What are Tools? 21:39 - What are Libraries? 29:27 - What are Frameworks? 33:17 - Databases 35:37 - Testing 41:49 - Deployment/Hosting 46:14 - Monitoring 49:31 - Services (Hosted Tools), Software as a Service 54:21 - When to use a tool vs. a service? 58:53 - What to consider when choosing and using tools in a tech stack 01:05:41 - Balancing Developer Experience (DX) and User Experience (UX) 01:08:29 - Unit Testing and Why 100% Code Coverage is Bad 01:10:33 - Paying attention to how DX affects UX 01:14:24 - Comparing Frontend UI Libraries: React, SolidJS, and Qwik 01:21:32 - How much optimization is worth it? 01:23:02 - More Important than a Tech Stack: Is your product valuable? 01:28:17 - A Living, Reactive Tech Stack to Ease Friction 01:30:30 - Conclusion ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Paul Aragones: How to Engineer a Great Marriage

LINKS - CodeCrafters (Sponsor): https://tej.as/codecrafters - Guest Socials (Paul Aragones): * Instagram: https://www.instagram.com/prequalizer/ * YouTube: https://www.youtube.com/@PinoyHusbands - Gottman Institute (The Four Horsemen): https://www.gottman.com/blog/the-four-horsemen-recognizing-criticism-contempt-defensiveness-and-stonewalling/ - Cal.com (Peer Richelsen): https://cal.com MENTIONED EPISODES - Diazno * Spotify: https://open.spotify.com/episode/4i4txd4HhngCGAtDWt0JZF?si=h-LM6LEPQGeh8Hsu2s5N4w * Apple: https://podcasts.apple.com/nz/podcast/diazno-how-to-unlock-creativity-taste-and-effective/id1731855333?i=1000747678547 * YouTube: https://www.youtube.com/watch?v=k8azxbxYBAc&list=PLEJpU2pV0Lie1VWU1unMg_7FRQ1gqFmAZ&index=4&t=5888s&pp=iAQBsAgC Summary In this episode, I sit down with Paul Aragones, an embedded Linux engineer who made the fascinating pivot to becoming a marriage coach. We explore the surprisingly deep parallels between building stable software systems and engineering a divorce-proof marriage. We discuss why marriage is actually the ultimate operating system for life, how to create a 'spec sheet' for your partner to avoid compatibility bugs, and why your friend circle might be increasing your divorce risk by 75%. Paul also opens up about his own journey through poverty and near-divorce, and we debate the controversial role of submission and servant leadership in modern relationships. Chapters 00:00:00 Intro 00:05:05 Marriage as an Operating System 00:08:28 Building the Spec Sheet: Requirements for a Spouse 00:13:38 Why Marry? The Societal & Financial API 00:18:45 The Danger of Being Too Picky (The "Feature Creep" Problem) 00:22:14 Defining Your 3 Non-Negotiables 00:27:46 The "Timeout" Clause in Dating 00:33:13 The Shock of v1.0: Early Marriage Bugs 00:39:20 The 75% Rule: How Friends Influence Divorce Risk 00:47:23 Implementing CI/CD: Continuous Improvement in Marriage 00:54:30 Overcoming Male Pride & Finding Mentors 01:01:15 Identity Stack: Husband > Father > Businessman 01:06:11 Addressing Religious Trauma & Misconceptions 01:19:58 The Four Horsemen: Predicting Divorce with 90% Accuracy 01:27:08 Emergency Protocols: Saving a Dying Marriage 01:37:41 Why It's All Worth It: The Highest Form of Satisfaction ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

What is AI engineering and what do AI engineers even do?

Links - CodeCrafters (Sponsor): https://tej.as/codecrafters - The Rise of the AI Engineer (Latent Space): https://www.latentspace.com/p/ai-engineer - Anthropic Model Context Protocol (MCP): https://www.anthropic.com/news/model-context-protocol Anthropic Skills (SKILL.md): https://resources.anthropic.com/hubfs/The-Complete-Guide-to-Building-Skill-for-Claude.pdf?hsLang=en - Pratim Bhosale on Vector Search (Previous Episode): https://www.youtube.com/watch?v=ZJcrI1GbDec - OpenClaw (Official Repository): https://github.com/openclaw/openclaw - WormGPT/Prompt Injection Incident (The Verge Reference): https://www.theverge.com/ai-artificial-intelligence/881574/cline-openclaw-prompt-injection-hack Summary In this episode, I’m finally breaking down what AI Engineering actually looks like in 2026. We’ve moved past the "wow" phase of demos into the hard reality of production, where models lie, costs spike, and security is a nightmare. I define the role formally—separating it from ML engineering—and dive deep into the three core problems we solve daily: hallucinations, real-time knowledge, and context engineering. I also explore the explosion of agent runtimes, specifically dissecting OpenClaw (formerly Clawdbot/Moltbot) and why its open-source, device-local approach is winning. We talk about the Model Context Protocol (MCP), the new SKILL.md standard from Anthropic, and why I believe multi-agent concurrency is the inevitable future of software. Chapters 00:00:00 Intro: The "Monday Morning" AI Nightmare 00:08:15 What is AI Engineering? 00:21:00 AI Engineers vs. ML Engineers 00:36:20 Problem 1: Hallucinations 00:48:30 Problem 2: Real-Time Knowledge 00:59:00 Problem 3: Context Engineering 01:13:00 Agents 01:17:30 MCP (Model Context Protocol) Explained 01:22:30 SKILL.md: The New Standard 01:39:00 The 2026 Trend: Multi-Agent Concurrency 01:42:30 Build Your Own OpenClaw 01:52:00 Conclusion: Moving from Talk to Action ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Mikhail Korolev: How to Hack the Job Market & Get Into VIP Rooms

Links - CodeCrafters: https://codecrafters.io - Kyle Simpson (You Don't Know JS): https://www.youtube.com/watch?v=BEMG7Oxuan8 - Josh Goldberg (CFP Advice): https://www.joshuakgoldberg.com/blog/how-i-apply-to-conferences/ - JSHeroes CFP Guide: https://jsheroes.io/ (See blog section) - CFP.watch (by Roudy): https://cfp.watch - confs.tech (mentioned at ~00:34): https://confs.tech - Guillermo Rauch Episode: https://open.spotify.com/episode/6NzkPBjwpwLmhIntEUB95x?si=51ac6de6d8fa4f8e - Santosh Yadav Episode: https://open.spotify.com/episode/7HIl3zqyDd3cZDmJLzKR58 - Jeff Escalante Episode: https://www.youtube.com/watch?v=uf2E3dWfK3k - System Design in 15 Minutes (Hello Interview): https://www.hellointerview.com/learn/system-design/in-a-hurry/introduction - Mikhail Korolev (X/Twitter): https://x.com/mkrl__ - Mikhail on GitHub: https://github.com/mkrl - Mikhail on LinkedIn: https://www.linkedin.com/in/mkrl/ - Mikhail on Bluesky: https://bsky.app/profile/mkrl.xyz Summary I sat down with Mikhail "Misha" Korolev to discuss a reality many engineers face but rarely talk about: how to get into rooms where you technically "don't belong." We explored his journey from being unemployed after Toptal to networking his way into VIP dinners and eventually landing a role at Tekmetric. We dug deep into the "Pac-Man Rule" for networking, why I believe you shouldn't pursue DevRel jobs at companies with unfinished products, and the specific "cheat codes" Misha used to bypass standard interview gates—including how he used ChatGPT to speed-run a LeetCode assessment. If you're currently navigating the job market or trying to pivot from engineering to public speaking, this conversation is a masterclass in making your own luck. Chapters 00:00:00 Intro & Sponsors 00:02:45 The "VIP Dinner" Strategy 00:06:00 How to Enter Rooms You "Don't Belong" In 00:12:20 The Pac-Man Rule for Networking 00:15:00 Dealing with Competitive Networking (The MKBHD Effect) 00:20:00 Why You Shouldn't Idolize Tech Celebrities 00:28:00 How to Start Speaking at Conferences (CFP Hacks) 00:35:00 Live Coding vs. Pre-recorded Demos 00:43:00 The Truth About DevRel vs. Engineering 00:58:00 Misha's Accidental Path to Engineering (Quake & Turbo Pascal) 01:07:30 Job Hunting in a Brutal Market 01:13:30 Using ChatGPT to Pass LeetCode Interviews 01:20:00 Getting Referrals (The Supabase Story) 01:27:00 Closing Advice: Just Go ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

How to communicate well: interpersonally, in teams, and on stage

LINKS * CodeCrafters (Sponsor) [https://tej.as/codecrafters] * Steve Jobs iPhone Introduction (2007) [https://www.youtube.com/watch?v=VQKMoT-6XSg] * Steve Ballmer "Developers" [https://www.youtube.com/watch?v=Vhh_GeBPOhs] * Bill Clinton "I did not have sexual relations" [https://www.youtube.com/watch?v=_aGbdni7QNs] * Tejas's First Talk (JSConf EU) [https://www.youtube.com/watch?v=ONlLvZWXv1Y] * Tejas at React Summit (The "Sweaty Room" Talk) [https://www.youtube.com/watch?v=7Urm4xbw4RA] * Amy Cuddy's Power Posing TED Talk [https://www.ted.com/talks/amy_cuddy_your_body_language_may_shape_who_you_are] * Diazno on ConTejas [https://tej.as/podcast/ep/diazno-how-to-unlock-creativity-taste-and-leadership] * "Thin Slicing" (Ambady & Rosenthal) [https://courses.media.mit.edu/2004fall/mas921/Ambady%20Rosenthal%201992.pdf] * Mehrabian's 7-38-55 Rule (Original Paper) [https://psycnet.apa.org/record/1967-10403-001] * Elaboration Likelihood Model (Petty & Cacioppo) [https://richardepetty.com/wp-content/uploads/2019/01/1986-advances-pettycacioppo.pdf] * Cognitive Load & Multimedia Learning (Mayer/Wiley) [https://eclass.uth.gr/modules/document/file.php/PRE_P_122/%CE%98%CE%B5%CF%89%CF%81%CE%AF%CE%B5%CF%82%20%CE%BC%CE%AC%CE%B8%CE%B7%CF%83%CE%B7%CF%82%20%CE%BA%CE%B1%CE%B9%20%CE%B3%CE%BD%CF%89%CF%83%CF%84%CE%B9%CE%BA%CE%AD%CF%82%20%CE%B8%CE%B5%CF%89%CF%81%CE%AF%CE%B5%CF%82%20---%20%CE%95%CE%BA%CF%80%CE%B1%CE%B9%CE%B4%CE%B5%CF%85%CF%84%CE%B9%CE%BA%CF%8C%CF%82%20%CF%83%CF%87%CE%B5%CE%B4%CE%B9%CE%B1%CF%83%CE%BC%CF%8C%CF%82/Richard%20E.%20Mayer-Multimedia%20Learning-Cambridge%20University%20Press%20%282009%29.pdf] * Narrative transportation [https://pubmed.ncbi.nlm.nih.gov/11079236/] * Exposure Therapy for Public Speaking (Frontiers) [https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2019.00488/full] * Breathing & Physiological Sigh (PMC) [https://pmc.ncbi.nlm.nih.gov/articles/PMC10741869/] * Deliberate practice [https://philpapers.org/rec/ERITRO-4] * Feedback [https://pubmed.ncbi.nlm.nih.gov/32038429/] * Spacing + retrieval practice [https://pubmed.ncbi.nlm.nih.gov/16719566/] SUMMARY In this episode, we're doing something different. Instead of analyzing code, we're analyzing the science of communication. I've spoken on hundreds of stages, from massive conferences to small, sweaty rooms, and I've learned that great speakers aren't born—they're built. We're going to dismantle the "talent" myth and replace it with a repeatable system. I'll walk you through the three levers of connection (Clarity, Trust, Energy), debunk the famous 7-38-55 rule, and give you practical frameworks like the "4 L's of Listening" and the "4 C's of Storytelling." Whether you're an engineer trying to get buy-in for a refactor or a founder pitching a VC, this is how you make your ideas inevitable. CHAPTERS 0:00:00 Intro 0:03:00 The Steve Jobs & Obama Standard 0:07:37 The 3 Levers: Clarity, Trust, Energy 0:10:33 Why Communication Fails (A Quick Diagnostic) 0:16:16 Debunking the 7-38-55 Rule (Mehrabian) 0:25:21 The 4 L's of Listening: Listen, Loop, Label, Lead 0:36:55 The One-Sentence Thesis 0:44:54 How to Change Minds (Elaboration Likelihood Model) 0:57:15 High Stakes vs. Low Energy: Reading the Room 1:03:00 Storytelling: The 4 C's (Context, Conflict, Choice, Change) 1:13:57 Delivery: Removing Fluff & Cognitive Load 1:21:00 Voice Control: Pace and Emphasis 1:24:40 Gestures: The "Check the Floor" Mental Model 1:30:56 Managing Nerves: Power Posing & Reappraisal 1:44:40 The 7-Day Action Plan ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.