👩💻Move Over Vibe Coding "Agentic engineering" is here.Plus: My conversation with Caltech's Data Architect about coding, SQL, and Humble engineers.
Here is what we have today, team:
📰 AI News and Trends
Other Tech News
My Conversations with Caltech Data Architecture.Vibecoding, future-proofing your career, data, SQL, humble engineers and more.
I had the pleasure to sit down with and interview, Armando Plasencia, Caltech Data Architect with 25 years of experience in the Data and Tech world. While chatting, he shared that long-term success in tech will be driven less by mastering specific tools and more by curiosity, humility, and community. He stresses that engineers must keep learning daily as AI automates routine coding, while strong collaboration and openness to feedback now outperform solo expertise. Plasencia highlights open-source as a fast-track career path, noting that contributors gain real-world experience with software used by hundreds of thousands of companies and build trusted professional networks. He also points to low-code and no-code platforms that can reduce development from months to minutes, shifting software creation toward business logic rather than syntax, while emphasizing SQL and data sovereignty as critical skills in an AI-driven era. This is the entire conversation, and we will be uploading shorts on our Substack Notes account.  Move Over Vibe Coding Agentic engineering is here.
A year ago, although it seems many more than that, Andre Karpathy coined the term Vibecoding. During that year we have seen apps like cursor more than 10x in value and usage, and other apps like lovable and repplit become darlings for any one wanting to build apps but lacking coding knowledge. The hype of prompting AI to build Apps and create code is now in the past and we are moving to Agentic Engineering, a new term coined by Andre as well, which is the act of AI coding itself. Researchers have demonstrated that large multi-agent AI systems can now run for days with minimal human input, generating ~1,000 software commits per hour and executing 10+ million actions while building and maintaining complex products like a web browser. This signals the rise of “self-driving codebases,” where AI increasingly designs, writes, tests, and fixes software on its own, a trend that could automate 80%+ of enterprise development within five years and cut software costs by 50–70%. While this does not yet qualify as full AGI, it shows early AGI-like behavior in narrow domains such as engineering, with systems capable of long-term planning, self-correction, and collaboration. As technology begins to build itself, human value will shift toward problem framing, system design, and governance rather than manual coding, making these skills essential for today’s youth. At the same time, cybersecurity risks will rise sharply, as autonomous systems can discover and exploit vulnerabilities in hours, enable self-evolving malware, and amplify supply-chain attacks, meaning future digital security will depend as much on controlling AI behavior as on defending traditional infrastructure. 📚Learning CornerReinforcement Learning: An Introduction – Sutton & Barto
What is the Key to Physical AGI?
Robots Will Learn Like Humans. Data, Not Hardware, Is the Key to Physical AGI Researchers argue that the main barrier to achieving Physical AGI in robotics is not hardware or algorithms, but data, as today’s robots are trained on only thousands of hours of controlled demonstrations compared to the billions of human-years behind modern language and vision models. The only scalable solution is capturing massive amounts of human egocentric video, potentially 100+ million hours, equivalent to 150 lifetimes of experience, and using it to train “world models” that learn physics, cause-and-effect, and task dynamics by predicting how scenes evolve over time. By learning from human experience first and then transferring that knowledge to robots, early systems like DreamZero have already shown 40%+ performance gains from just minutes of video data, suggesting that robots can acquire general physical intelligence with minimal retraining. This approach favors humanoid or human-like machines, which reduce the gap between human and robot movement, and points to a future where robots learn primarily by watching people rather than being manually programmed. If successful, this paradigm could enable robots to perform complex real-world tasks with little supervision, marking a realistic path toward Physical AGI driven by large-scale human experience rather than handcrafted robotics data. 🧰 AI Tools of The DayGenerative Video & World-Model Architectures
🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions.
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Monday, February 9, 2026
👩💻Move Over Vibe Coding "Agentic engineering" is here.
Thursday, February 5, 2026
Are Small Nuclear Reactors the Solution?
Today, we share a step-by-step guide to the DRAG method, a practical way to use AI to make you smarter and more focused, instead of fueling digital “brain rot.” We also break down how small modular nuclear reactors could reshape clean energy, and highlight the best tools and learning resources for building AI agents in 2026.
📰 AI News and Trends
Other Tech News
Your Payment Processor Is Hiding Your Revenue Leaks
Most businesses think churn = cancellations. - That’s wrong. What your payment processor doesn’t clearly show you:
We built a real-time financial command center on top of Stripe and any payment processor that shows:
Are Small Nuclear Reactors the Solution?
Next-generation nuclear reactors are breaking away from the massive, slow, and expensive 20th-century model by going smaller, safer, and more efficient. New small modular reactors (SMRs) can be factory-built, installed faster, and scaled as needed, cutting construction risk and potentially lowering costs. Advanced fuels like HALEU (5–20% U-235) and TRISO particles can run longer between refueling and withstand temperatures above 3,200°F (1,800°C), improving safety. Meanwhile, alternative coolants like molten salt, liquid metal, and gas allow reactors to operate above 500°C, versus ~300°C for water, boosting efficiency while reducing high-pressure risks. With global electricity demand rising from AI data centers, climate systems, and industrial electrification, these designs aim to deliver clean, reliable power faster if they can prove they’re truly cheaper and scalable. 📚Learning Corner
The DRAG MethodHow to Use AI to Upgrade Your Brain.
Using AI correctly may not be as simple as we think. Most people are getting very lazy and relying on language models to do their thinking for them, and as the saying goes, “if you don't use it, you will lose it.” We are utilizing our brains less and less as technology provides us with powerful tools that don’t require much thinking on our part, but if we use them wisely, we can actually get more out of them, which will allow us to become brighter and mentally sharper. That is when AI becomes a thinking amplifier; it takes your low-value cognitive load, sharpens your reasoning, and helps you move faster on the work that actually compounds. The 4-Step FrameworkStep 1 — DRAG the “Zone 1” Work Off Your PlateThink of your work in two zones: Zone 1 = low-stakes, repeatable tasks. The goal is to delegate Zone 1 to AI so you can obsess over Zone 2. Use DRAG to offload the mundane:
Weekly win condition: if AI doesn’t save you 3–10 hours/week, you’re under-delegating.
Step 2 — Climb the Intelligent Hill (Stop “Hope-and-Pray” Prompting)Most people do zero-shot prompting:
Instead, climb the “intelligent hill” through 4 levels. Each level increases quality and reduces hallucinations. Camp 1 — One-shot Prompting Give one example of what “good” looks like. Use it when you want a specific style (newsletter, LinkedIn, pitch deck tone).
Camp 2 — Few-shot Prompting Give 3+ examples so it can learn patterns. Use it when you want a consistent brand voice across a whole system.
This forces clarity and reveals your own “hidden rules.” Camp 3 — Chain-of-thought Reasoning (Slow the model down) The goal is to reduce sloppy output by forcing explicit reasoning. This is used when stakes are higher (strategy, analysis, numbers, decisions).
Camp 4 — Agents (AI as a team)Treat AI like multiple specialists, not one chatbot. You can use this when researching → synthesizing → writing in one flow.
Before you hit enter, try asking this to see the results: Step 3 — Build the Intelligent Gym (AI as Your Spotter)A “spotter” doesn’t lift for you. They are safe resistance so you get stronger. Use AI to force higher-quality thinking:
Step 4 — Use the Fool’s Advantage (Learn-it-all Mode)The “fool’s advantage” is the willingness to look dumb long enough to get smart. AI makes that cheap. Instead of avoiding hard topics, you can:
Please share your experience using the drag method and whether it has become beneficial. 🧰 AI Tools of The DayAI Agents - Easy Apps to start with.
🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions.
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