Nerdearla Chile 2026
| title | author | length |
|---|---|---|
| Skills.md and agents.md You Must Master in 2026! | Maximiliano Contieri | 35m |
Introduces skills.md and agents.md as practical formats for building AI agents that delegate work rather than just answer prompts. Covers using skills as… | ||
| A Month with OpenClaw | Pablo Fredrikson | 35m |
OpenClaw is a local agent that runs on a Raspberry Pi (named Lupe) and connects to WhatsApp, Telegram, and Slack to perform practical tasks like creating a… | ||
| Building an Agentic Design System | Cristian Morales | 33m |
Describes building three Claude skills that became a retrieval-augmented pipeline for design systems, with auto-reporting, adoption tracking, and precise… | ||
| Mojo & MAX - A modern AI-first SW Development ecosystem | Chris Lattner | 28m |
A new stack is presented: Mojo, a Python‑like language built over four years with Mojo 1.0 in a few months and almost a million lines open‑source, and MAX, a… | ||
| The New Digital Divide: From Vibecoding to Engineering | Martí Cristóbal | 22m |
The talk examines a new digital divide created by AI-driven code generation, contrasting low-effort “vibecoding” (producing code without deeper understanding)… | ||
| Software Architecture Roles Were a Luxury… Until AI Learned to Code | Fabián Arismendi | 35m |
Examines building a production-ready system when code is generated by AI: starts from a typical ‘happy path’ prompt result and then evaluates gaps in… | ||
| The Third Golden Age | Grady Booch | 33m |
Grady Booch reviews historical waves of computing since the 1940s and argues current AI and automation fears repeat past transitions (structured programming… | ||
| Supporting Vibecoded Apps | Emilio Nagy | 31m |
Covers the challenges that arise when quickly built prototypes (“vibecodeadas”) are promoted to production, focusing on hurried decisions, security treated as… | ||
| The Hidden Potential of Face Morphing | Stelvin Saji | 10m |
Breaks down how modern morphing rigs actually work: landmark alignment, mesh interpolation, temporal blending and model-driven feature extraction, with… | ||
| AI Agent and the Promotion You Didn't Ask For | Felipe Sateler | 35m |
The talk explains how generative AI is moving from a toollike ‘copilot’ into embedded autonomous agents that join engineering teams. It covers designing a… | ||
| It Used to Be Crazy to Migrate Monoliths. Now an Agent Does It. | Maximiliano Britez | 34m |
Maximiliano Britez explains how generative AI and autonomous agents can now analyze, map and transform legacy monolithic codebases to perform assisted… | ||
| From Vibe Chaos to the Rise of Spec-Driven | Carlos Gauto | 57m |
Looks at moving from ad-hoc “vibe” prompt-and-fix AI coding to Spec-Driven Development by using living specifications, execution plans and testable tasks… | ||
| Build Your First AI Agent with Open Source | Ana Cunha, Hazel Saenz | 43m |
Builds a local Chilean wine sommelier agent using Olama Llama 3.1 and the Strand Agents Python library, loading a small local dataset and adding two callable… | ||
| Detecting Web Performance Problems with Chrome DevTools | Joan León | 31m |
Chrome DevTools provides built-in browser tools for diagnosing web and app performance; the talk walks through those specific DevTools features (timing… | ||
| 80% of AI Is Free. The Remaining 20% Could Cost You Everything | Nicolas Sandoval, Sergio Urin | 32m |
Explains the gap between quickly building functional generative-AI prototypes (the “80%” achievable in hours using current tools) and the hard remaining… | ||
| Stop Just Reading Tutorials and Build Something, Even if Useless: How to Learn GenAI Agents | Lesly Zerna | 36m |
Practical guide to learning GenAI agents by building simple, intentionally 'useless' prototypes (e.g., a bad joke generator or a failed calendar organizer)… | ||
| We Monitor Everything… Except What Matters | Carlos Andres Zambrano Barrera | 31m |
Describes operating AWS systems where abundant metrics, dashboards and alerts still failed to explain latency, intermittent errors and silent degradations… | ||
| Building a GenAI-Driven Developer Organization | Jeff Barr | 32m |
Amazon rebuilds Bedrock hosting infrastructure with GenAI under Project Mantle, using Amazon Nova for assets and surfacing models like Claude Opus 4.7. A… | ||
| Create Multi-Agent Systems with ADK | Felipe Velásquez | 54m |
A live demo shows how to build multi-agent systems using the ADK (Agent Development Kit) by running a Python ADK repository in Google Cloud Shell and using… | ||
| Dating Algorithms: What Are They Really Optimizing? | Andres Abeliuk | 35m |
Examines dating-platform matching algorithms (recommendation and ranking systems) to measure how much social welfare is lost when platforms optimize for user… | ||
| Preparing for Technical Interviews Without Dying Trying | Tatiana Rodriguez | 18m |
Practical guidance for surviving technical interviews, covering how to structure answers, handle live coding questions, and highlight non-technical strengths… | ||
| AI and the Future of Digital Products | Octavio Valenzuela | 32m |
The talk explains how generative AI and faster prototyping tools are accelerating digital product development—shortening idea-to-implementation cycles and… | ||
| Ciclo de Vida del Desarrollo Impulsado por IA | Rafael Mattje | 34m |
Claims a new IA‑DLC methodology that orchestrates AI across Conception, Construction, Operations to move beyond 10–15% boosts toward 20–40x throughput… | ||
| The Little World Revolution | Carla Hermann Avigliano | 35m |
An overview of the historical revolution in understanding light that gave rise to quantum mechanics, connecting early conceptual questions to modern quantum… | ||
| From Prompt Engineering to Context Engineering: Lessons from an AI Code Review Product | Juan Pablo Flores | 35m |
An engineer from CodeRabbit explains why LLM prompts alone are insufficient for useful AI code review and shows the product’s shift from sending diffs to… | ||
| Squeezing Your Microcontroller | Jonathan Pereira | 54m |
Introduction to using FreeRTOS on common microcontrollers like the ESP32 (even for people coming from Arduino) to organize embedded projects. Covers tasks… | ||
| Build AI Agents with Open Source | Ana Cunha, Hazel Saenz | 31m |
A step-by-step build of a Chilean sommelier AI agent implemented in Python using the Strends SDK and a local Olama model (Llama 3.1), then switched to Amazon… | ||
| Fraud Prevention, Machine Learning, and Design Patterns: Keep Your Analysts in the Loop | José Pablo Barrantes | 37m |
Designing antifraud systems that keep human analysts in the loop by combining machine learning, software engineering, and expert review. It presents a… | ||
| AI-first Without UI-first: Moving from Graphical Interfaces to Cognitive Systems | Ana Rangel | 34m |
The talk explains how product design shifts from UI-first to AI-first by treating interfaces as control panels for cognitive systems that interpret, decide and… | ||
| How We Organize UX Research Without Killing Creativity | Sabrina Nuñez Würth | 17m |
Describes using a SharePoint repository for research method documentation and a Figma workshop library for ready-to-use boards to close gaps from an internal… | ||
| Vibe Coding with AI Studio | Lesly Zerna | 53m |
How to build AI agents using the ADK and extend them with custom Python tool functions, connect them to real-time information via built-in tools like Google… | ||
| Game Over on the Bill: Playing the Cost Tetris in Kubernetes | Juan Jose Ciarlante | 34m |
Shows how to turn usage×price into USD/hour cost metrics for Kubernetes by calling cloud price APIs and joining them to PromQL-based usage (150–200 lines) with… | ||
| Cybersecurity in the Age of AI: The Main Challenges | Victor Mitrano | 31m |
Overview of how attackers and defenders use AI in cybersecurity, describing common AI-powered attack techniques and the main impacts on security operations… | ||
| LLMs on Autopilot: Running AI Agents on Kubernetes with Open Source Tools | Annie Talvasto | 30m |
Shows a working control-plane pattern that runs open-source LLM agents on Kubernetes to observe, reason, and act: metrics from Prometheus/CloudWatch feed an… | ||
| Extend Your Agents with Tools and Memory | Juan Irungaray | 55m |
A hands-on workshop shows how to build a Holiday Design Agent web app by wiring an ADK agent to a FastMCP tool registry and Gemini image models. The code… | ||
| Build with Wikimedia Open Data: APIs, SPARQL and Visualization | Carla Toro Fernández | 51m |
Hands-on workshop teaching how to use Wikimedia data (Wikipedia and Wikidata) via APIs and SPARQL and how to turn those queries into simple exploratory… | ||
| Chaos Testing for Chatbots: Simulating Customers to Evaluate AI Agents | Priyan Pattnayak | 17m |
Built an AI simulation framework that evaluates multi‑turn customer journeys rather than single prompts, using a customer simulator fed by seed questions from… | ||
| Burnout: The Hidden Failure Mode of High-Performing Teams | Diana Nanuti | 25m |
Argues burnout is a predictable systems failure, not a people problem, and shows concrete observability to catch it early: instrument concurrent PRs per… | ||
| Developers Documentation: your hidden strength | Frederic Harper | 39m |
Argues documentation is product-critical and cost-saving, so every release ships with matching docs and a search bar required on the site; shows a 5‑step… | ||
| Interview with Jeff Barr | Jeff Barr, Ariel Jolo | 22m |
Early anecdotes about dumpster dives in 1978 lead to concrete career facts: joined Amazon in 2002, launched the AWS News Blog in 2004 and writes 3,300+ blog… | ||
| Your Repository Knows More About Your Team Than Your Team Does | Andrea Griffiths | 36m |
Team X-Ray is a VS Code extension that analyzes people-level signals from a GitHub repository to reveal who communicates with whom, who mentors, and who enjoys… | ||
| The Poetry of Static Binaries | Nacho Codina | 24m |
The talk explains how the Go ecosystem was used to replace a hosted backend with a self-hosted solution composed of static Go binaries. It describes the… | ||
| Cyberpunk 2077 and the Architecture of Control: The City as a Playable System of Power | Rocío Mieres | 35m |
Applies the Glass Box framework to Cyberpunk 2077’s Night City, mapping four systems—Lúdico (game mechanics), Semiótico (symbols/assets), Simulado (simulated… | ||
| Web Accessibility for Deaf People | Maria Jose Paschcuan | 21m |
The talk examines web accessibility for deaf people, focusing beyond captions to specific design and development approaches: plain language, visually oriented… | ||
| From User to Contributor: A Practical Guide to Your First Open Source Contribution | A. Fael Garcia | 32m |
A practical, step-by-step guide to go from a passive user to an active open source contributor using NGINX Gateway Fabric (an NGINX implementation of the… | ||
| Teams That Scale: Human Architecture for High-Performing Tech | Natalia Sanchez | 56m |
Presents the CODE® model (Consciousness, Operation, Data, Ecosystem) for designing the human and operational architecture that enables high-performance… | ||
| Personalizing Your Random Numbers | Scott Sosna | 25m |
Claim: it's practical to personalize RNG entropy by ingesting real-world sources and replacing Java's next() with that stream. Implementation: a Spring Boot… | ||
| Streaming the Universe: When the Sky Became Big Data | Fernanda Urrutia | 35m |
The talk explains how the Vera C. Rubin Observatory turns the night sky into a continuous high‑volume data stream, producing a nightly “movie” of the Universe… | ||
| Cart Ready: From Local Context to Global Product | Walter Perl | 34m |
Describes how a Chilean team built an AI-driven customer-focused shopping product called "Carrito Listo" that improved the purchasing experience and produced… | ||
| Scaling Systems and Teams Together | Jose Ossa | 32m |
Explains how Front scaled its Node.js platform while also reorganizing team ownership, collaboration, and workflows; covers practical lessons learned, mistakes… | ||
| Building a GenAI-Driven Developer Organization | Jeff Barr | 32m |
Rebuilt the Bedrock hosting stack under Project Mantle using Amazon Nova images and multiple LLMs (Claude Opus 4.7 among them), delivering production parity in… | ||
| nothing matches | ||