How to integrate DBOS with Logfire using Pydantic

Tech With Tim: I Let 3 AIs Compete to Build the Same App… I pitted Blitzy, Devin, and Factory AI against each other, giving all three the exact same real-world app-building task to see which one delivers production-ready code fastest and with the least handholding. By using a single prompt and measuring results against SWE Bench benchmarks, the experiment tracks how much effort each platform needs—from code generation and debugging to final deployment. Bottom line: Blitzy shines with a structured pipeline, Devin excels at interactive iteration, and Factory AI scores points for modular, agent-based workflows. Your ideal choice boils down to whether you want full automation, tight control, or a balanced middle ground—just jump to the timestamps to compare each platform in action. Watch on YouTube https://lnkd.in/gcPEB4cR

Updated my Streamlit AI Content Generator with an end-to-end API + local inference + export features — now easier to run locally and integrate into other apps. Key changes 1. FastAPI inference endpoint (serves local HF/Ollama model) 2. Dockerfile + GitHub Actions for CI 3. Auth + usage quotas + export to Markdown/PDF

👩💻 Have you tested models in the Code Arena yet? Our tech leads Aryan Vichare and Graham Tremper walk through how anyone can test how all the best frontier AI models plan, scaffold, debug, and build real web apps step by step. 🎥 Watch the full walkthrough on YouTube: https://lnkd.in/grjeb6Rf 🛠️ Get Building: lmarena.ai/code

So cool. Real development is iterative. Devs need models that can handle multi-turn, multi-agent workflows - not just single-shot code gen.

New n8n Webhooks video is live. A lot of people struggle with webhooks in n8n — and that’s totally normal. But webhooks are incredibly powerful and anyone working on building AI Automations in n8n should know how they work. They allow apps to instantly notify n8n when something changes Many services in n8n include native trigger nodes, but when they don’t… webhooks fill the gap and allow any external service or website to kick off an automated workflow. What We’ll Cover Today 🔹 What a Webhook Trigger does 🔹 How to configure the Webhook Node 🔹 Security + validation best practices 🔹 HTTP methods (GET vs POST) 🔹 Postman & cURL What You Can Do With Webhooks in n8n 💡 Receive data directly into n8n → process it → send a response back to the website 💡 Forward data to another application and take automated actions 💡 Build real-time integrations even when no official trigger exists Tutorial linked below

There's a huge gap between a vibe coded prototype and a real SaaS app. Tomorrow, I'm dropping a new tutorial with my friend Colin (taught AI coding to 8,500+ students) where he converted my vibe coded app into the real thing with: ✅ User authentication ✅ Payment processing ✅ Email integration ✅ Error logging ...and more. He also showed me how most vibe-coded apps have security flaws that exposes user data. 😬 📌 Subscribe to get our full tutorial tmr: https://lnkd.in/gTq37_id

📂Learn how to prepare and vectorize your context — the key to accurate, #AI-powered responses. Featuring PDF ingestion and #InterSystemsIRIS integration 👇 https://lnkd.in/dAyrc5Kj Build smarter #GenAI apps with the right context and #vectorsearch!

A simple illustration of how to to get GenAI to address your queries, using your data, more accurately and with exposing your data or prompts to the wider world. Use the same platform to store your structured, unstructured and vectorised data to simplify your tech stack and drive down the cost of building, maintaining and operating your solutions. That incidentally recent events has shown is one of the most robust platforms available today….

I never told the story how we came up with the name Agenta. It's actually quite funny. But I will keep that for another day. Because today we're making the second most exciting announcement of the week (tomorrow is going to be the most exciting one, so stay tuned) Today we're shipping the evaluation SDK. Most LLM apps today are complex agents with multiple steps, tool calls, and retrieval flows. It's hard to handle this complexity from the UI only. That's why we built the Evaluation SDK. Now you can evaluate complex agents programmatically: - Create test sets in code - Write custom evaluators or use built-in ones like LLM-as-a-judge - Evaluate your agent end-to-end or specific steps/spans - View the results in the Agenta dashboard The SDK works with any agent framework. OpenAI Agents SDK, LangGraph, custom implementations, whatever you're using. Watch the demo 👇

Tech With Tim: I Let 3 AIs Compete to Build the Same App… I Let 3 AIs Compete to Build the Same App… I pitted Blitzy, Devin, and Factory AI against each other on a real-world dev task to see which delivers the best code quality, speed, and least manual tweaking. Each platform’s unique approach was stress-tested, and I tracked how much elbow grease I still had to put in as the human programmer. Along the way, I shared all the links you need—video demos, AWS Card demo repo, and each tool’s SWE Bench report—so you can dive in yourself. Timestamps let you skip to the juicy bits: prompt setup, performance metrics, and side-by-side code walkthroughs. Happy testing! Watch on YouTube https://lnkd.in/g6Qm4v5v