AI support agents shouldn't try to answer every ticket.
In this guide, @TechWithRJ2 shows you how to build an AI support agent that escalates risky cases instead of guessing.
You'll use a pure-function decider, grounded drafting, consensus verification, caching, and observability to make support automation safer.
https://t.co/Xy5h8hdjNd
API authentication can work, but still be insecure if you don’t understand how it fails.
In this article, @devseyi breaks down Basic Auth, API keys, JWTs, OAuth 2.0, OIDC, and mTLS.
You’ll learn when to use each approach, its trade-offs, and the failure modes to watch for in production.
https://t.co/t0d71k3bJ9
The open source community offers devs many opportunities to collaborate, learn, & grow.
Contributing to OSS helps you develop skills, get key experience when job hunting, and so on.
If you want to dive in, this course will teach you how to get involved.
https://t.co/EYRfb2WVB0
Is Jev AI actually new? No. You could build the same thing with an LLM and Pydantic AI. But it's fast, cheap, and tidy, and it earned a spot in our toolbox.
Our honest first look: https://t.co/1VLXuSmFnE
Building a reliable AI assistant involves more than just sending prompts to a model.
In this tutorial, Chidozie helps you build a customer-support assistant with the Claude API.
He covers conversation memory, tool use, workflows, and evaluation.
https://t.co/C9EqwirLUZ
TU AGENTE DE IA YA PUEDE EXTRAER DATOS DE CASI CUALQUIER WEB
X, YouTube, Reddit, foros random, webs sin API… básicamente lo que necesites para research, análisis o monitoring.
acaban de subir a GitHub 3 herramientas open source que le dan a tu agente ese superpoder.
1. Agent-Reach
junta X, YouTube, Reddit, GitHub y más en un solo sitio.
https://t.co/yawDnTZk2g
2. Patchright Enhanced
usa Playwright para escuchar peticiones de webs sin API y sacar los datos con un script.
https://t.co/M5tHnH2aWr
3. Scrapling
scraper de propósito general para cualquier página web.
https://t.co/mQR069yL39
le dices qué datos necesitas → escribe el código → los recolecta → te da el resultado.
ejemplos reales:
"recoge los posts de 100 cuentas de X del último mes y dime qué temas están funcionando"
"saca reviews de este producto en Reddit y YouTube y resúmeme las quejas principales"
básicamente le das a tu agente la capacidad de sacar datos de casi cualquier lugar de internet.
eso abre un nivel de automatización que hasta hace nada era impensable.
Algorithmic trading combines market data, strategy logic, and brokerage APIs into one system.
In this course, you'll learn how to build a momentum trading app with Python and Django.
You'll use Massive, SnapTrade, and Alpaca Paper to generate signals and execute paper trades along the way.
https://t.co/aiMSUmZ9Nz
AI coding agents can build quickly, but unstructured workflows can create fragile software.
In this handbook, Qudrat shows you how to build a software factory with Claude Code.
You'll create specialized agents, an orchestrator, hooks, and review workflows for safer production development.
https://t.co/EBUiXWbon6
Anthropic vient de publier un guide de 37 minutes expliquant comment créer des Agents IA capables d’automatiser une entreprise entière.
( THREAD🧵 La suite de la vidéo est dans les commentaires. )
C’est gratuit et ça vient directement des ingénieurs qui ont créé Claude.
Des Agents qui fonctionnent réellement, délèguent des tâches et accomplissent leur travail de manière autonome.
🔖 Mets ce guide en signet. Tu risques d’en avoir besoin plus vite que prévu.
Google lanzó la herramienta que todo desarrollador pedía desde hace años.
Se llama CodeWiki.
Pegas cualquier repositorio y la IA lo convierte automáticamente en una documentación interactiva.
No solo resume el código:
• Genera diagramas automáticamente
• Explica cómo funciona cada parte
• Crea tutoriales paso a paso
• Detecta arquitectura y dependencias
• Y hasta monta un chatbot que entiende tu código completo
Básicamente:
convierte proyectos imposibles de entender en algo que cualquier desarrollador puede navegar en minutos.
Enlace abajo👇
OAuth 2.0 is an authorization framework that lets third-party apps access user data on another service without sharing passwords.
And this course teaches you how it works.
You'll learn about the four OAuth roles, building the authorization server, debugging, and lots more.
https://t.co/yfjHc7hPET
Enterprise data can contain the answers you need, but it's often difficult to query effectively.
In this book, Roni shows you how to build and evaluate a GraphRAG system with Python, Neo4j, and ServiceNow.
You'll model CMDB data as a graph, build multiple retrieval strategies, run your own LLM, and measure what actually works.
https://t.co/nInvGE9gPp