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📦 The new official Server Package makes Auth easy in Edge Functions! It automatically handles: ✅ JWT Verification 🔑 Authenticated queries 👮‍♂️ Admin client 🌐 CORS And is compatible across Deno, Cloudflare Workers, Vercel Functions, Hono and Bun!

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Announcing Deno 2 support and deployments from the dashboard for Edge Functions! Deno 2 brings package.json and node_modules support, allowing you to bring over Node.js apps without modifying them. You can also edit/ deploy Edge Functions right from your Supabase dashboard!
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Announcing Deno 2 support and deployments from the dashboard for Edge Functions! Deno 2 brings package.json and node_modules support, allowing you to bring over Node.js apps without modifying them. You can also edit/ deploy Edge Functions right from your Supabase dashboard!

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JWT in 60 Seconds 👇 What is JWT ? JWT = JSON Web Token A compact, URL-safe token used for: - Authentication - Authorization - Secure API communication - Identity sharing between services It is digitally signed, so it can be verified and trusted. 🟢 Why JWT exists Typical flow without JWT: User → Application → Database (Session Store) - Server stores sessions - Requires memory/storage - Hard to scale in microservices - More infrastructure complexity - Needs sticky sessions behind Load Balancer - This doesn’t scale well in distributed systems. 🟢 JWT comes into the picture - JWT is stateless authentication. New flow: User → Application → JWT → Client → API - No session stored on server - Token carries user identity & claims - Server only verifies signature - Perfect for scalable systems. 🟢 Complete JWT request flow 1️⃣ User logs in with credentials 2️⃣ Server validates user 3️⃣ Server generates JWT (Header + Payload + Signature) 4️⃣ Client stores JWT (usually in browser/app) 5️⃣ Client sends JWT in Authorization header 6️⃣ Server verifies signature 7️⃣ If valid → Access granted No database lookup for session needed. 🟢 Where JWT is used in real systems? - REST APIs - Microservices authentication - OAuth2 / SSO - API Gateways - Kubernetes dashboards - CI/CD tools - Mobile & SPA applications - Almost every modern cloud-native app uses JWT. 🟢 JWT in DevOps & System Design : As a DevOps engineer, JWT knowledge is used in: - Designing stateless applications - Scaling apps behind Load Balancers - Implementing API security - Working with IAM & OAuth providers - Securing microservices communication - Reducing session storage dependency Stateless auth = Better scalability + Simpler infrastructure Thanks for reading. Happy Learning !
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JWT in 60 Seconds 👇 What is JWT ? JWT = JSON Web Token A compact, URL-safe token used for: - Authentication - Authorization - Secure API communication - Identity sharing between services It is digitally signed, so it can be verified and trusted. 🟢 Why JWT exists Typical flow without JWT: User → Application → Database (Session Store) - Server stores sessions - Requires memory/storage - Hard to scale in microservices - More infrastructure complexity - Needs sticky sessions behind Load Balancer - This doesn’t scale well in distributed systems. 🟢 JWT comes into the picture - JWT is stateless authentication. New flow: User → Application → JWT → Client → API - No session stored on server - Token carries user identity & claims - Server only verifies signature - Perfect for scalable systems. 🟢 Complete JWT request flow 1️⃣ User logs in with credentials 2️⃣ Server validates user 3️⃣ Server generates JWT (Header + Payload + Signature) 4️⃣ Client stores JWT (usually in browser/app) 5️⃣ Client sends JWT in Authorization header 6️⃣ Server verifies signature 7️⃣ If valid → Access granted No database lookup for session needed. 🟢 Where JWT is used in real systems? - REST APIs - Microservices authentication - OAuth2 / SSO - API Gateways - Kubernetes dashboards - CI/CD tools - Mobile & SPA applications - Almost every modern cloud-native app uses JWT. 🟢 JWT in DevOps & System Design : As a DevOps engineer, JWT knowledge is used in: - Designing stateless applications - Scaling apps behind Load Balancers - Implementing API security - Working with IAM & OAuth providers - Securing microservices communication - Reducing session storage dependency Stateless auth = Better scalability + Simpler infrastructure Thanks for reading. Happy Learning !

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Working with Edge Functions just got a major upgrade: → Function list & search → Copy-paste snippets → Built-in testing → Download as zip Update your self-hosted Supabase instance: >
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Working with Edge Functions just got a major upgrade: → Function list & search → Copy-paste snippets → Built-in testing → Download as zip Update your self-hosted Supabase instance: >

Supabase

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We built a Supabase integration for OpenCode and tested it inside Minecraft. The agent created a table, populated it with data, and deployed an Edge Function without ever leaving a survival world. Nobody touch the dirt house. 🧱 👉

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New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

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I missed this when it was released a few weeks ago... probs the most unhinged crab robot out there. Love to see it. What it is: A heavy-duty construction robot that can swap tools and arms automatically during operation. Think modular platform rather than a single-purpose machine. Key specs: - 100kg payload, 4m reach, Fits in a Euro-pallet for easy transport - Autonomous tool switching via standardised interfaces - Handles placement, fastening, finishing, and inspection What makes it different: Designed from first principles for construction work, not human mimicry. The modular architecture means one robot tackles multiple tasks across different build phases without redesign.
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I missed this when it was released a few weeks ago... probs the most unhinged crab robot out there. Love to see it. What it is: A heavy-duty construction robot that can swap tools and arms automatically during operation. Think modular platform rather than a single-purpose machine. Key specs: - 100kg payload, 4m reach, Fits in a Euro-pallet for easy transport - Autonomous tool switching via standardised interfaces - Handles placement, fastening, finishing, and inspection What makes it different: Designed from first principles for construction work, not human mimicry. The modular architecture means one robot tackles multiple tasks across different build phases without redesign.

Jack 🤖

29,454 Aufrufe • vor 11 Monaten

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.
0:22

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

118,124 Aufrufe • vor 1 Monat

Announcing Declarative Schema, a new way to simplify managing your growing database schema! Declarative schema stores the final state of the database in SQL files, making them the single source of truth. We use it internally to manage our prod db, and we hope you love it too!
0:47

Announcing Declarative Schema, a new way to simplify managing your growing database schema! Declarative schema stores the final state of the database in SQL files, making them the single source of truth. We use it internally to manage our prod db, and we hope you love it too!

Supabase

33,881 Aufrufe • vor 1 Jahr