[auth] Part of deploying agents to production is deploying them in a multi-tenant way Auth is the way to do that! We support integrations with @clerk and @supabase
AUTOMATION
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DeepAgents Deploy: Configuration-Driven Cloud Agent Harness Setup
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DeepAgents deploy is a simple, configuration driven way to get an agent harness deployed to the cloud deepagents.toml is the file that configures it. It has four sections:
– agent
– sandbox
– auth
-frontend Here's what each one does -
Small Models Handle Repetitive Agent Task Layers Efficiently
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Any repetitive agent task layer – routing, validation, retrieval – small models can handle it
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AI-Powered Dispute Responder Wins First $1,199 Stripe Case
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For the first time in a decade on @Stripe I've started winning disputes with my vibe coded dispute responder I used to ignore disputes so I almost always lost them, now I've started winning, this one is the first big dispute for $1,199 USD! Whenever a dispute comes in, my
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Homelab Becomes Personal Cloud With GPU and AI Agents
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~2,000 miles from home – SSH into the mothership
– WireGuard tunnel like I’m on LAN
– Resolve everything over private DNS
– Routes via reverse proxies – Dispatch jobs to GPUs
– Sync state across agents
– Search conversations, traces, artifacts, logs My homelab is now the cloud -
Base44 Offers One-Click Secure Migration from Salesforce and Shopify
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I LOVE HOW @BASE44 HANDLES THIS
— Charly Wargnier (@DataChaz) 30 avril 2026
1-click migration from Salesforce, Shopify, Lovable… all the big dawgs.
Secure, read-only OAuth means your production data stays safe.
PLUS they import a 100-item preview first to test the waters before you commit 👀pic.twitter.com/xuZj6j1HxZ https://t.co/TiIRfRG8PdI LOVE HOW @BASE44 HANDLES THIS 1-click migration from Salesforce, Shopify, Lovable… all the big dawgs. Secure, read-only OAuth means your production data stays safe. PLUS they import a 100-item preview first to test the waters before you commit
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AI Agents Levels From Rule-Based to Autonomous Execution
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AI agents have levels 1. Rule-based (if-then automation) 2. Tool-using assistants 3. Strategic multi-step agents 4. Context-aware autonomous agents 5. Superintelligent digital personas (theoretical AGI) We’re moving from “AI that responds” → to “AI that executes
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Humanoid Robots in Logistics: Promise and Real-World Challenges
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Cursor Introduces Kanban Board for AI Agent Task Management
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THIS IS FREAKING AMAZING.
— Charly Wargnier (@DataChaz) 30 avril 2026
Cursor now has built a Kanban board where you can just drop in tasks and the agent will pick those up and complete them 🤯 pic.twitter.com/HOYTT76wmrTHIS IS FREAKING AMAZING. Cursor now has built a Kanban board where you can just drop in tasks and the agent will pick those up and complete them
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Browserbase Browser-Trace Skill Gives Agents Full Observability
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Okay, you need to see @Browserbase's new /browser-trace skill. 🤯
— Charly Wargnier (@DataChaz) 30 avril 2026
It literally gives your agent 100% observability into its browser.
We are talking full access: network requests, DOM content, screenshots, and CDP logs.
Everything gets dumped straight into a searchable… pic.twitter.com/s58CGhgD90Okay, you need to see @Browserbase
's new /browser-trace skill. It literally gives your agent 100% observability into its browser. We are talking full access: network requests, DOM content, screenshots, and CDP logs. Everything gets dumped straight into a searchable