84% of developers use AI to code (Stack Overflow, 2025). Most stop at autocomplete. Inside Domino, your assistant learns the rest of the lifecycle. Training. Deployment. Governance. Monitoring. Same prompt. Whole platform. Blueprint: https://
hubs.ly/Q04fnbm-0
AUTOMATION
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Domino platform integrates AI lifecycle management from training to deployment
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Architecting Infrastructure for Long-Horizon AI Agents
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Join our live session and learn: How to think about the agent harness vs. the runtime layer underneath it What infrastructure long-horizon agents need for durable, stateful execution How to plan for memory, recovery, human intervention, observability, and scale Why
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Technical Production Requirements for Long-Horizon AI Agents
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Long-horizon agents introduce production requirements that short-running agents don’t: durable execution, state management, recovery, memory, observability, and human oversight. On May 28th, join @sydneyrunkle for a live session on The Runtime Behind Production Long-Horizon
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ByteDance AI Video Model Sparks China’s Next Big Moment
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ByteDance’s new AI video model goes viral as China looks for second DeepSeek moment
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @timnitgebru @oriolvinyalsml @ceobillionaire @soumithchintala @waitin4agi_ @sallyeaves @bernardmarr -
Arcade’s Multi-User AI Agents for System Automation
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@TryArcade is rejoining us at Interrupt! Stop by their booth during the show and see how you can ship multi-user agents that take actions across any system, with security and control built in. -
Deploy Agent Swarms to Build Custom Complex Software
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🚨 BREAKING – Use Agent Swarms To Build Complex Software Systems
— Abacus.AI (@abacusai) 8 mai 2026
Use
– Opus 4.7
– GPT 5.5 Thinking and
– Gemini 3.1
combined into an Agent Swarm to build complex full-stack software products
Stop paying for CRMs and SaaS, Just create custom software tailored for your… pic.twitter.com/fGVkGiLceEBREAKING – Use Agent Swarms To Build Complex Software Systems Use
– Opus 4.7
– GPT 5.5 Thinking and
– Gemini 3.1 combined into an Agent Swarm to build complex full-stack software products Stop paying for CRMs and SaaS, Just create custom software tailored for your -
LangSmith Launches as a Remote MCP Server for AI Assistants
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LangSmith is now a remote MCP server. Point any MCP-capable client at it, sign in with your LangSmith account, and your assistant can read: Traces Projects Datasets Prompts Billing No local server or API keys necessary. Try it today.
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Codex Goal Feature for Long-Running Tasks
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/goal in Codex is wild!
— Vaibhav (VB) Srivastav (@reach_vb) 8 mai 2026
Give Codex the mission.
Tell it what “done” looks like.
Let it keep going until it hits the end state.
Perfect for big refactors, migrations, retry loops, long-running experiments, and all the “don’t stop until this works” tasks.
Enable it in… pic.twitter.com/6VZKGHt7Ch/goal in Codex is wild! Give Codex the mission.
Tell it what “done” looks like.
Let it keep going until it hits the end state. Perfect for big refactors, migrations, retry loops, long-running experiments, and all the “don’t stop until this works” tasks. Enable it in -
Routing tasks to cheapest model that meets quality bar
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What changed in May 2026: > Before: you picked one model and committed.
> After: you route tasks to the cheapest model that meets the quality bar. DeepSeek V4-Pro scores within 7-8 points of Claude Opus 4.7 on SWE-bench. At 1/7th the cost during promo. The prompting skill -
LangChain adds API support for AI due diligence research agents
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@p0
's API suite is now supported in LangChain, and they wrote a cookbook for a due diligence agent. We're part of the recipe:
• Deep Agents for orchestrating dedicated research track subagents
• @p0
’s Task API for research, findings, confidence scores, and follow-ups Full