codex seems to lose track of its subagents sometimes and forget to push them forward. the fix is to use a heartbeat sweep. just queue this up in your orchestrator thread: Heartbeat sweep. Do a full orchestrator pass across all work in flight right now and keep executing until
AUTOMATION
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Agentic AI: From Generation to Autonomous Orchestration
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Agentic AI = layered intelligence. AI/ML → Deep Learning → GenAI → AI Agents → Agentic AI. From: • Data → Decisions
to
• Content → Tasks
to
• Autonomous, governed systems. The future isn’t just generation.
It’s orchestration + memory + planning + safety. That’s the -
Building Reliable Agents for Production Deployment
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💫 New LangChain Academy Course: Building Reliable Agents 💫
— LangChain (@LangChain) 17 mars 2026
Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models.
Add multi-step reasoning, tool… pic.twitter.com/fWt2UhHQEbNew LangChain Academy Course: Building Reliable Agents Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models. Add multi-step reasoning, tool
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Using Codex Subagents to Resolve Production Issues
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guess when i started using codex subagents to resolve my production issues lol
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NVIDIA DSX Max-Q Powers Autonomous AI Agents in Industrial Infrastructure
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Jensen Huang highlights a new era of autonomous infrastructure. Using NVIDIA DSX Max-Q, AI agents now run the factory:
— Lucian Fogoros (@fogoros) 17 mars 2026
– Phaidra's agent oversees cooling and electrical systems.
– Emerald AI agents adjust power based on live grid demand.
Extreme resiliency and efficiency,… https://t.co/325tqyQKuoJensen Huang highlights a new era of autonomous infrastructure. Using NVIDIA DSX Max-Q, AI agents now run the factory: – Phaidra's agent oversees cooling and electrical systems.
– Emerald AI agents adjust power based on live grid demand.
Extreme resiliency and efficiency, -
LennysData.com: Agentic Engineering for Data Platform Launch
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Big thank you to @talraviv @clairevo @estelopez_ and Ben Shih for helping me beta-test and refine http://
LennysData.com (which I proudly “agentically engineered” myself ) -
Agents in Production: Monitoring Beyond Traditional Observability
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San Francisco Meetup It Worked on My Laptop: Agents in Production Unlike traditional software, you don't know what your agent will do until it's in production. This means that production monitoring for agents requires different capabilities than traditional observability.
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AI Substitution vs Augmentation: Preserving Human Agency and Decentralized Power
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A key policy question is whether we use AI mainly to substitute for people or to augment them. As I argued in The Turing Trap, we can and should build institutions and technologies that preserve human agency and decentralized power.
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Heartbeat monitoring for orchestrator and subagents resilience
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add a heartbeat to the orchestrator and the subagents so if they stop they keep going when you do this be careful about the way the model ends it's responses with "here's what i'd do next…" sometimes that's helpufl, but if they're not working from a clear plan you can wake up
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H2O AI Super Agent with NVIDIA enables enterprise AI execution
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http://
H2O.ai + @nvidia H2O AI Super Agent™ brings together:
• generative reasoning
• predictive intelligence
• multi-agent orchestration → moving from AI assistance to AI execution With NVIDIA Run:ai (and upcoming Agent Toolkit support), enterprises can run