AI Agents
MCP at Scale: Where Production Agents Break
MCP has 97M monthly SDK downloads—but identity propagation, timeout budgets, and error semantics are failing at scale. See the concrete fixes.
Latest
AI
Build Agentic AI Like Distributed Systems, Not Prompts
Summary The industry is converging on agentic AI in production, but the dominant failure mode is not model quality. It is engineers treating agents as glorified prompt chains instead of distributed systems with non-deterministic components. This piece covers what that misdiagnosis costs you, what the architecture actually needs to look
AI Infrastructure
AI Agent Infrastructure: The Plumbing Problem
Why do AI agents collapse in production? The model isn't the problem — the infrastructure is. Discover the supervisor patterns and fault-tolerance systems that fix it.
AI
Build your own MCP server in 30 minutes with FastMCP (full tutorial)
Summary MCP adoption is accelerating from toy demos to production infrastructure, and this week's signal shows the tooling ecosystem bifurcating into two camps: frameworks that help you build fast and gateways that keep costs from exploding at scale. If you're choosing how to wire your agents
Agent Security
Agentic AI Security: The Audit Trail Problem
ZombieClaw compromised 30,000 AI agents and stole $16M. Could your agent prove what it did? Learn why audit trails must come before autonomy.
AI Safety & Ethics
LLM Guardrails: Local Validation vs. API Moderation
Still relying on regex or GPT-4 moderation calls? Learn why local intent validation is replacing API-based guardrails in production LLM systems.
AI Agents
Local LLMs Are Ready for Production Agents
Why do 65% of AI agent experiments never reach production? The answer is architecture, not models. Here's how zero-trust pipelines with local LLMs fix it.
Sunday Dispatch
The Sunday Dispatch: Agents Have No Faces No Accountability
Summary Agentic AI is scaling faster than the security infrastructure built to contain it, and the gap is no longer theoretical. This week the industry got a clearer picture of what that gap costs, who is starting to patch it, and what a more honest architecture looks like at the
AI Agents
AI Agents in Production: The Governance Gap
Why shipping AI agents is now a governance and reliability problem, not a capability one — and which architectural decisions you need to make in the next 90 days.
Agent Security
MCP in Production: Power, Peril, and 138 CVEs
MCP is reshaping multi-agent architecture fast. But OpenClaw's 138 CVEs prove the stack is cracking. Where does your real exposure live?
AI Agents
Why Relvy Bets on Agentic RCA Over LLMs
Why do general-purpose LLMs fail at production incident RCA? Relvy's architecture exposes the noise problem — and how specialized AI agents solve it.
AI Infrastructure
AI Agent Infrastructure: Managed vs. Self-Hosted
Managed platforms or self-hosted stacks? We map the real tradeoffs in AI agent infrastructure, what fails in production, and how to pick the right path.