Coding Agents
Coding Agents: Why Quality Has Hit a Ceiling
Memory condensation and code cleanliness barely affect agent output quality. Here's what two new studies reveal about where coding agent gains actually come from.
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AI Infrastructure
MCP Is Winning the Agentic AI Protocol War
Is the agentic AI protocol debate already over? MCP is hardening into enterprise infrastructure fast. What this means for teams building on agents today.
Agent Observability
ContractBench: How LLM Agents Fail by Design
Agent failures aren't random. ContractBench exposes two distinct failure modes across 38 models. Here's what the taxonomy means for how you build.
Coding Agents
OpenClaw's Real Problem: Agent Reliability
OpenClaw's 603B tokens weren't a pricing failure—they exposed how autonomous agents loop endlessly when they can't trust their own file operations. Here's what broke.
AI Infrastructure
AI Agent Harnesses Are the New Optimization Layer
Base model performance is commoditized. The real inference gains now live in the execution layer. What does that mean for how you build AI infrastructure?
AI Infrastructure
Self-Hosted RAG: The End of the API Default
Is the API call dying as the default unit of AI inference? Explore how self-hosted RAG with Ollama and pgvector cuts costs from $6,000 to $60 a year.
Sunday Dispatch
The Sunday Dispatch: Native Means Nothing Deploy Agents Carefully
Summary The gap between "native function calling" and production-ready agentic behavior just got measurable. Meanwhile, the infrastructure layer for agents is being built in public, and the security implications of that build-out are arriving faster than the governance frameworks meant to contain them. THE BIG MOVE Marketing copy
AI Agents
Agent Memory: Why Retrieval Is the Wrong Model
Most teams are tuning embeddings on a broken foundation. Discover why event sourcing is displacing vector retrieval as the right primitive for agent memory.
AI Agents
Freddy AI Agent Studio: Hype vs. Reality
Freshworks launched Freddy AI Agent Studio and MCP Gateway for Freshservice. But do the no-code agentic claims hold up? Here's what the architecture really promises.
Agent Observability
CrewAI's Accountability Gap Nobody Is Naming
CrewAI and LangGraph excel at orchestration—but when a multi-agent pipeline fails, which agent is responsible? The accountability gap is about to become critical.
AI Agents
AI Agents as Companies: Two Visions, One Problem
Paperclip claims 30% less latency and a company of 100 agents. AWS quietly solves legacy app access. Do either hold up? A critical breakdown.
AI Agents
Agentic AI Readiness: Metrics or Marketing?
Are agentic AI readiness checklists real maturity signals or audit theater? Unpack what CPA firm frameworks actually measure — and who profits from the score.