A developer has formalized an agent governance framework using TLA+ and model-checked its safety invariants. The framework, available in the MAREF repo, uses Gray Code state machines to ensure every t…
A developer's LangGraph agent deployment crashed due to an MCP server that couldn't handle the volume of tool registrations and endpoint requests, prompting a redesign. The team introduced a load bala…
An engineer from an unnamed project shares lessons on scoping AI agents for production deployment, emphasizing bounded scope, routing and fallback logic, tooling clarity, early cost and failure measur…
Leanpub has launched 'LLM Engineering, from Component to Production' by Ali Aouf, a practical, measurement-first guide to building a local-first agentic retrieval-augmented generation system. The book…
A developer compares LangGraph, CrewAI, and Google ADK for building production AI agents, highlighting their different orchestration models. LangGraph emphasizes explicit graph-based stateful control,…
Agentic AI architecture requires a database, not just a vector store, according to a blog post that outlines five layers—reasoning, tools, memory, state, and guardrails—and argues that vector search a…
Martin Fowler says context is the bottleneck for coding agents, and a developer's experience shows that inconsistent code stems from ambiguous domain vocabulary, not weak models. In an enterprise NL-t…
A developer used MCP's Resource primitive to fix a LangGraph-based support bot that lost conversation context, enabling efficient knowledge graph updates and retrieval across tool calls. The approach …
A developer argues that the term 'agent' is being overused, causing engineering mistakes, and proposes a precise definition: an agent is a system with an objective, not just an instruction. The develo…
An engineer's analysis reveals that AI agents often fail in production due to compound error rates, with an 8-step agent at 85% per-step reliability yielding only a 27% end-to-end success rate. Citing…
AWS has rebranded its original Bedrock Agents service as 'Classic' and is moving it into maintenance mode, closed to new customers after July 30, 2026, while introducing Bedrock AgentCore, a modular i…
State Street is hiring an Agentic AI Engineer - Senior Manager in Bangalore, India, to design and implement agent orchestration and multi-agent workflows using frameworks such as LangChain, LangGraph,…
State Street is hiring an Agentic AI Engineer - Assistant Manager in Hyderabad, India, for its GenAI Center of Excellence. The role involves building agentic AI systems and multi-agent workflows using…
NVIDIA Labs has open-sourced NOOA (NVIDIA Object-Oriented Agents), a model-agnostic Python framework that turns an AI agent into a single Python class, with methods as actions, fields as state, docstr…
Amazon Web Services (AWS) announced runtime instances, a new compute option for Amazon Bedrock AgentCore that provides persistent, managed infrastructure for production AI agents, supporting sessions …
The AI engineer's toolkit for 2026 has shrunk to six essential tools, according to a new guide from the AI engineering community. The stack now centers on code-first graph frameworks like LangGraph an…
A new tutorial from Anthropic demonstrates that AI agents can reliably self-correct only when grounded in external verification, citing a 2024 paper showing large language models cannot self-correct r…
LendingTree deployed a multi-agent mortgage assistant on Amazon Bedrock, using three AI agents coordinated with LangGraph and the Model Context Protocol to educate borrowers and match them with compet…
Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027, according to a new guide that outlines an 8-week path to building AI agents that work reliably. The author, writin…
A new benchmark called ConstraintRot, detailed in the paper *Governance Decay* (arXiv:2606.22528), found that context compaction caused an agent to violate a prohibited action 59% of the time on DeepS…