Developer Manasvi Boineypally built Doc2Slides, a multi-agent AI pipeline that converts research papers into audience-tailored PowerPoint presentations. The system uses LangGraph to orchestrate five a…
Agentic RAG transforms retrieval-augmented generation by letting the AI agent decide when and how to retrieve information, rewriting queries, grading results, and retrying as needed, rather than using…
AgenticDome released agenticdome-python-sdk, an official Python SDK and middleware package that enforces deterministic security controls—prompt ingress, tool execution, agent-to-agent handoffs, and ou…
AWS closed Bedrock Agents Classic to new customers on July 30, 2026, freezing its model catalog and making AgentCore the only path to newer foundation models. AgentCore is a ground-up re-architecture …
A new lossless wire format called a2acompress cuts token usage by 36.6% on real cl100k_base tokens for agent-to-agent handoffs, reducing 140,661 raw tokens to 89,235 full-cost tokens across 196 held-o…
Prism-Eval, an open-source unit testing tool for AI orchestrators, catches non-deterministic LLM tool call failures, prompt injections, and digit drops in local builds and CI/CD pipelines. The tool, w…
An engineer argues that the term 'agent' has become so diluted that it is causing real engineering mistakes, and that most production agent deployments are narrow, purpose-built pipelines rather than …
Cisco's Customer Experience (CX) organization is hiring a Software Engineer in Bangalore, India, to design and deploy autonomous agents using frameworks like LangGraph and LangChain, with responsibili…
A developer explains that protocols are the critical but overlooked plumbing in multi-agent AI systems, defining shared contracts for communication that prevent failures when agents interact. The post…
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…