A developer argues that the term 'agent' is being overused, leading to engineering mistakes, and proposes a precise definition: an agent has an objective, decides what to do next, handles failure, and…
An engineer argues that in 2026, the choice of AI agent framework matters less than the surrounding layers such as memory, orchestration, and observability. The developer compares major frameworks inc…
A developer's comparison of AI agent frameworks in 2025 evaluates LangChain, CrewAI, and the broader ecosystem including MAF. The analysis highlights LangChain's comprehensiveness and LangGraph's suit…
Experian, a global data and technology company with 25,200 employees in 32 countries, is hiring a Staff Backend AI Engineer for a remote position in the United States. The role involves leading the de…
Experian, a global data and technology company with 25,200 employees across 32 countries, is hiring a Staff AI Architect for a remote position in the United States to lead the technical vision and arc…
A developer outlines a systematic debugging approach for AI applications that combines deterministic inspection with agentic validation layers, using frameworks like LangGraph, StatesGraph, MCP, and A…
A developer detailed an event-driven architecture for AI agents that replaces polling loops with Redis Streams and idempotent workers. The approach eliminates tail latency, cascading API rate limits, …
Deutsche Bank developed an AI-powered agentic resilience platform using Google Cloud's Gemini Enterprise Agent Platform to modernize its regulatory tabletop resilience exercises, transforming manual p…
LoopX, a stdlib-only Python project from ex-ByteDance engineer Ruiteng Huang, has gained 4,800+ GitHub stars since May by keeping agent state outside the runtime, using a CLI and file-backed store to …
A developer built PaperPlanes, a stateful research assistant with a bi-temporal memory engine, to address context degradation in AI agents. The system uses CockroachDB for bi-temporal storage, an MCP …
PLSQL Insight, a private, evidence-grounded application for understanding Oracle PL/SQL, has been released as a React 19 edition. The application, built by a developer, integrates FastAPI, LangGraph, …
ReAct agents, which loop through reasoning and acting by having a model call tools and feed results back into its prompt, reported an absolute success-rate gain of 34% over imitation and reinforcement…
PetFinder.my, Malaysia's leading animal welfare platform since 2008, released the dataset behind the PetFinder.my Adoption Prediction competition on Kaggle, which includes 14,993 training rows and fiv…
Amazon OpenSearch Service now supports OpenTelemetry's generative AI semantic conventions, enabling full observability of LLM traces for AI agents. The integration captures structured spans for model …
At Black Hat USA 2026 on August 5, Check Point Research analysts Yarden Porat and Shahar Tal disclosed 11 vulnerabilities across six major AI agent frameworks, including LangChain, LangGraph, CrewAI, …
A developer's monthly roundup highlights seven AI repositories, including OpenAI Cookbook, LangChain, LangGraph, LlamaIndex, and Browser Use, emphasizing practical engineering value over popularity. T…
A developer demonstrates how to use MCP's Resource primitive to synchronize knowledge graphs across concurrent LangGraph agent conversations, preventing context loss in support bots. The approach defi…
A developer detailed the emergence of 'Constitutions' for AI agent runtimes, formal policy layers that govern autonomous agent behavior, using the Ironclaw runtime as a case study. The approach uses d…
CrewAI, AutoGen, and LangGraph are the leading AI agent frameworks, each suited to different production needs: CrewAI for structured role-based workflows, AutoGen for flexible conversational loops, an…
A developer explains the distinctions between agent state, memory, and checkpointing in AI agents, emphasizing that while related, they serve different purposes. The post clarifies that state is the c…