Agentic workflow engineering, advanced RAG architecture, and LLM evaluation/observability are the most valuable AI coding skills for 2026, according to an industry analysis. Developers proficient in f…
A developer's analysis of five common agent engineering problems reveals that persistent tool_choice settings cause infinite loops, OpenAI's Assistants API will be removed on August 26, 2026, and Auto…
EGA V9, an execution-governance framework for deterministic replay, provenance-aware verification, trust-state evaluation, and fail-closed containment in autonomous AI workflows, is now available via …
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's field guide to designing production-grade AI agents identifies six architecture topologies and argues that most agent failures stem from mismatched system design rather than model qualit…
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, …
The shift from cloud-only LLM APIs to locally-run, agent-driven systems is a major trend in software engineering, with open-source frameworks like LangChain, LlamaIndex, and CrewAI enabling orchestrat…
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…
Iterathon's 2026 benchmark analysis finds that a single agent matches or outperforms multi-agent configurations on 64% of tasks at roughly half the cost, with multi-agent systems adding only 2.1 perce…
AgentGauntlet, a new testing tool for AI agents, simulates real-world chaos like context drops, tool timeouts, and bad API data to evaluate agent resilience, reporting a 0% resilience score when an ag…
An engineer from tamiz.pro argues that the trust problem in AI agents stems from a structural mismatch between traditional software engineering and autonomous code generation, and proposes five archit…
A developer demonstrates how to build an AI agent in 10 minutes using OpenAI's function-calling API, emphasizing the importance of tool use. The agent loop, which allows the model to decide and act, i…
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…
A developer argues that AI agents should be designed around events rather than prompts, citing hiring processes as an example. The developer contends that an agent is the complete system that observes…
Researchers introduced LLM Agents Factory, a retrieval-based framework that constructs domain-specific LLM agents on demand from a base of over 20,000 predetermined agent profiles, achieving accuracy …