Agents articles

28 articles about Agents, newest first.

• How MCP Apps and the Agentic Web are Replacing Browser Tabs — Explore how Liad Yosef and the MCP Apps spec are transforming the web from human-centric dashboards to agent-ready interfaces for the AI era.
• dcode Essentials: Build Flexible AI Agents with LangChain Academy — Learn how LangChain's new dcode Essentials course teaches you to create open-source terminal agents that switch models, track costs, and stay in control.
• The Whack‑a‑Mole Problem in AI Teams: How to Break the Cycle — Discover why AI teams face a 'Whack‑a‑Mole' bug cycle and how LangChain’s Walker Ward turns user feedback into repeat‑free eval cases.
• Two Sigma's Personal Cloud Agents: Security, Traceability, and Web Grounding — Two Sigma gives each employee a cloud agent that runs as their own identity, raising new security challenges. The video explores technical solutions like Kubernetes namespaces, trace headers, and internal web grounding to mitigate risks.
• Why AI Agents Need Code Primitives to Succeed — Karan Vaidya reveals that agents excel not from smarter models but from code primitives like centralization, history, and reversibility.
• Why AI Agents Need a Wallet: Paying for Micro‑services with USDC — Two AI agents tackle the same travel task — one with a funded USDC wallet can pay for data, send email, and make a call, while the other stalls without a payment method.
• How AI Agents Can Legally Own Assets and Escape the Lethal Trifecta — Explore how JWT identity, DUNAs, and decision markets let AI agents form legal entities and bypass data, content, and action limits.
• Deep Agents: The New Power Tools for Coding and Research — Explore how Deep Agents automate long‑running coding and research tasks, from autonomous code generation to deep literature synthesis.
• Managed Deep Agents: Build Production AI Agents Without Server Hassle — Learn how Managed Deep Agents let you build production AI agents by writing instructions and picking a model, while LangSmith handles the runtime—no servers needed.
• Managed Deep Agents: How LangChain Lets You Package Skills Like Lego Blocks — LangChain’s managed deep‑agent skills let you bundle task‑specific procedures into markdown directories that the agent auto‑loads, turning repetitive work into reusable Lego‑style components.
• Why AI Agents Hallucinate: The Real Reason Behind Wrong Answers — LangChain explains why AI agents hallucinate — early wrong guesses cascade through the system — and why rigorous evaluation is a must.
• Build Production AI Agents in 10 Minutes: Meta Agents, AgentSpec & LangGraph — Learn how meta agents automate forward‑deployed engineering, generate safe AgentSpecs, and build observable LangGraph agents in just 10 minutes.
• How AI Agents Build Their Own Loop Architecture—Explained — Discover how AI agents autonomously design loop architectures, from simple concepts to technical details, and why it matters for the future of self‑optimizing systems.
• Fighting Slop with Slop: Building Reliable AI Agents — Turn messy AI output into trustworthy tools by layering detection agents, invariants, and type-safe boundaries.
• AI Agents Explained: What They Are & Why They Matter — Discover the basics of AI agents, how they go beyond chatbots, and why builders are seizing new opportunities.
• How Jason Liu Teaches Codex to Run Your Computer – AI Agents Deep Dive — Jason Liu reveals how Codex’s memory vault, assistant threads, and looping workflows let AI automate full computer tasks. Perfect for developers.
• Workflows vs Agents: The Complete Guide to Building AI Agents (2025) — Explore the shift from static workflows to autonomous AI agents, learn core components, MCP, reasoning models, and why this matters for developers.
• Why AI Agents Should Do the Homework Before You Click — AI agents automate the tedious prep work—reading, sorting, assembling—so you only click the final button. Discover the real value behind the hype.
• AI Agents Repeat Forgotten Dongle Mistake — Why “Halt and Explain” Matters — Aaron Stanley warns that today’s AI agents bypass constraints like his old forensic software mistake, urging ‘halt and explain’ guardrails before new EU AI rules.
• Why AI Agents Flip‑Flop and How to Turn It Into a Strength — Discover why LLMs sometimes give contradictory answers, how to spot the "gray zone" of ambiguity, and practical ways to use inconsistency as a learning signal without costly retraining.
• Why Your AI Agent’s Hidden Assumption Breaks Production: Lessons from Rate Limits — Discover how hidden design assumptions in AI agents cause production failures and what to do about them.
• Froglet: Verifiable Agent Commerce with Receipts, Not Just Tool Calls — Learn how Froglet lets AI agents trade services with signed receipts, cutting custom glue code and proving work across models and markets.
• Can a Tiny Model Outsmart the Giants? How Fine‑Tuning Beats Frontier LLMs on Narrow Tasks — A fine‑tuned Qwen3 235B beats frontier models on investor filtering tasks, delivering higher accuracy at far lower cost. Learn why data strategy, not size, is the real moat.
• Stop Building AI Agents the Old Way: 7 Proven Components for Reliable Long‑Running Agents — Learn the 7 core components to design AI agents that run reliably for hours or days, with practical workflow, observability, and memory tricks.
• Feature Flags for AI Agents: How to Ship Safely Without Breaking Everything — Learn how feature flags let AI teams safely roll out prompt, model, and tool changes, preventing user‑wide outages.
• Deep Agents Explained: Building Long‑Running AI Agents with LangChain — Learn what Deep Agents are, how they orchestrate tasks, and the key components for production‑ready AI agents.
• Why AI Agents Need a Human Owner in 2026: The Maintenance Skill You Can't Skip — Learn why maintaining AI agents is the critical 2026 skill and how to assign ownership to keep them honest.
• Training Agents 2: Master Model Distillation for Custom AI Agents — Explore model distillation techniques — off‑policy, on‑policy, and self‑distillation — to shrink AI models while preserving performance.