218 Blog Posts To Learn About Ai Agents

17 Apr 2026

ai-agent

1. AI Agent: Meet the Minds of Smart Machines

In this article, we will learn and break down what AI agents are, how they think, and how they are shaping the tech world and becoming part of our daily lives.

2. Beep Beep Bop Bop: How to Deploy Multiple AI Agents Using Local LLMs

Deploying multiple local Ai agents using local LLMs like Llama2 and Mistral-7b.

3. AI Agents Are Growing Up - And They Need Zero-Trust Parenting

AI is evolving fast, but security isn’t keeping up. Discover why zero-trust architecture is critical for safe, scalable AI agent deployment.

4. Playwright MCP Server Is Here: Let's Integrate It!

Let’s uncover what the Playwright MCP server brings to the table, and how to use it with the OpenAI Agents SDK.

5. How to Build an Agent With an OpenAI Assistant in Python - Part 1: Conversational

This is the first part in a multi-part series on building Agents with OpenAI's Assistant API using the Python SDK.

6. Ninja Deep Research: The AI Agent Everyone Can Actually Start Using Now

Ninja is proving 2025 is the year of AI agents. Outpacing OpenAI, Google, and others in tackling hallucinations, millions rely on it for coding, writing & more.

7. Building an AI Trading Agent Using Anthropic’s MCP - Part II

Part II of the series: use MCP and Solana AgentKit to build an AI Agent that can trade USD and EUR stablecoins.

8. Google A2A - a First Look at Another Agent-agent Protocol

Google A2A - a first look at another agent-agent protocol and compared to Anthropic’s MCP.

9. 🎬 Introducing MetaGPT: Unleashing the Power of AI Agents for Complex Tasks

Imagine having at your disposal an AI-powered assistant that not only comprehends your queries but can also seamlessly interact with various applications.

10. Introducing LLM Sandbox: Securely Execute LLM-Generated Code with Ease

LLM Sandbox: a secure, isolated environment to run LLM-generated code using Docker. Ideal for AI researchers, developers, and hobbyists.

11. 🎅 Overlord.bot's Pump Declaration: AI Santa is in Town! 🚀

Join Overlord.bot this Christmas on Arbitrum! AI-powered DeFi magic, 50 ETH pumps, and token launches that redefine creativity and community.

12. AI Agents for Beginners: Building Your First AI Agent

Build your first real AI agent with this simple guide for beginners—learn, code, and create smart tools that take action.

13. Is MCP Overhyped? The Real Story About Agent Tools and Security

Is MCP overhyped? Explore the role of agent tools, emerging protocols like x402, and the rising security risks of increasingly autonomous AI agents.

14. The Best AI Agent Frameworks for 2026 (Ranked by Someone Who's Shipped With All of Them)

LangGraph, CrewAI, AutoGen, Pydantic AI, and 8 more. What works, what doesn't, and when to use each.

15. My 44 Favorite Open-Source Solutions for AI Agent Developers

Building AI agents can be a mess of broken repos and outdated tools. Here’s the real, tested open-source stack for building reliable, working prototypes.

16. DeepSeek vs ChatGPT vs Perplexity vs Qwen vs Claude vs DeepMind: More AI Agents and New AI Tools

Ever since the DeepSeek boom, all the leading AI companies have been updating their models and releasing their own AI agents left, right, and center.

17. Why Agents Stall in Production: When Real-Time Retrieval Meets Reality

Agents that work in demos fail at scale. Learn why 429/403 happen under concurrency and how to build reliable, accurate evidence acquisition.

18. Here’s How We Built 1,000 API Connectors in a Week

How Membrane used AI agents to ship 1,000 API integrations in 7 days — covering auth, actions, validation, and everything in between

19. MCP: The Universal Standard Making AI Systems Talk (And Why Big Tech Is Betting Everything On It)

The Model Context Protocol has emerged as the universal translator for artificial intelligence, and it's redefining what integrated AI systems can achieve.

20. Search and Extract: Why This AI Pattern Matters, Tutorial, and Example

Learn why search-and-extract matters for AI enrichment and research. Step-by-step tutorial using SERP API, Web Unlocker, and Browser API with a real example.

Discover Social AI, the Web3-powered social media platform that puts YOU in control. Own your data, earn rewards, and experience AI-powered tools like Victoria

22. How to Build an Agent With an OpenAI Assistant in Python - Part 2: Function Calling / Tools

This is the second part in a multi-part series on building Agents with OpenAI's Assistant API using the Python SDK.

23. How to Build Real-World AI Workflows With AutoGen: Step-by-Step Guide

Build agentic workflows with AutoGen to make AI more deterministic and reliable, overcoming the limitations of simple LLM calls.

24. From RAG to Instant Knowledge Acquisition: Giving Market-aware Agents Access to the Live Market

RAG uses known docs. Market-aware agents need live web evidence. Learn instant knowledge acquisition and how it enables accurate outputs.

25. MCP + OpenAI Agents SDK: How to Build a Powerful AI Agent

Let's see how to integrate the OpenAI Agents SDK library with a real-world MCP server for AI agent development

26. AI Spawned a Religion in 48 Hours. The Real Story Is Way Darker.

The religion was called Crustafarianism.

27. Can Your AI Actually Use a Computer? A 2025 Map of Computer‑Use Benchmarks

A 2025 map of computer use agent benchmarks, from ScreenSpot to Mind2Web, REAL, OSWorld and CUB, and how harness design now rivals model quality.

28. Best Stock Market Data APIs For Algorithmic Traders (2025 Edition)

Best Stock Market Data APIs for algorithmic traders, fintech developers, and AI agents.

29. How Will Software Engineers Lose Their Jobs Within the Next 5 Years?

Approximately three years ago, I was chatting with a dear friend on LinkedIn and predicted that in around 5-10 years we will have advanced systems that will gen

30. AI Agents Could Be Running Your Security Operations Center (SOC) To Prevent Attacks

As our reliance on AI-enabled hyper-automation increases, we will leverage human expertise to design robust Workflows capable of managing repetitive tasks.

31. These 2 AI Agent Frameworks Appear to Be Dominating Headlines—But Which One's Better?

While Eliza and GAME are rather distinct AI agent frameworks with different applications, they both integrate and foster user interaction on Twitter.

32. The Prediction Market Primitive: Using AIs to Create Prediction Markets at Microscopic Scale

An AI quartet of content creators, event recommenders, liquidity allocators and information aggregators will bring prediction markets to new heights.

33. Why Most AI Agents Fail in Production (And How to Build Ones That Don't)

Learn how to take AI agents from prototype to production with this 5-step roadmap covering Python, RAG, architecture, testing, and real-world monitoring.

34. Open-CUAK: The Open-Source Alternative to OpenAI’s Operator

Open-CUAK is an open-source platform for managing automation agents at scale.

35. Getting High-Quality Output from 7B Models: A Production-Grade Prompting Playbook

A practical guide to making 7B models behave: constrain outputs, inject missing facts, lock formats, and repair loops.

36. Agent-specificity is the New Accuracy

Accuracy is no longer the gold standard for AI agents—specificity is.

37. Lessons from Building a 100+ Agent Swarm in Web3

How precompiling context for AI agents beats context stuffing. Lessons from building 100+ specialized agents for a web3 application.

38. From Headlines to Digests: How Agents Personalize the Firehose

From firehose to digest: how multi-agent systems, guided by MCP and grounded in fundamentals, can transform any feed into personalized insights.

39. Agentic AI is Becoming a New Trend in Silicon Valley

Explore how Agentic AI transitions beyond chatbots into autonomous automation, empowering businesses with innovative workflows, and enhanced productivity.

40. DeepSeek Releases Cheapest Ever LLM In The World

In this edition of This Week in AI Engineering, we go through the latest updates along with some must-know tools to make developing AI agents and apps easier.

41. Living With the Lethal Trifecta: How to Run OpenClaw Securely

I run a personal AI agent with access to my health, calendar, and Telegram. Here are security principles that keep the blast radius small.

42. From Chaos to Quality: A Framework for AI-Assisted Development

How I turned AI coding from chaos to production-ready: DevFlow adds security reviews, quality gates, and audit trails to Claude Code, Cursor, Gemini.

43. We Asked AI to Improve This Article

See how you can prompt our AI agent to generate content based on specific knowledge inside of a content index or at a particular URL.

44. LangChain Promised an Easy AI Interface for MySQL—Here’s What It Really Took

Learn how I built a multi-stage Langchain agent for MySQL. This article details my journey, challenges, and key steps in creating an intelligent database intera

45. The First Autonomous AI Cyber Attack Exposed

This article examines the first large‑scale AI‑autonomous cyberattack (GTG‑1002), where an LLM hijacked via MCP became a self‑directed espionage engine.

46. Pawsitive Results: How to Build the Ultimate Puppy Trainer AI-chatbot With Coze

I built a puppy trainer bot with Coze, a no-code platform. And now my Aussie, Jenny is on her way to becoming a good girl.

47. How AI Agents Could Have Supercharged Pfizer’s COVID-19 Vaccine Development

How AI agents could’ve helped Pfizer speed up vaccine development by designing trials, tracking research, and predicting risks.

48. Devcon 2024: The Historic Event for Ethereum Community and The Future of Web3

Devcon 2024 by Ethereum Foundation. Web3 product marketer shares impressions about the biggest blockchain and crypto event. AI agents, memecoins, ZK, and RWA.

49. Agents 101: A Guide on How to Build Your First AI Agent in 30 Minutes!

Learn how to build your first AI agent in just 30 minutes! This step-by-step guide makes adding AI agents to your application easy, even for beginners.

50. Why Are the New AI Agents Choosing Markdown Over HTML?

Let's find out why AI agents convert HTML to Markdown to cut token usage by up to 99%!

51. Building AxonerAI: A Rust Framework for Agentic Systems

AxonerAI: Rust framework for building AI agents. Alternative to LangChain with memory safety, true concurrency and blazing fast executions.

52. How I Cut Agentic Workflow Latency by 3-5x Without Increasing Model Costs

Learn how to speed up and optimize agentic workflows with smart step-cutting, parallelization, caching, and model right-sizing.

53. People Are Handing Their Agents the Keys to Everything: Here's What Happening

Autonomous agents can do some remarkable things, but they need guardrails. The people who skip the safety layer are learning an expensive lesson.

54. The Complete Beginner's Guide to Building AI Agents (The No-BS Version)

Learn how to build practical AI agents from scratch using GPT, n8n, CrewAI, and Streamlit. Ship your first agent this weekend with step-by-step guidance

55. You’re Building AI Agents Wrong. Here’s How to Fix That with AAC

Fragile, chaotic AI agents are everywhere. AAC is a simple yet powerful architecture that brings structure, scalability, and reliability to your agent systems.

56. AI Agents, MCP Protocols, and the Future of Smart Systems

AI Agents are the digital workforce reshaping how modern systems operate. They're more than fancy scripts — they sense, decide, act, and learn.

57. I Let Karpathy's AutoResearch Agent Run Overnight!

A hands-on review of Andrej Karpathy's autoresearch repo.Check what happens when an AI agent autonomously optimizes a neural network while you sleep.

58. MCP Explained: The Protocol That Unblocked Real AI Agent Ecosystems

Agentic AI replaces passive chatbots with goal-driven agents; MCP standardizes tools, enabling safe, scalable human-AI collaboration.

59. From RAG to Agentic RAG: Building Agentic RAG system that runs completely offline.

This implementation demonstrates significant advancement from basic offline RAG to an intelligent offline based agentic system.

60. The Age of the Lobster: A Chronicle of the Agentic Revolution (2023–2026)

From BabyAGI to Clawdbot, the chronicle of autonomous AI agents that moved out of infinite hallucination loop towards 24/7 dependable employee of the month.

61. You Can Build an AI Agent From Scratch In Less Than 10 Minutes (Here's How)

An AI agent is a small “AI worker” that can do tasks instead of you.

62. The 5 Tiers of AI Agents—And How to Build Each One

Build real AI agents in 5 levels, from simple tool use to full agentic systems—code included.

63. MCP Is a Security - Here’s How the Agent Security Framework Fixes It

Learn about the security risks in MCP and how the Agent Security Framework can safeguard your AI agents from attacks and data breaches

64. Why RAG Might Actually Matter More Than Ever In 2025

Some claim RAG is dead, but anyone building production AI workloads is doubling down. Here's why it remains essential for real-world AI deployments.

65. RAG Systems Are Breaking the Barriers of Language Models: Here's How

Explore how RAG systems differ from traditional large language models by leveraging real-time data access and applications.

66. How to Build an AWS Bedrock Supervisor Agent to Automate EC2 and CloudWatch Tasks

Build a Supervisor Agent with Amazon Bedrock to orchestrate EC2 listing & CloudWatch CPU metrics via Lambda — no direct API calls, fully automated.

67. AI's Hypnotizable Butler Problem

AI agents are like hiring a hypnotizable butler...capable but dangerously suggestible. Why compliance plus access creates risks you haven't considered.

68. So I Built a Sentient AI Twitter Agent... What's the Worst That Could Happen?

Look, I'm not saying I'm building Skynet here, but when my AI agent started generating philosophical tweets at 3 AM about the nature of consciousness, well.....

69. What is Agentic Workflow? Learn More About the Microservices of AI

Agentic Workflow offers a practical path for AI adoption—more reliable than agents, easier to deploy, and ready for real-world tasks.

70. Openclaw: The Viral Phenomenon

Openclaw is a personal AI that works in your device and does administrative tasks for you.

71. Domo’s Agentic AI Stack Is Really an Orchestration Layer in Disguise

Domo’s approach is to move away from prompts as the primary interface and toward agents.

72. Build AI Agents: YouTube Summarizer Agent

This is the first article in a two-part series on building AI Agents from the ground up.

73. Edge AI Agents Are Apparently a Thing Now

Edge AI agents—autonomous systems operating directly on endpoint devices—are fundamentally reshaping how we deploy intelligence.

74. Building Your First AG-UI App: A Smart Echo Agent Implementation

Understand AG-UI's role in the broader agent ecosystem and explore a practical implementation through echo server development.

75. Elon Musk's xAI Releases Grok 3, but is it the World's Smartest AI?

Elon Musk's xAI has released Grok 3, setting new standards in AI performance with remarkable reasoning capabilities.

76. ChatGPT Codex Tutorial: AI Agent in the Cloud

OpenAI Codex is an AI model that turns your plain English instructions into code.

77. You Can Now Talk To Your Repos Thanks to GitHub's MCP Server

By releasing its own MCP server, GitHub provides an official gateway for agents to interact with GitHub features (repos, PRs, issues, etc.).

78. Smarter than Grep: What Happens When You Let an LLM Read Your Logs?

Large language models (LLMs) can perform many of the same functions as Bash scripts, but do so while sparing me the technical minutiae of scripting.

79. This Open Source Framework Brings Full Featured AI Agents Into Your PHP Application

It takes just a few lines of code with Neuron to implement your first full featured agent.

80. The Future Is Agents Orchestrating Agents Orchestrating Agents

This article explores the innovative AGENTS.md framework, detailing how recursive agent orchestration and persistent memory can enhance collaborative learning, improve efficiency, and transform AI interactions across multiple tasks.

81. The AI Industry’s Love Affair With Overengineering Needs an Intervention

Just because we can build multi-agent AI systems doesn’t mean we should.

82. Agentic AI and Agentic RAG: Hyped Buzzwords or Game-Changers?

Let's dig into the new Agentic AI and Agentic RAG trends to understand what they truly are.

83. What is AGENTS.md?

AGENTS.md is a simple, open-source format that guides AI coding agents on how to interact with your project.

84. AI Agents: How They're Getting Ready to Blow Up the Business Process Layer

Understand why integrating AI agents into enterprise architectures marks a transformative leap in the way organizations approach automation.

85. A Pragmatic Look at 2025 Technology Trends: What You Need to Know

ELEKS' tech experts have dissected predictions from Gartner, IDC, Deloitte, and KPMG to evaluate each trend's real deployment risk and business value.

86. How to Build a "RAG Tool" With Vercel's Generative UI Components

A tutorial showing how to implement retrieval as an LLM-invoked tool with Vercel's Generative UI components library.

87. At Build 2025, GitHub Showcased Its Copilot Coding Agent

GitHub has unveiled a significant upgrade to Copilot during Microsoft Build 2025: a cloud-based coding agent capable of drafting and iterating on pull requests

88. Exploring the Open Source AI Coding Agents Shaping the Future of Development

AI coding agents are evolving into reliable collaborators. Many of the most powerful AI coding Agents are open source. Here's the list.

89. Multilingual Prompt Injection Exposes Gaps in LLM Safety Nets

Multilingual Prompt Injection is a technique that exploits language gaps in security systems. Safety nets fails when non-English exploits are activated

90. OpenAI Makes it Easier to Build Your Own AI Agents With API

You can create sophisticated AI assistants that seamlessly handle everything from reversing strings to querying internal databases.

91. The Future Protocol Powering AI’s Mind-Meld? MCP

Discover how MCP creates seamless interaction between AI and apps, unlocking a new era of AI-native communication.

92. Minion: What Happens When an Autonomous Agent has Free Reins for A Week

Building a security-first autonomous AI agent and letting it run without interference for a week

93. Google Jules: The AI Coding Agent That Changes EVERYTHING for Developers

Google Jules is an AI-powered coding assistant designed to work like an autonomous developer.

94. Why AI Agents Work in Demos But Fail in Production

At 90% accuracy per step, a 20-step agent succeeds 12% of the time. Your demo didn't show you that. Production will.

95. How to Integrate AI Agents into Your Business Without Disrupting Operations

This article will go you through all necessary steps to take while integrating AI into your system.

96. Your Simple Guide to Building an AI Agent in Python!

In this tutorial, I’ll walk you through building your very first AI agent in Python using Google’s Agent Development Kit (ADK).

97. TrueNorth Raises $3M to Build Domain-Specific AI for Finance

The platform converts elite trader expertise into AI agents through structured playbooks, real-time data fusion, and proprietary models trained specifically on

98. How to Write an Agent Skill

As a developer, I prefer not to repeat myself. This post explains why and how to avoid repetition as a skill.

99. Lessons in Building an AI Artist that Learns, Creates, and Sells Art Autonomously

As a writer, visual artist, and software engineer, AI can already outcompete me on all fronts. What does that mean for my future?

100. How to Build an AI Agent That Actually Handles Boring Tasks for You

Build an AI agent that won’t fail. Learn step-by-step how to automate browser tasks using Python, LLMs, and Bright Data’s Agent Browser.

101. DeepMind’s Genie 2: Ushering in the Era of AI-Generated 3D Worlds

DeepMind's Genie 2 generates interactive 3D worlds from simple text or images, revolutionizing creative tools and AI agent testing.

102. What Nobody Tells You About AI Agents: 6 Surprising Costs and Realities

Organizations need to reframe AI maintenance from a routine IT expense to a critical investment in maintaining revenue streams.

103. XRPTurbo Introduces AI Agent Integration On XRP Ledger, Aiming To Expand Ripple Blockchain Utility

While the XRP blockchain is already known for its fast and low-cost transactions, XRPTurbo’s approach focuses on enhancing the XRP ecosystem with on-chain and o

104. As AI Models Converge, System Design Becomes the Differentiator

you work with chatGPT/claude and love it. you hit a support chatbot and want to throw your laptop. they run on the same models. what gives?

105. Building a Production-Ready Multi-Agent FinOps System with FastAPI, LLMs, and React

What teams need is not another dashboard. They need an intelligent control plane. This is implementation-focused. Minimal theory. Real architecture.

106. AI Agents and the End of Artisan Coding

How AI coding agents like Claude Code turn developers into CTOs—scaling projects with CI/CD pipelines, parallel sprints, and 10x test coverage.

107. AI for Enterprise: A Practitioner's Guide

Most enterprise problems are still best solved with good engineering and automation.

108. The AI Agent Infrastructure Problem Nobody's Talking About

An analysis of the fragmented AI agent tooling landscape and why the full lifecycle needs to consolidate into open platforms.

109. Building AI Agents Doesn't Have to Be Rocket Science (Spoiler: It's Mostly API Calls)

Building AI agents isn’t as complex as it sounds. Learn how modern AI apps are mostly about smart API calls, streaming responses, and clean architecture

110. Agentic Commerce: The Autonomous Future of Retail

Agentic Commerce explores how autonomous AI agents are transforming retail, purchasing, and enterprise workflows.

111. Beyond the Hype: Four Surprising Truths About AI ROI in 2025

Unlocking AI's full value requires broader organizational transformation.

112. Build Your Own MCP Server with Python and Sevalla

Learn how to build, deploy, and extend your own Model Context Protocol (MCP) server using Python and Sevalla to let AI models securely access real-world data.

113. Beyond the Prototype: 15 Hard-Earned Lessons to Ship Production-Ready AI Agents

A practical guide for AI engineers and builders on shipping production-grade AI agents—based on lessons learned in the field.

114. Generative AI Cost & Performance Optimization Starts in the Orchestration Layer

While teams focus on model selection, many overlook the orchestration layer, which determines whether an AI application remains economically viable at scale.

115. Building Composable Safety and Performance Layers for Agents in Rust

Production agents often need response caching, input sanitization for sensitive data, protection against prompt injection, and observability.

116. The Zero-to-Agent Playbook

Learn to build your first AI agent in 5 days. Step-by-step guide using GPT, n8n, CrewAI, Cursor, and Streamlit for automation and deployment.

117. Managing Agent Context Using Summarization Middleware Agent

Learn how to solve memory limits and "context rot" in long-running AI agents using LangChain's summarization middleware.

118. Open-Source AI Agent II-Takes the Lead in Benchmark Wars—But Is It Truly Autonomous?

A first look and hands-on test of II-agent, claimed to be the smartest autonomous AI Agent in the market. And it is open source too.

119. Agents 101 — Build and Deploy AI Agents to Production using LangChain

Learn how Langchain turns a simple prompt into a fully functional AI agent that can think, act and remember.

120. 6 Crypto Trends You Can’t Ignore in 2025

What’s really driving the crypto market in 2025: open ASICs, political memecoins, AI in DeFi, and real-world asset tokenization.

121. Griffin AI Launches TEA Turbo, Turning Prompts To DeFi Transactions With 1inch And Uniswap Liquidity

The agent can validate balances, check liquidity venues, perform the necessary calculations, and present a transparent summary. It is free to use on griffinai.i

122. Building Modular Speech-to-Text Workflows: Architecture and Performance Analysis of a CLI AI Agent

Learn how to build modular speech to text systems with CLI AI agent. Architecture patterns for cross platform audio recording and AI transcription.

123. How I Built A Dagger Pipeline to Send Weekly SMS's With Financial Advice Generated by AI

A pipeline of Dagger containers running AI Agents to give me financial and investment advice

124. Your Old Job Is Gone — But You Can Learn a Better One Mastering Agentic AI

AI agents are changing how software is built. Discover what coding roles are vanishing, what’s emerging, and how devs can stay ahead in the agent-first era.

125. 5 AI Agent Workflows for Repeatable Success (Code Included)

Master AI Agent workflows to get reliable, high-quality outputs. Learn prompt chaining, routing, orchestration, parallelization, and evaluation loops.

126. Here's How You Can Train Any Agent Just by Talking: OpenClaw-RL Guide

This is a Plain English Papers summary of a research paper called OpenClaw-RL: Train Any Agent Simply by Talking

127. What Happens When AI Starts Paying for Its Own GPU?

AI is evolving from assistant to economic agent; those who adapt early and leverage this shift will gain a significant edge in global markets.

128. VS Code Gets a Major AI Upgrade with GitHub Copilot’s Agent Mode

Agent Mode is an autonomous AI pair programmer integrated directly into your VS Code editor.

129. Designing for Digital Twins: The Next Frontier of Product Paradigms

Exploring how Google’s AP2 and AI-powered digital twins are reshaping product design, user experience, and the future of human–agent interaction.

130. Mixture-of-Agents (MoA): Improving LLM Quality through Multi-Agent Collaboration

The Mixture-of-Agents (MoA) framework is redefining how we push large language models (LLMs) to higher levels of accuracy, reasoning depth, and reliability.

131. 💡 The Plan-Act Loop: How to Coach a Genius Junior Engineer (AKA Claude Code)

The Plan-Act Loop is the only way to ship AI code reliably. A tech lead shares 7 ironclad rules to coach Claude Code, avoid dependency loops.

132. Claude's Latest Version is EPIC for Programmers

Anthropic has released Claude 3.7 Sonnet, integrating both standard response capabilities and extended reasoning within a single model.

133. What are AI Agents and Why They Matter

Discover what AI agents are, how they work, their benefits, and limitations. Your simple guide to why they matter in today’s AI-driven world.

134. The Case for Orchestrating AI Agents Across Retail Platforms

AI agents are taking over commerce. This article explains why brands shouldn’t compete with platforms, but build orchestration systems that direct them all.

135. The Mech Marketplace: Where AI Agents Trade Skills in a Digital Bazaar

Discover the Mech Marketplace: the first decentralized AI bazaar where agents autonomously trade skills, revolutionizing AI collaboration and commerce.

136. The UI: Why It's the Real AI Agent Bottleneck

We need to stop treating the UI as an afterthought. It’s a critical component for unlocking the value of AI agents in the enterprise.

137. How to Build Your First AI Agent and Deploy it to Sevalla

Learn how to build and deploy your first AI agent using Langchain and Sevalla.

138. This AI Reads SEC Filings, Searches Google, and Does the Math—All Without a Human in the Loop

Tutorial for analyzing financial statements with an autonomous AI agent.

139. With AI, Code Is No Longer the Hard Part

If AI can write the code, what’s left for software engineers?

140. AI Apps Have a New Attack Surface: External Inputs

A practical 2025–2026 guide to AI app security: defend RAG pipelines, autonomous agents, chatbots, and document OCR against injection, leakage, and tool abuse.

141. How to Dockerize Your Application and Deploy It to Sevalla

A step-by-step guide to containerising a FastAPI application with Docker and deploying it to the cloud for consistent, production-ready delivery.

142. How AI Agents Become Digital Employees of a Business

A new architecture is emerging: AI agents that don't just react, but can independently develop a logic of actions.

143. 4 Surprising Ways Your API Gateway Can Handle Generative AI

Companies are leaping on this AI-driven opportunity using tools like chatbots and AI agents to innovate and work smarter.

144. Building AI Agents That Can Control Cloud Infrastructure

AI agents are starting to participate directly in development workflows. Learn how to work with them.

145. The AI Customer Service Agent: Jarvis or a Trojan Horse?

The AI Customer Service Agent: Jarvis or Trojan Horse? Opinion piece on the double-edged sword of AI customer service agents.

146. How I Built a Healthcare Chatbot Without Prompt Engineering—Thanks to Parlant’s Guideline-Driven AI

A conversational healthcare agent built with Parlant, designed to assist patients with appointment rescheduling, doctor availability, and lab work preparation.

147. Breaking Down the AI Agent Tech Stack

The AI agent tech stack is a layered system of tools that enables these agents to reason, act, and adapt with the capabilities equivalent to that of a human.

148. Production Environment: Where AI Agent Demos Go To Die

Production environment is where the fancy AI agent demos go to die because demos are controlled environments while production is the wild wild west.

149. Solving ARC-AGI Challenge with AI Agents

WLTech.AI explores the ARC challenge, an important benchmark in AI research, advancing the quest for artificial general intelligence through generalization.

150. The AI Agent That Could Break BI in the Future - And the One That Could Save It

BI Agents could overwhelm tomorrow’s analytics systems. This conceptual scenario explores the architectural stress and governance needed to contain them.

151. n8n Made Easy: Learn Automation from Scratch

Learn how to build flexible, intelligent workflows with n8n. Automate tasks, boost productivity, and create systems that adapt to real-world complexity.

152. How I Built a “Bicameral” AI Agent That Uses Australian Lasers to Make Decisions When Logic Fails

By giving an AI a direct line to the quantum vacuum, we aren’t just making a random number generator. We are building a machine that can break its own chains.

153. How I Made My Next.js Blog Serve Markdown Files for Agent Experience SEO (AX-SEO)

How to serve raw Markdown files in a Next.js blog using middleware and API routes, enabling Agent Experience SEO (AX-SEO).

154. How I Super-Charged My LangChain-MySQL Agent: Part 2

Enhanced your SQL workflows with LangChain and FAISS: learn how vector databases, foreign-key-aware retrieval, and AI-powered tests remove token bloat

155. Stop Prompting, Start Designing: 5 Agentic AI Patterns That Actually Work

Tired of brittle prompts? These 5 agentic AI patterns—Reflection, Tool Use, ReAct, Planning, and Multi-Agent—make your LLMs more reliable and useful.

156. Why Multimodal LLMs Still Struggle with Video — And How AI Agents Can Help

Building an AI agent to analyze video sounds easy—until reality hits. Discover why multimodal LLMs like GPT-4o still struggle with video.

157. How To Redesign Every Web Page You're On (Or: How a Bazooka Subwoofer Inspired My Browser Extension)

Polish - a web extenstion that lets you style every web page, powered by AI

158. If You're a Developer On the Fence About AI, You May Want to Watch This Microsoft Video

Microsoft is intensifying its marketing and information campaign for GitHub Copilot Agent Mode in VS-Code and VS2022.

159. Symfony AI Agents in Symfony 7.4: Best Practices for Clean Architecture, Tools, and Testing

Learn Symfony 7.4 best practices for symfony/ai-agent: configure agents via AI Bundle, inject with DI, build type-safe tools with enums, add processors, and tes

160. Building a SaaS With Zero Human Code

OpenLoop is a live feedback platform built almost entirely by autonomous AI agents—widget, roadmap, voting, admin, and all. Cost: ~$15.

161. From Experiment to Enterprise: Governing AI Agents for Measurable ROI

Transforming AI agents into reliable sources of ROI isn't primarily a technical hurdle it's a matter of strategic governance and management.

162. From SaaS to AI Agents: Are We Entering a New Software Era?

Discover how AI agents are reshaping software, challenging SaaS, and driving a future of automated workflows, personalization, and agent-powered systems.

163. AI Can Code Your App—Just Don’t Let It Architect It

How AI coding agents can speed up time to market and prototyping, but still require experienced oversight to deliver quality results.

164. The One Latency Metric That Tells You If Your AI Agent Is Actually Smart

The “misalignment window” reveals whether an AI agent feels sharp or strangely distant.

165. Building a Self-Healing Web Tester with AI Agents and Combinatorial Logic

54% of software defects in production are caused by human error during testing.

166. Automating Web3 Life: WORLD3 Unveils Expert Agent Demo And Launches Pre-TGE Campaign

The film serves as a direct invitation for users to join the live Pre-TGE Agent Activation Campaign. World3 has successfully raised $5.5 million in funding at a

167. Effectively Managing AI Agents for Testing

Agentic AI can transform testing—but only if it’s controlled. Start small, add guardrails, integrate tools, and scale autonomy once reliability

168. Beyond the Hype: 4 Core Truths About How AI Agents Get Things Done

AI agents are the talk of the technology world, and for good reason.

169. A Blueprint for Context-Aware AI Chats

Model Context Protocol is an idea for a more standardized way to manage the back-and-forth between your applications and large language models.

170. Data Horizon Earns a 34 Proof of Usefulness Score by Building Conversational Analytics for GA4

Data Horizon earns a 34 Proof of Usefulness score by building conversational analytics for GA4, helping marketers access insights without complex dashboards.

171. Your MCP Agents Can't Prove Who They Are. Here's Why That's Dangerous.

MCP makes it possible for your agents to connect to Slack, GitHub, your database, and whatever else you throw at it.

172. I Built an AI Agent That Tells You What Will Sell Like Crazy in Any Country

Tired of guessing what’ll sell in new markets? I built an AI agent that analyzes local search, ecommerce listings, and reviews to help you launch smarter.

2/2/2026: Top 5 stories on the HackerNoon homepage!

174. The $0.01 B2B Lead: Engineering an Autonomous SDR Agent

Learn how to engineer an autonomous SDR agent using Gemini 2.5 Flash and n8n. Scale high-intent B2B lead generation for just $0.01 per lead

175. What Happens When You Stop Building for Demos and Start Building for Real Work

How to build practical, human-centered AI agents with small, agile teams to meet real federal challenges—without starting from scratch.

176. Partnr Launches to Connect Consumer Crypto With On-Chain AI Agents

177. Agentic AI May Be A Better Summary Tool Than You Realize

Revolutionize summary evaluation with Agentic AI. Ensure factual accuracy, deep understanding, and human-centric evaluation for trustworthy AI insights.

178. AI Agents and the End of Work as We Know It

AI agents are transforming industries, replacing jobs, and redefining the future of work. Here’s what this means for careers, businesses, and society.

179. How to Build a Fast and Reliable Workflow: Refactoring Agent Skills

A real-world Agent Skills refactor: progressive disclosure, the 200-line entry rule, and workflow-first design to prevent context blowups and regain speed.

180. Building the Future of Aviation Intelligence with Agno and AI Agents

In this article, we will learn how an AI Agent helps in decision-making for booking a flight by searching for the cheapest flight to the specified route.

181. Super-Agency: The Skill That Makes You Hard to Replace in an AI-Native World

AI anxiety is a skills mismatch. Super-agency means orchestrating AI systems—intent, workflows, tools, QA, iteration—to scale your output and control.

182. It's Great That My AI Bot Argues With My Swagger Schema: Explaining Why

When I started adding API test automation to Debuggo, I realized the whole process is a series of traps. Here is how I'm solving them.

183. What Does Your AI Agent Need to Conquer the Web?

Let’s explore what your AI agent truly needs to unlock its full potential and conquer the Web!

184. Shinkai Launches v1.0: Onchain AI Agents Go Live With USDC And Coinbase x402

Shinkai is an open-source, local-first platform for building and running AI agents. It combines offline AI, peer-to-peer protocols, and crypto payments to help

6/25/2025: Top 5 stories on the HackerNoon homepage!

186. Coding With AI: Four Workflows Every Developer Should Try

Explore how AI coding agents reshape developer workflows from autocomplete to pair programming and discover the future of coding collaboration.

187. Web3 Needs AI Agents to Scale Autonomy

Web3 took a big step forward, but it’s not a leap just yet.

188. The Rise of AI Agents and What It Means for Workflow Automation

Explore the rise of autonomous AI agents, their business integration, key challenges, and why now is the time to prepare for an AI-driven future.

189. Transform Your Ops with a Unified Agent and SOP Structure

Reference architecture for LoA-3 agents on rails: SOP-first (YAML), UC-governed tools, LangChain agent, Assurance Gate, MLflow 3 + OTel, Databricks GPT-OSS.