Blog

Insights on AI, software engineering, and technology trends from the ASAGUS team.

Editorial illustration of a connected AI network surrounded by circular feedback paths, beside the words Recursive self-learning on a dark teal background.
AI & Machine LearningOct 11, 2026

Recursive Self-Learning in AI: Breakthroughs and Limits (2026)

AI is starting to improve its own tools, training and research workflows. Explore the science behind recursive self-learning, what works, and where it fails.

18 min read225
MCP security architecture showing an AI agent, security policy layer and MCP server with protected tools and data access.
AI & Machine LearningOct 9, 2026

MCP Security in 2026: Risks, Best Practices & Checklist

MCP connects AI agents to real tools, data and business systems—but that creates new security boundaries. This guide explains the most important MCP risks, OAuth controls, prompt injection defenses, tool security and production best practices for 2026.

17 min read401
AI agent production architecture showing tool calls, memory, APIs, tracing and failure points around an agent workflow.
AI & Machine LearningOct 6, 2026

Why AI Agents Fail in Production: 10 Engineering Failure Modes (2026)

AI agents often work beautifully in demos and fail under real production conditions. Learn 10 practical failure modes across tools, memory, evals, security, observability and recovery—and the engineering patterns that make agents more reliable.

15 min read198
Architecture illustration showing AI agent requests for models, tools, memory, approval and parallel work passing through a central handler and policy boundary
AI & Machine LearningOct 6, 2026

Why AI Agents Keep Reinventing the Same Runtime and What Algebraic Effects Have to Do With It

Retries, tools, approvals, memory, tracing, replay, fallbacks and parallel agents look like separate problems. A 20-year-old idea from programming-language research suggests they may be different versions of the same deeper problem.

24 min read197
Laptop dashboard surrounded by icons for voice notes, research, automation, meetings, mind maps and AI workflows.
AI & Machine LearningOct 3, 2026

15 Best Free AI Tools for Productivity in 2026: What’s Actually Worth Using?

Most AI-tool lists repeat ChatGPT, Claude and Gemini. We researched 15 lesser-known free tools that can actually save time across meetings, research, automation, notes, visuals and deep work.

19 min read513
ChatGPT MCP app architecture with Apps SDK and MCP server
AI & Machine LearningAug 29, 2026

How to Build a ChatGPT MCP App in 2026: Apps SDK Guide

Learn how ChatGPT MCP apps work and how to build one using the Apps SDK, a remote MCP server, tools, interactive UI, authentication, and production-ready patterns.

12 min read304
Diagram showing an AI agent connecting to business tools and data sources through Model Context Protocol servers
AI & Machine LearningAug 27, 2026

Model Context Protocol (MCP) in 2026: Complete Guide

Model Context Protocol is becoming a core integration layer for AI agents. This guide explains MCP architecture, servers, tools, security, 2026 changes, business use cases, and when to use it.

13 min read379