Insights & Articles
Articles and practical insights on AI, PDPA, data privacy, and digital transformation for Thai enterprises.
The Person Who Coined 'Vibe Coding' Says AI Code Is Still Awkward and Gross — Karpathy at Sequoia on Why Humans Stay in Charge
April 30, 2026 at Sequoia Capital — Andrej Karpathy, the man who coined 'vibe coding,' admits AI-generated code is still bloaty, copy-paste heavy, brittle and awkward. He calls AI agents 'intern entities' that need oversight. The twist: he's hand-coding his own Eureka Labs project. Here's what he said, the four things humans must own, and how to do AI-assisted coding that actually ships.
Building Multi-Agents That Actually Talk — A2A vs MCP, OpenClaw to xClaw, and Why 2026 Protocols Are the TCP/IP of the AI Era
Research plus a practical playbook: A2A (Google to Linux Foundation, 150+ orgs) for agent-to-agent comms, MCP (97M downloads/month) for agent-to-tool, OpenClaw at 250K stars surpassing React, NVIDIA's NemoClaw, Cisco's DefenseClaw, plus a 5-phase implementation guide for linking agents via A2A and 6 pitfalls to avoid.
Building Production AI Agents in 2026 — 7 Components, 8 Patterns, 4 Memory Layers, and Hard-Won Lessons
Production AI agents are not ChatGPT API calls. This guide covers the 7 core components (Perception, Reasoning, Memory, Tools, Orchestration, RAG, Infrastructure), 8 canonical patterns (ReAct, Reflexion, Plan-and-Execute, Supervisor-Worker, Debate, Verifier-Critic, Graph, Swarm), 4 memory layers, framework comparison (LangGraph/AutoGen/CrewAI), production targets (<1% failure rate, semantic cache for 70% cost reduction), and an 8-week implementation roadmap.
Apple Pays Google $1B/Year for Gemini-Powered Siri — But User Data Never Leaves Apple's Private Cloud
On January 12, 2026 Apple announced a multi-year deal paying Google ~$1B/year for a custom 1.2 trillion-parameter Gemini model to power the new Siri. Performance jumped from 58% to 92% on complex tasks, response time under 0.5 seconds. Apple's Private Cloud Compute architecture isolates user data from Google entirely. iOS 26.4 starts rolling out April 2026. This piece breaks down what it means for app developers, mobile marketing, enterprise mobile, and PDPA/GDPR compliance.
Salesforce Just Killed Its Own Browser — Headless 360 Turns Every Feature Into API/MCP/CLI for AI Agents (Biggest Architecture Shift in 27 Years)
On April 15, 2026 at TDX, Salesforce announced Headless 360 — the entire CRM exposed as API + MCP + CLI for Claude Code, Cursor, Codex, and Windsurf to access directly. 60+ MCP tools and 30+ coding skills shipped on day one. Here's what it means for the CRM/ERP industry, and why open-source players like Odoo are quietly winning.
Vercel Hacked Because One Employee Installed an AI App — Supply Chain Attack Lessons Every SaaS-Using Company Must Learn in 2026
On April 20, 2026 Vercel confirmed a security incident — customer API keys, source code, and database credentials stolen. Root cause: one employee installed Context AI, which got breached first, then hackers hijacked the OAuth-linked Google account and walked into Vercel's internal systems. Here's the full attack anatomy, 7 lessons for every SaaS-using company, and the PDPA angle for Thai businesses.
Claude Design Is Here — Anthropic's Prompt-to-Prototype Tool That Lets Non-Designers Ship, and Tanked Figma Stock the Same Day
On April 17, 2026, Anthropic launched Claude Design, powered by Opus 4.7. It reads your codebase to auto-build a design system, turns prompts into working prototypes, and hands off to Claude Code for production. Real numbers from Brilliant: complex pages dropped from 20+ prompts to just 2. This is a practical guide to what works, what doesn't, and who should use it.
GitHub Adds an Agents Tab Next to Code, Issues, and PRs — AI Coding Agents Are Now Part of the Normal Workflow
On January 26, 2026, GitHub launched the Agents tab inside every repository — a mission control where you can view sessions, start new tasks, and hand off to the CLI. In April, Research/Plan/Code modes and built-in security scanning arrived. Here are three real workflows and the things to watch out for.
AI Agents and Stock Trading — From 26.62% Returns on AAPL to Systems That Never Sleep, Never Panic, But Aren't Risk-Free
AI Agents are transforming trading from indicators on a chart to autonomous systems that analyze, decide, and manage risk on their own. TradingAgents delivered 26.62% on AAPL while buy-and-hold went negative. But before you get excited, this article covers both the opportunity and the dark side you need to know.