Industry & Trends

A Get-Together on Where AI Is Heading

A recap of an industry get-together: from quantum physics to sizing up Cursor, Antigravity and the cheap models, to the end of the cheap-token era and why you should package your own Skills.

A Get-Together on Where AI Is Heading
Date29/04/2026
LocationHà Nội

A Get-Together on Where AI Is Heading

Key points
  • A casual meetup that was supposed to be about AI Agents and Vibe Coding — and ended up on quantum physics.
  • A quick rundown of today's hot coding tools: Cursor, Antigravity, and the cheap models — each with its own story.
  • The era of cheap tokens for "coding all day long" is ending — and why packaging your own Skills is the smart move.

Yesterday's "meeting." If I told you we talked about AI Agents, Vibe/Agentic Coding, or Sơn's broken CI/CD (cursed by Nguyện's bad luck)... well, that would be too ordinary.

Peers in the industry meeting up to talk about AI trends
An industry get-together — Hà Nội, April 29, 2026

Yesterday, we actually talked about... quantum physics

So why is a quantum computer so much more powerful than a regular one? Because it uses the superposition principle. Where a regular computer only has bits of 0 and 1, a quantum computer uses qubits — which can represent 0, 1, or both at the same time.

Plus, a look at a few tools

Sizing up the coding tools

Tools
Each one has its own story

The smartest tool doesn't always win — the story, the experience, and the "muscle" behind it decide how mainstream it becomes.

Excellent UX. It indexes (RAG) the codebase, so it's sharp at finding issues and related logic. Yet somehow it just doesn't get the FOMO the others do.

The cheap-token era is ending

Coding Agents keep getting pricier. The days of cheap tokens for "coding all day long" are almost over.

The fix: package your own Skills

You should package your own Skills. It not only reduces context dilution, but is highly efficient because each Skill solves exactly your own task.

  1. 01
    Use one thread for a repeated task

    Open a thread and do a task you frequently run, over and over.

  2. 02
    Have the AI Agent package it

    Then ask the AI Agent itself to wrap everything you just did into a Skill of your own.

  3. 03
    Reuse it

    Next time, just call the Skill — clean, efficient, less dilution.

It's not the strongest model that wins — it's whoever packages their own workflow into something reusable.

Peers in the industry · An offline get-together
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