Updated on
🧠Headline
AI‑assisted software development isn’t “vibe coding.” It’s a new discipline where the developer becomes the architect, the orchestrator, and the quality bar — while agents do the mechanical work.
This illustrates a shift from:
- Hand‑crafted, perfectionist coding
to - High‑leverage, agent‑driven building
The surprising part is that it is possible to ship more reliable software, faster, by not reading most of the code — because we design systems that let the AI validate itself.
đź’ˇ The 5 Core Ideas
1. The developer’s job is changing from coder → system designer
I don’t write nearly as much code anymore.
I design architecture, constraints, validation loops, and tests — then let agents implement.
I call this agent engineering, not vibe coding.
2. Closing the loop is everything
The magic isn’t in prompting.
It’s in building systems where the AI can test, debug, and verify its own work.
If the agent can’t validate its output, the whole workflow collapses.
3. Speed comes from parallelization
It’s possible to run 5–10 agents in parallel, each cooking on a different part of the system.
Jumping between them is like a StarCraft player managing multiple bases.
This is how one can merge hundreds of commits in a day.
4. Architecture matters more than ever
Ironically, AI forces better architecture:
- clear boundaries
- testable components
- CLI‑driven execution loops
- plugin‑based systems
- deterministic interfaces
Because if the architecture is sloppy, the agent can’t reason about it.
5. The emotional shift: letting go of perfectionism
I used to obsess over whitespace, naming, and micro‑details.
Now I care about:
- system shape
- correctness
- testability
- user experience
I accept that AI‑written plumbing code doesn’t need to be beautiful — just correct and verifiable.
🎯 In one sentence
The future of software engineering is humans designing systems and constraints, and AI doing the implementation — with validation loops ensuring quality.
self.about()
