I openly share my journey and lessons learned in building and growing businesses, with the hope of supporting and inspiring fellow entrepreneurs. #buildinpublic
I'm thrilled by the positive feedback on my efforts to enhance our hiring process. Today, I finally wrote an article about it. What are your thoughts? Any areas you think I should delve into more deeply?
https://t.co/mAc6FZ0gYm
Have you tried pi? I was a long term Claude user and switched a few months ago. I find myself opening Claude less and less.
How’s the in-terminal browser? I’m constantly switching from https://t.co/oZzHizzY6G to ghostty 😅. I have disabled all ai features in warp and since they’ve added side tabs it made a huge difference for my workflow
@amix3k I think it is very important to make sure that we do not outsource our thinking so that we can make sure we maintain and build: taste, judgment and trust.
Success with AI will not come from simply picking the best model. It will come from building the best workflow around the model.
Day 2 had a lot of great talks, but the common thread was clear: AI coding is becoming a systems problem, not just a model problem.
Day 2 at @AIEMiami left me with one big takeaway: AI coding is no longer just about model quality. We’re moving from “LLMs that help write code” to “agent-driven software systems”.
Our products now need to work for agents too.
That means:
- APIs
- auth
- docs
- CLIs
- interfaces
All need to become more agent-friendly.
In many cases, your next user may not be a person clicking a dashboard.
Summary of Day 1:
Agents scale execution. They do not scale judgment. Which means the winning teams will be the ones that rebuild structure on purpose: pipelines, guardrails, review, persistence, and restraint.
@aiDotEngineer Miami Day 1 had one clear message: The future of agents is boundaries, not authority.
Best ideas I heard:
- code > tool calls
- pipelines > mega-prompts
- skills/markdown > bloated abstractions
- agents should author artifacts, not touch prod
- secrets should never reach the model
Agents scale execution. They do not scale judgment. That’s now our job.
The product lesson was maybe the most important:
AI removed the engineering friction that used to kill bad ideas early. Teams can ship bad ideas much faster.
Execution scaled. Judgment didn’t.