So I had a technical interview with a foreign company today—that would be my 3rd interview this month. For this one, I can’t even remember when I applied, but apparently they had my resume and reached out (for the others, they found me via my works, which was quite impressive).
The live assessment wasn’t the usual LeetCode routine. It was centered entirely around agentic workflows and how you actually build with AI.
Instead of just prompting blindly or writing code on pure vibes, I shared my screen and drilled down into my actual engineering setup:
- Linear for planning, tracking out issues, and milestones synced directly to the agent harness so there’s strict project context
- Custom skills and design tokens (design.md) so the agent understands the exact blueprint before generating anything
- Architecture rules and custom linters (like server-first Next.js patterns) that let AI build correctly in one pass without messing up structure
- GitHub CI pipelines and review agents (like CodeRabbit) where any flagged bug or CVE gets looped back and fixed by the agent before merging to main
And guess what prompt I got to test this entire enterprise-grade agentic pipeline? A to-do app... lols. 😂
The interviewer was honestly blown away by the workflow and tooling. Not entirely sure if this is something I'd want to do long-term, but it was really fun showing how structured engineering keeps autonomous agents on rails. Let us see how it goes.
Where is that opensource @pewbeam_ai alternative again?
Rhema… I doubt people are using it. Just another fun project
Make I go dae copy deepgram api key every Sunday 😭😭😭😭💔💔💔💔
Paid products that cater for a niche always win.