The AI Skill I Rely On Daily — Priscila Andre de Oliveira, Sentry
- Source
- youtube.com
- Author
- AI Engineer
- Date
Context
A software engineer at Sentry, an application-monitoring company, describes using AI to understand a changing codebase before approving or requesting changes. The personal catch-me-up in the talk turns recurring questions about architecture, tests and code history into a repeatable investigation, with diagrams and tables that help the developer inspect the explanation.
The useful step is checking the 's understanding before it starts implementing a plan. If its account of how a feature works is wrong, the developer can redirect the investigation before that misunderstanding becomes code. This is a personal working method; the talk does not establish that the skill is publicly available.
- agent skill — A reusable instruction file that teaches an agent how to do one job well — the procedure, the tools, and what counts as done.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
“since December uh 2025, I haven't coded anymore. I'm only prompting”
Priscila Andre de Oliveira
“67% of my AI usage was comprehension and only 2% code generation”
Priscila Andre de Oliveira
“the biggest unlock from AI in a large code base isn't generation. It's comprehension.”
Priscila Andre de Oliveira
“AI is the teammate who never gets tired of your questions. So, there is no dumb questions. It's the cheapest senior engineer out there.”
Priscila Andre de Oliveira
“don't ship slop code into the code base that pays your salary. Ship keynote code.”
Priscila Andre de Oliveira
- 0:00Introduction and speaker background
- 2:25Sentry's engineering environment and scale
- 3:50AI-driven projects at Sentry
- 5:48Maintaining code quality and technical debt
- 7:35The role of comprehension in software development
- 9:38Analyzing AI usage patterns
- 10:33The "Catch Me Up" skill architecture
- 12:15Short demo of the "Catch Me Up" skill
- 13:56Planning vs. implementation in AI workflows
- 15:26Conclusion and key takeaways
videoBetter AI Models Won't Fix Your Engineering Team — Nicholas Arcolano, Jellyfish
videoWhy AI Writing Still Reads Like Slop — Louis-François Bouchard, Towards AI
videoHow to Test AI Agents When No Benchmark Exists — Nathanael Weill, Air Canada
video1,368 AI Failures and What They Teach About Evals — Vishal Srivastava & Tanmay Sah, New York Life
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