

AI-First Project Management for Developers | Alex Gavrilescu on Backlog.md
16 snips Oct 14, 2025
Alexandru Gavrilescu, lead engineer and creator of Backlog.md, dives into innovative AI-driven project management. He discusses the crucial role of clear specifications for effective AI coding and how persistent agents can autonomously manage tasks. The conversation highlights the need to re-evaluate Agile methodologies in light of AI's capabilities, emphasizing the shift towards disposable software and faster prototyping. Alex also explores the balance of human review and automated processes, forecasting a future where agents continually coordinate tasks and improve efficiency.
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Specs Are The Foundation
- Successful AI collaboration starts with precise specifications and project-level context.
- Specifications must include security, CI/CD, language, and measurable acceptance criteria.
Backlog Started As A Personal Trial
- Backlog.md began as Alex's personal experiment to let AI code most tasks autonomously.
- He turned repeated vibe-coding failures into a spec-driven project to improve consistency.
Stop Relying On Vibe Coding
- Avoid 'vibe coding' sessions that rely on ephemeral context and repeat the same fixes.
- Persist specs across tasks so agents don't re-encounter the same issues each session.