Breaking down complex features into junior-friendly tasks
Code review processes that educate while maintaining velocity
1:1 mentoring and skill development plans
Managing distributed/remote teams
Productivity Systems:
Implemented engineering metrics (velocity, cycle time, PR turnaround)
Set up automated code quality gates (ESLint, Prettier, SonarQube)
Built documentation culture (ADRs, API docs, runbooks)
Experience with Linear/Jira, Notion, Slack workflows
AI-Powered Development Practices
Code Quality Automation:
GitHub Copilot/Cursor integration for team productivity
Automated PR reviews using AI tools
Set up automated testing (Jest, Cypress, Playwright)
Implemented error monitoring (Sentry, LogRocket)
Reliability & Monitoring:
Built observability stack (Datadog, New Relic, or similar)
Implemented feature flags for safe rollouts
Zero-downtime deployment strategies
Incident response protocols and post-mortems
Work Allocation Strategies
For Junior Developers:
Created modular task structure (2-3 day deliverables)
Pair programming rotation schedules
Built internal tools/dashboards as learning projects
Established clear PR templates and review checklists
Scaling Tactics:
Component library development for consistency
API standardization across products
Shared services architecture
Cross-product code reusability
About Attack Capital
Access the start-up asset class with a diversified, vetted group of seed-stage companies innovating in AI to climate tech from recent Y Combinator batches.
