Skills Engineering
Turn repeatable development habits into reusable instructions, checklists, and project-aware workflows that agents can apply consistently.
10x Coding System
Faster AI coding comes from repeatable systems: clear specs, reusable skills, focused windows, review loops, and context that helps agents make better engineering decisions without sacrificing code quality.
OpenSpec Workflows
Use proposals, designs, specs, and task lists to move from idea to implementation without losing intent or acceptance criteria.
Multi-Window Development
Split planning, implementation, review, and verification across separate AI sessions while keeping source control and context under control.
Context Engineering
Package architecture notes, rules, examples, and constraints so AI tools work from the right project memory instead of scattered prompts.
Agent Orchestration
Coordinate planner, builder, reviewer, and test-focused agents around the same repo without creating conflicting changes.
A practical multi-window pattern
Window A
Planner
Clarifies scope, writes OpenSpec artifacts, and identifies acceptance criteria.
Window B
Implementer
Makes focused code changes against the task list and runs local checks.
Window C
Reviewer
Reviews diffs, flags risks, and pushes for tests or simpler implementation.
This section teaches practices that can improve throughput, but it avoids guaranteed productivity claims. The goal is reliable engineering speed through better systems.