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Payment provider abstraction, webhook security, subscription lifecycle, dunning flows, pricing models, invoicing, tax handling, and refund patterns for SaaS applications.

Pre-launch verification across infrastructure, security, legal, payment, email, analytics, and performance. Day-1 monitoring, rollback plan, incident response skeleton, and post-launch week-1 checklis

SaaS analytics event taxonomy, metric formulas (MRR, churn, LTV), provider-agnostic tracking, funnel analysis, cohort setup, and privacy-respecting instrumentation.

Router-First Architecture

Comprehensive code review workflow - parallel specialized reviews → synthesis

Generate design docs, ADRs, and concept docs from existing code by reverse engineering intent

Resume work from handoff document with context analysis and validation

Circuit breaker, bulkhead, retry with jitter, graceful shutdown, health check patterns for production resilience.

Document codebase as-is with thoughts directory for historical context

Research agent for external documentation, best practices, and library APIs via MCP tools

Agent reputation scoring, performance tier system, trust calibration, and task affinity matching

Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase

Store a learning, pattern, or decision in the memory system for future recall.

Release preparation workflow - security audit → E2E tests → review → changelog → docs

Check reference SDK implementations using btca ask

Code refactoring workflow - analyze → plan → implement → review → validate

Query the memory system for relevant learnings from past sessions using semantic search.

Search past reasoning for relevant decisions and approaches

QLTY During Development

Code quality checks, formatting, and metrics via qlty CLI

Pyxel retro game engine patterns - pixel art, game loops, sprite/tilemap, MML audio, resource management, and web deployment

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.