ai-marketing-skills/finance-ops/references/rates.md
Alfred Claw a96d0d8889 Initial commit: 6 AI marketing skill categories
- growth-engine: Autonomous experiment engine (Karpathy autoresearch for marketing)
- sales-pipeline: RB2B router, deal resurrector, trigger prospector, ICP learner
- content-ops: Expert panel, quality gate, editorial brain, quote miner
- outbound-engine: Cold outbound optimizer, lead pipeline, competitive monitor
- seo-ops: Content attack briefs, GSC optimizer, trend scout
- finance-ops: CFO briefing, cost estimate, scenario modeler

79 files, all sanitized - zero hardcoded credentials or internal references.
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Hourly Productivity Rates by Code Type

Lines Per Hour (Senior Developer, 5+ years)

Code Type Lines/Hour Notes
Simple CRUD/UI 30-50 Forms, basic views, standard patterns
Complex business logic 20-30 State machines, workflows, validations
GPU/Metal/shader programming 10-20 Metal, CUDA, OpenGL, compute shaders
Native C/C++ interop 10-20 FFI, bridging headers, memory management
Video/audio processing 10-15 AVFoundation, CoreMedia, codecs
System extensions/plugins 8-12 Kernel extensions, DAL plugins, drivers
Comprehensive tests 25-40 Unit, integration, snapshot tests
Infrastructure/DevOps 15-25 CI/CD, Docker, Terraform, scripts
API integrations 20-30 REST, GraphQL, WebSocket clients
Data processing/ETL 15-25 Parsers, transformers, pipelines

Overhead Multipliers

Activity % of Coding Time
Architecture & design +15-20%
Debugging & troubleshooting +25-30%
Code review & refactoring +10-15%
Documentation +10-15%
Integration & testing +20-25%
Learning curve (new frameworks) +10-20%

Total overhead typically: 1.9x-2.25x raw coding hours.