Don't just write code. Design scalable systems with AI as your senior sounding board.
Use AI to analyze architectural trade-offs. Should you use Postgres or Mongo for this specific workload? Claude and ChatGPT can help you weigh the pros and cons based on your unique data access patterns.
Describe your entities in natural language and get a fully normalized database schema. Identify circular dependencies and missing indexes before they hit the database.
Deep dives into using AI for the hardest parts of software engineering.
Why senior architects use AI to challenge their own assumptions before writing a single line of code.
Go from vague entities to optimized SQL schemas and relationship diagrams in minutes using the Right-Context method.
Crafting RESTful and GraphQL specifications. Use AI to ensure consistency across endpoints and versioning.
How to use Cursor rules and custom prompts to ensure your AI assistant follows clean architecture or hexagonal design.
Simulate high-load scenarios with AI. Identify potential bottlenecks in your system design before they become production issues.
Generating ADRs (Architecture Decision Records) and READMEs that actually stay in sync with the implementation.
Absolutely. We focus on the "why" and "how" of designing complex systems. AI is a great sounding board for trade-off analysis (e.g., CAP theorem, database selection).
Yes. One of the best uses for AI is turning complex architectural thoughts into clear, formatted technical specifications and diagrams.
The architectural principles are tool-agnostic. Whether you use Laravel, Go, Node, or Python, the system design mental models remain the same.
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