Why Most Startups Build AI Backwards
Wrapping an LLM API in a controller is not an AI product. We break down how to design deterministic evaluation pipelines, cache requests, and design low-latency systems before scaling up prompt expenses.
Opinionated engineering analysis on building software that compounds in value over time.
Wrapping an LLM API in a controller is not an AI product. We break down how to design deterministic evaluation pipelines, cache requests, and design low-latency systems before scaling up prompt expenses.
You don't need microservices to scale. Learn how to diagnose database locking, split database reads/writes, decouple background queue architectures, and keep your monolithic codebase highly maintainable.
The cost of building code that is hard to change is direct product stagnation. Why early architectural clarity is the ultimate velocity multiplier for startup engineering teams.
Our founder, Wilbur Suero, publishes weekly notes, open-source documentation, and database optimization techniques on his personal developer blog.
Read Wilbur Suero's JournalWe help startup teams move faster by designing cleaner systems and implementing solid software architectures.
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