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Musician and entrepreneur Tom Vek is building a digital music player, but don’t call it retro

Tom Vek burst onto the scene in 2005 with his album We Have Sound, which garnered a solid 7.6 from the tastemakers of the day over at Pitchfork. His undeniably catchy brand of dancy indietronica landed him an appearance on The OC and placement on the Grand Theft Auto IV soundtrack. His follow-up, Leisure Seizure, […]

Musician and entrepreneur Tom Vek is building a digital music player, but don’t call it retro

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React Mastery Series – Day 31: Advanced React Architecture – Designing Large-Scale Applications

Welcome back to the React Mastery Series ! We've completed the first 30 days of our React journey. So far, we've covered: React Fundamentals Components & Props Hooks Context API Redux Toolkit API…

  • High cohesion: Group related features in a domain (e.g., Payments)
  • Low coupling: Features communicate through public APIs, not direct dependencies
  • Scalability: Organize around business domains, use layered architecture, clean architecture

Build, Buy, or Call an API: How We Actually Decide

Clients ask me why we don't just build our own model. It's a fair question, and most of the time the honest answer is that building our own would be the slowest and priciest route to a result slightly…

  • Shanti Infosoft avoids building AI models to save time and cost.
  • They opt for APIs on commodity capabilities like text generation or translation.
  • Building only makes sense for unique selling propositions or proprietary data influence.

Designing MCP tools an agent won't misuse

The first article in this series made a pair of claims. One: an AI-native product is an MCP server that lets an agent do things, not a chat widget that talks about them.

  • Well-typed calls can still go wrong despite schema validation.
  • Design MCP surface to prevent misuse by constraining input space.
  • Use closed types like enums and provide clear tool descriptions.