Devdeep

Linux users is this true 😂

Prisma or Drizzle ORM? If you're starting a new Node.js backend today, which one would you choose? Do you prefer Prisma's developer experience or Drizzle's SQL-like approach? What's your reason?

GitBook has disclosed an AI-agent-assisted cyberattack. An attacker accessed some of its infrastructure credentials. Potentially exposed: - API tokens - Git Sync secrets - Third-party integration tokens - GitBook Assistant questions GitBook revoked customer API tokens and took services offline during containment. AI agents are changing both sides of cybersecurity.

Your API is working fine locally but users are reporting random failures in production. What's the first tool you reach for? Logs, metrics, distributed tracing, or error monitoring? And why?

Your API caches product details in Redis. A product's price gets updated in PostgreSQL, but users keep seeing the old price. How would you handle cache invalidation? Delete the cache, update it, or use TTL?

Microsoft Research has an interesting idea for reducing AI coding costs. It's called TokenEconomizer. Instead of making coding agents smarter, it makes them more efficient. It learns from previous sessions: Remembers useful project commands Stores repository-specific knowledge Removes unused tools from future sessions Its reported experiments show 18.4% to 30.9% lower mean costs. Sometimes the biggest AI improvement isn't a better model. It's wasting fewer tokens.

Your payment API receives the same webhook 5 times. How would you ensure the customer is charged only once? Would you use idempotency keys or something else?