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Use pgx instead. Pure Go, connection pooling, prepared statements. Or pgxpool for built-in connection pool. Production ready. Watch the full video for the full migration guide and performance benchmarks! #golang #nodejs #memory #containers #docker #shorts #coding #backend #performance #devops

Can Node.js cold starts keep up with Go? We tested it in an isolated container with real DB connections. Watch the long-form video on my channel for a detailed show on how we set up the experiment! Fight me in the comments! GitHub: https://github.com/prod-garbage-destroyer/cold-start-tax-experimen

Cold start is a tie at ~500ms. But Go uses 7.6x less memory and 6x smaller images. The hidden cost? The database driver. Here's the full breakdown. Checkout the Benchmark Repository on Github/prod-garbage-destroyer/cold-start-tax-experiment

Your AI agent didn't fail in one request. It failed across the entire workflow. Step two subtly hallucinates, and step five silently corrupts your database. Normal QA and standard logs are useless here. You don't need more unit tests. You need deterministic traces, semantic eval gates, and replayabl

Your cloud bill is paying for silent AI agent failures. Traditional APM is dead here—a 200 OK network request means nothing if the reasoning engine drops a production table. You need semantic evaluations mapped to LLM decision trees. Stop shipping agentic wrappers until your monitoring can evaluat

Spring Boot is the enterprise cathedral, but Quarkus is the cloud-native blade. In 2026, if you care about startup speed, container density, and cloud bills, there's only one winner. 00:00 - The Hook: Popular vs Fast 00:11 - Startup Speed: Native Battle 00:19 - Memory Massacre: 3x Density 00:27 - Th

Java is an enterprise tank, but Go is the speedrun language for teams that care about shipping. In 2026, the real bottleneck isn't concurrency—it's memory and deployment friction.

Benchmarked predictable pricing, exposed NoSQL query limitations, and explained why the choice between Supabase and Firebase is really just SQL vs proprietary lock-in. #Supabase #Firebase #SQL #NoSQL #SystemDesign #DevVerdict #2026 #WebDev #Backend #FullStack #IndieHacker #Shorts

Spring Boot is the industry titan. Quarkus is the cloud-native speed demon. In this 6-minute deep dive, we put the frameworks to the trial across performance, developer experience, and deployment reality. In 2026, "it works" is no longer enough. We analyze why the Build-Time-First philosophy of Qua

Demystified the streaming hype, exposed the operational tax of Kafka in non-streaming workloads, and provided a clear hierarchy for message broker selection based on actual architectural needs.

Benchmarked token-to-fix ratio, exposed hallucination patterns in RAG-based coding agents, and concluded that current AI tools add more technical debt than they resolve for senior-level engineering tasks.

Stop building fantasy AI architectures. Most internal tools don't need a complex retrieval pipeline—they just need a modern context window and better prompts. Here is the reality check on RAG vs Direct Prompting.
93 videos total