P.01Rolling back a bad API endpoint takes seconds. Rolling back a bad LLM integration is harder — the damage may already be in your logs, your users' inboxes, or your clients' feeds. Feature flags are how you ship AI features without betting everything on launch day.
P.02HTTP/3 is in production at every major CDN and supported by all modern browsers. Whether it actually helps your application depends on factors most guides don't explain.
P.03AI features ship fast. Then the monthly API bill arrives. Here's a systematic approach to understanding and reducing LLM costs without breaking the product.
P.04Getting a language model to return valid, schema-conforming JSON is harder than it looks. Here's what works in production, from native structured output APIs to library-level validation.
P.05Most AI project failures start at the scoping stage. The client wants 'AI integration.' The agency quotes a price. Nobody defines what that actually means. Here's how to scope these projects properly.
P.06Every AI integration budget starts with API costs and ends with surprises. Here's what production AI features actually cost once you account for everything the initial estimate missed.
P.07uv is a Python package manager written in Rust that handles dependencies, virtual environments, and Python version management. We've been using it across all our projects since early 2026. Here's what actually changed.
P.08ALTER TABLE locks your database. Your migration takes longer than expected. Users get errors. Here's how to handle schema changes that don't interrupt production traffic.
P.09The choice between fixed-price and time-and-materials contracts is one of the most consequential decisions in an agency-client relationship. Each model transfers risk differently. Here's how to decide which one fits your project.
P.10Traditional monitoring tells you a request took 800ms. It doesn't tell you the LLM spent 600ms on a bad prompt, returned a hallucinated answer, and burned $0.04 in tokens. Here's how to actually instrument AI applications with OpenTelemetry.
P.11Prompt injection is the SQL injection of the AI era. As LLMs ship into production apps by the millions, attackers are learning how to hijack them through the data they consume. Here's what the attack looks like and how to defend against it.
P.12Video calls, live collaboration, real-time audio — features clients want more than ever. WebRTC makes them possible, but the gap between a working demo and a production deployment is wider than the documentation suggests. Here's what that gap looks like.