P.01ALTER 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.02The 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.03Traditional 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.04Prompt 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.05Video 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.
P.06The honest read on web developer demand after AI's impact, which roles are hot, which are cooling, and what the working week actually looks like across employment types.
P.07Real revenue, profit margins, and owner take-home for solo, boutique, mid-size, and enterprise web agencies, including the messy parts most income reports skip.
P.08A short, direct answer to 'how much is website development' with bracket ranges by project type, the four levers that move the price, and where to read the deeper breakdown.
P.09Five different things people mean by 'update' (content, dependencies, performance, design, full rebuild) and how often each should actually happen.
P.10When proximity actually matters, when it doesn't, and how to evaluate local agencies without falling for the 'we have an office in your city' theatre.
P.11AI coding has moved past autocomplete. In 2026, autonomous agents read tickets, write code, run tests, fix failures, and submit PRs — all without human intervention. Here is what this actually looks like in practice and what it means for engineering teams.
P.12AI coding tools accelerate development. They also introduce subtle, systemic problems that most teams do not notice until it is too late. Here are the 7 AI-specific mistakes we have seen across 11 client projects, and the patterns we use to prevent them.