Technical content for technology decisions
Practical articles on deploying applications, using AI with company data, integrating systems, and operating infrastructure.
How to put a system built with AI into production
Generating code with a programming agent got fast. Publishing that code with a database, HTTPS, backup, and someone watching the server is still a different craft.
Own server or managed infrastructure?
Compare self-managed servers and managed infrastructure based on cost, responsibilities, security, backups, and technical support.
How to deploy an application from GitHub
Learn how to structure the repository, environment, and deployment process to publish and update an application safely.
RAG for businesses: AI connected to company data
A language model on its own answers with what it saw on the internet. A company needs answers with internal policy, product, and history — with permission and limits.
RAG or fine-tuning: which should you use?
Both change what AI answers. Only one of them is the usual path for internal documents, policies, and catalogs that change every week.
How to integrate two systems through an API
A reliable integration must control data delivery, confirmation, and reprocessing when failures occur.
How to integrate WhatsApp into the company's CRM
Integrating WhatsApp with your CRM organizes conversations into queues, preserves history, and defines the next steps in customer service.
How much does custom software cost?
Cost depends on the project scope, business rules, integrations, communication channels, data requirements, and operational needs after launch.