Guides for decisions about development, automation and modernization
Answer the questions behind a software investment before you choose scope, supplier or budget.
Before investing in software
Practical guides for comparing your options and deciding what to do next.
Risk, cost and impact on day-to-day operations.
Value, data readiness and the risk of a first pilot.
Evidence and terms of working together.
Total cost and a realistic return.
Data, access, integrations and changing supplier.
Browse technical articles, project lessons and market notes by topic or date.
July 2026 brought the steepest AI price cuts on record, and 73 percent of companies still overshot their AI budget. The number that decides the bill is not the price of a token but how many tokens one finished task burns.
A practical operating model for software teams that want AI agents to implement changes while people retain approval, review, merge, and deployment.
A practical account of semantics, keyboard use, focus, contrast, forms, reflow, reduced motion, and the limits of automated accessibility testing at Rise.sk.
Compare Next.js with Axum, Askama, and htmx through browser state, contracts, caching, deployment, security, mobile clients, and project handover.
Choose a first automation by scoring the work, data, risk, ownership, and reversibility. Then validate one pilot before you expand it.
A buyer checklist for security, integrations, data roles, ownership, support, and exit planning before signing a software contract.
