Local AI & autonomous workflows

Verlaten perron van metrostation Stadion in Stockholm, met tl-balken aan het plafond en een grote klok op de achtergrond. Een metafoor voor wachten en tijdsdruk: wat doe je als de dienst waar je van afhankelijk bent er opeens niet meer is?

Frontier models offer speed but diminish your control: rate limits, pricing changes and export restrictions lie beyond your influence. For autonomous workflows that run unattended (regression analysis, test generation, migrations), local, open-weight models are superior. QA Company argues: use frontier models interactively where their advantage truly matters, run autonomous work on local hardware for complete independence. This distinction determines where you genuinely retain control.

Testing in a world with AI Agents: AI accelerates, the expert safeguards the direction

De Tester in een Wereld met AI Agents 2

AI agents are increasingly finding their way into test automation. They analyze failing tests, propose new test cases, and even automatically generate test code—for example, for Playwright. They do this not only based on test results and log data, but also through analysis of the System Under Test, underlying application code, and contractual specifications. This […]