Archive / collected thinking

Tag: n8n automation

  • Dmitry Rodionov

What should a developer using AI learn

Code generation does not replace system understanding. Debugging, data contracts, and solution validation are skills worth developing.

  • Dmitry Rodionov

How to prepare a legacy system for integration with AI

Modernization does not always require replacing the entire system. It's important to first organize data access, responsibilities, and integration boundaries.

  • Dmitry Rodionov

Voice interface: when does it make sense in a product

Voice can make task completion easier but does not suit every situation. How to assess its use and plan a safe fallback to a traditional interface.

  • Dmitry Rodionov

Internal knowledge base with AI: from content to answers

A knowledge assistant needs organized sources, access control, and updates. Simply adding a language model does not solve the search problem.

  • Dmitry Rodionov

Product data ready for reuse

Consistent product descriptions, parameters, and URLs make it easier to use them in search and integrations. How to ensure solid technical foundations.

  • Dmitry Rodionov

SEO and AI search: structured content above all

A clear site structure, accessible content, and consistent metadata help systems interpret information. However, they do not guarantee citation or ranking.

  • Dmitry Rodionov

Integration security: endpoints, permissions, and monitoring

Extending the site with integrations expands the area that requires protection. How to prioritize and limit the consequences of incorrect or unauthorized requests.

  • Dmitry Rodionov

How to reduce infrastructure costs without losing control

Unnecessary API calls, duplicate tasks, and lack of measurement can increase expenses. How to look for costs resulting from architecture.

  • Dmitry Rodionov

Website brief: start with the business goal

What should a visitor understand and do on the website? How to translate the business goal into project scope and acceptance criteria.

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