Tag: idempotency

A webhook can arrive twice, and an external API might stop responding. How to design automation that can handle such situations.

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

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.

Classification and proposal preparation are different tasks than performing an irreversible operation. How to define the boundaries of model autonomy.

No-code tools can shorten the path to a working process. However, it is crucial to determine who is responsible for data, errors, and integration maintenance.

The choice of tasks for AI should consider risk and the possibility of verifying the result. Practical criteria for code, content, and automation.

Code generated by a model requires the same standards as the rest of the code. Key review areas: permissions, inputs, and side effects.

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

Data control, maintenance costs, and infrastructure requirements influence the choice of solution. Questions to ask before making a decision.