A developer must follow established processes and limits. Deviating from proven methods or exceeding system limits causes errors. It also wastes time and resources.
By Pawan Nayar · from the LLOS AI Learning record
A developer must follow established processes and limits.
Deviating from proven methods or exceeding system limits causes errors. It also wastes time and resources.
A developer should not create new ways to do things. The existing process works well. Copy the process exactly. A developer must not send too many data slots. The maximum number is 42. A special script checks this limit. A developer should keep different steps separate. For example, do not combine 'bake' and 'match' steps. If 'bake' fails, the developer will not lose the results from the AI model. A developer must use the correct method to read data files. For JSON files, use 'open' and 'json.load'. Do not use 'read_text()'. When a task fails, a developer must stop. The developer needs to explain the problem. Do not try again without telling anyone. Silent retries waste a lot of time.
A developer tries a new way to process data. The new method causes an error. The developer spends an hour fixing the problem. Following the original process would have prevented the error.
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An AI model must always read a specific set of files. These files include 'mistakes_and_lessons.md'.
When a developer creates or changes a file, the developer must state its full path. The developer must list all full file paths at the end of the conversation.
An AI model must read `mistakes_and_lessons.md` first. This file contains rules learned from past problems.
An AI model can generate a large glossary by using a multi-pass data pipeline. Each pass focuses on different content.
A developer must follow established processes and limits. Deviating from proven methods or exceeding system limits causes errors. It also wastes time and resources.