𝗛𝗼𝘄 𝘁𝗼 𝗨𝘀𝗲 𝗟𝗟𝗠𝘀 𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆

𝗛𝗼𝘄 𝘁𝗼 𝗨𝘀𝗲 𝗟𝗟𝗠𝘀 𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆

LLMs help you work faster. They are amplifiers. They are not replacements for your brain.

Use LLMs for speed.

• Write boilerplate code.
• Create tests for patterns.
• Draft documentation.
• Change code formats.

These tasks do not need perfection. They get you 80 percent of the way. You focus on the hard parts.

Review all AI code. AI writes plausible code. It often fails. AI makes up APIs. AI misses edge cases. Treat AI output as work from a junior developer. Verify everything before shipping.

Prompt better. Break big tasks into small steps. Do not ask for a full system. Ask for one utility. Then ask for one endpoint. Then ask for one module. Small prompts give better results.

Learn faster. Ask LLMs to explain concepts. Compare tools. Suggest ways to solve a problem. Check these answers against official docs.

Build a prompt library. Save working prompts. Refine them. Use them for commit messages or release notes.

Know the limits. Do not use AI for security code. Avoid AI for high performance logic. Use your own skill for novel problems.

Technical tips for production.

• Use JSON for outputs. It is easier to parse.
• Cache responses. This saves money and time.
• Use RAG for your docs. This helps support bots.
• Set up evaluation pipelines. Measure accuracy.

Start small. Pick one task. Measure the result. Expand only after success.

Source: https://dev.to/therizwansaleem/how-to-use-llms-effectively-in-your-daily-work-a-practical-guide-59nl