How to optimize Codex prompt words?

When it comes to optimizing Codex prompts, it's a love it or hate it topic. I've seen too many developers type in vague commands like "fix bugs" and then complain that Codex doesn't give them the results they want. In fact, Codex is like an exceptionally smart, but somewhat stubborn, intern. You have to make your requirements clear for it to give you the results you want. Recently, after helping a team optimize their prompt words, the task completion rate directly soared from 40% to 85%, the gap is too obvious!

Core principles of cue word optimization

Good prompts should be as natural as sending a message to a friend, but as precise as writing a contract to a lawyer. For example, instead of saying "optimize performance", say "reduce user list load time from 2 seconds to less than 500 milliseconds, with a focus on API response time and front-end rendering performance". The latter is long, but Codex gets the point right away. I especially like the "role-playing" approach, such as starting with "Let's assume you're a senior React developer", so that the Codex output code style will be more professional.

There is a particularly interesting discovery: adding "thinking step" requirements to the prompts works surprisingly well. For example, if you add "Please analyze the cause of the problem first, then give three possible solutions, and finally choose the best solution to implement", Codex will think step by step like a real human engineer. In one test, this structured hints increased the code correctness rate by 30%!

All those years of stepping on potholes

When I first started using Codex, I made my fair share of mistakes. The most typical one was to write the prompts as product requirement documents, which could easily be several hundred words. Later, I realized that more than 150 words would make Codex lose its focus. Now my experience is: keep the core instructions to 3 sentences, and list additional information in bullet points. Another lesson I learned is that I ignored contextual limitations. Once I asked Codex to "optimize the login logic", and it ended up rewriting the entire authentication module... Now I always specify the file paths and the scope of modification.

When it comes to specific optimization techniques, I found these particularly useful: 1) use "##" to separate different parts, Codex understands the Markdown format very well; 2) in the complex task before the addition of "let's step by step "; 3) when there are requirements for the output format, directly give an example. For example, recently I needed to generate API documentation, I put a Swagger format example in the prompt, Codex perfectly reproduced the same style.

The Golden Rule from the real world

After more than half a year of combat, I summed up the "3C rule" of prompt optimization: Clear, Concise, Contextual. The most successful case is to help a team to optimize the database query, which originally required 3 iterations to get satisfactory results, but the optimized cue word got it done in one go. The key is to write the table structure, the purpose of the query, the performance requirements are clear, but also attached a sample query statement.

Interestingly, cue word optimization is sometimes anti-common sense. For example, when creative solutions are needed, it's better to be appropriately vague. Once I wrote "implement it in the most elegant way you can think of" and Codex gave me a stunning application of the design pattern. This reminds us that rules are meant to be broken, and the key is to understand Codex's "way of thinking".

Lastly, here's a tip: Save your frequently used reminder templates. I've created a "reminder word library", categorized by task type, and now I'm much more efficient when working on new tasks. After all, a good reminder is like a precise navigational address - it gets you where you want to go faster.