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Santan Sharma
Santan Sharma

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Why Most Developers Get Bad AI Output (And How I Fixed It in VS Code)

Introduction

AI tools like ChatGPT and Claude are incredibly powerful — yet many developers still get disappointing results.

The problem isn’t the model.

It’s the prompt.

Unclear, rushed, and poorly structured prompts force the AI to guess, which leads to vague or incorrect output. After running into this problem repeatedly in my own workflow, I built PromptLint.


The Real Problem: Bad Prompts

Most prompts look like this:

  • There’s no context.
  • No constraints.
  • No clear expectations.

The AI has to fill in the gaps — and guessing is exactly why the output falls apart.


The Solution: PromptLint

PromptLint is a VS Code extension that refactors rough prompts into clear, structured, professional instructions.

It automatically introduces:

  • Clear roles
  • Explicit tasks
  • Defined requirements
  • Constraints and edge cases
  • Expected output format

The result is dramatically better AI responses — without switching models or tools.


How It Works

PromptLint integrates directly into VS Code:

  • Refactor selected text via right-click
  • Use the interactive Prompt Editor panel
  • Choose output options:
    • Replace selection
    • Open in a new tab
    • Copy to clipboard
  • Works with OpenAI, Claude, and other compatible APIs

No workflow disruption.

No extra tools to learn.


Example

Before

write code for login

After

A fully structured prompt with a defined role, clear requirements, constraints, and output expectations — producing significantly better results.

Same AI. Better input. Better output.


Who Should Use PromptLint

PromptLint is built for:

  • Developers who use ChatGPT or Claude daily
  • Engineers writing technical or system-level prompts
  • Anyone tired of re-prompting AI to “fix” bad answers

If you use AI seriously, prompt quality is not optional.


Final Thoughts

AI isn’t replacing developers.

Developers who use AI effectively will replace those who don’t.

PromptLint exists to make that advantage automatic.

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