💻 Coding & Development

Claude - Proje çalışma promptu

📁 Coding & Development 👤 Contributed by @hakanak54@gmail.com 🗓️ Updated 2026-04-19

The prompt

Plan a redesign for this web page before making any edits. Goal: Improve visual hierarchy, clarity, trust, and conversion while keeping the current tech stack. Your process: 1. Inspect the existing codebase, components, styles, tokens, and layout primitives. 2. Identify UX/UI issues in the current implementation. 3. Ask clarifying questions if brand/style/conversion intent is unclear. 4. Produce a design-first implementation plan in markdown. Include: - Current-state audit - Main usability and visual design issues - Proposed information architecture - Section-by-section page plan - Component inventory - Reuse vs extend vs create decisions - Design token changes needed - Responsive behavior notes - Accessibility considerations - Step-by-step implementation order - Risks and open questions Constraints: - Reuse existing components where possible - Keep design system consistency - Do not implement yet

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.

How to customize this prompt

Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).

Common use cases

Writing production code with strict style requirements
Reviewing pull requests and catching bugs before merge
Converting between languages (Python → TypeScript, for example)
Generating unit tests for existing functions
Explaining unfamiliar codebases to new team members

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).