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Using AI for Coding: My Journey with Cline and LLMs
How I leveraged AI tools like Cline to enhance the UI/UX of a website and streamline backend tasks. From redesigning pages and translating content to navigating the benefits and challenges of AI-assisted development, this blog post highlights the potential of using large language models to boost productivity while sharing key lessons learned.
Claude Sonnet 3.5: Performance: Exceptional response speed Accuracy: Deep understanding of web technologies (HTML, CSS, JavaScript) Effectiveness: Made intelligent framework suggestions (Font Awesome, Bootstrap) that enhanced both aesthetics and functionality Limitations: Context window restrictions often interrupted complex tasks The service needed to support multiple Amazon Affiliate regions: AU, BR, CA, EG, FR, DE, IN, IT, JP, MX, NL, PL, SG, SA, ES, SE, TR, AE, UK, and US. Identified language requirements based on filename codes Preserved technical elements (markdown, variables, formatting) Maintained consistency across translations Skipped already-translated content
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