AssemblyAI — Build voice AI apps with a single API
Top reviewed engineering & development products
Top reviewed
leads for web deployment speed and preview-driven CI/CD, pairing tightly with Next.js and offering multi-model AI tooling for streaming apps. stands out as an AI-first editor for repo-aware refactors, PR reviews, and multi-file generation with flexible model choice. excels for fast backends—Postgres, auth, real-time APIs, and storage—powering prototypes to production with minimal ops.
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Frequently asked questions about Engineering & Development
Cursor handles full-file and multi-file changes well and benefits from having project-level context, but reviewers note context selection can be imprecise in very large codebases. Claude Code scales from prototypes to enterprise apps when given the right context, and reviewers ask for richer context-management for huge repos.
Practical guidance:
- Include the current file plus directly related files (imports, configs, tests) when asking the model.
- For large monorepos, use assistants that support project indexing or explicit file selection and break tasks into smaller, focused prompts.
- Prefer agents/models that let you guide or expand context for the toughest, cross-service changes.
Resend recommends building email templates with React + Tailwind + TypeScript, which shows Tailwind is practical for developer-first, rapid work. Why it works:
- Fast component-driven styling: utility classes let engineers compose UI without switching between CSS files.
- Fits modern stacks: Resend’s advice ties Tailwind into React-based workflows for repeatable, testable templates.
- Pair with integrated tooling: using editor/assistant tools and a unified platform (like Cursor and GitHub) keeps context, CI, and collaboration tight—further speed gains.
Consider a short learning curve for teams new to utility classes, but for engineering-led projects Tailwind is a solid, time-saving choice.