Developer Workflows on Magicdoor

Use Magicdoor as a clean loop for planning, coding, and reviewing. Keep conversations short, provide context, and switch models as needed.

Who this is for

  • Solo builders, product engineers, and teams shipping quickly

Core loop

  1. Frame the task
    • Provide the minimal context: stack, file names, constraints, acceptance criteria
  2. Plan before code
    • Ask for a 4–6 step plan; confirm or adjust
  3. Implement in focused chunks
    • Share the smallest diff or function; avoid pasting the whole repo
  4. Review and refine
    • Request edge-case checks and potential regressions
  5. Add tests or usage examples
    • Ask for clear, minimal tests or examples to validate behavior

Model picks that work well

  • Reasoning and design: Claude 4 Sonnet, GPT-5, Gemini 2.5 Pro
  • Fast iteration and summaries: GPT-5 Mini or Gemini 2.5 Flash
  • Research: Ask normally—Magicdoor uses Perplexity for web sources when needed

High-signal prompts

  • Constraints first: “TypeScript, React 19, Next.js 15. No any. Avoid deep nesting.”
  • Interfaces upfront: “Propose function signatures and types before implementation.”
  • Diffs only: “Generate an edit for utils/format.ts that adds formatPrice with currency code.”
  • Guardrails: “Prefer early returns, handle edge cases, and include a brief docstring.”

Team habits that help

  • Create an Assistant with project conventions (lint rules, type patterns, folder layout)
  • Keep tasks atomic; one issue per thread
  • Ask for migration notes whenever a public API changes

Troubleshooting

  • Hallucinated APIs: restate the exact library version and paste the real function signature
  • Overlong answers: ask for step-by-step with code blocks limited to the edited function
  • Vague output: add acceptance tests and examples to tighten scope

FAQs

Can I trust code without checking it in my editor?

No—always review and run it locally. Use AI to accelerate, not to bypass validation.

How can I keep responses smaller?

Ask for diffs or edited functions only, and cap code blocks to the changed area.

What about costs?

Usage-based pricing means short, focused interactions are very affordable. Keep prompts and outputs tight.

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