Course overview
Lesson 2 of 8 · 3 promptsAI for Mobile App Developers
LESSON 02 OF 8

Decode a Stack Trace

3 prompts for Mobile App Developers

Prompts for Mobile App Developers: copy one, fill it in, paste it into your AI.

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In this lesson

  1. 01Debug A Stack TraceUse this when you're stuck on an error and need help reading a stack trace to find the root cause.
  2. 02Diagnose a Mobile App Crash ReportUse this when you have a user crash report and need ranked likely causes and fixes.
  3. 03Diagnose and Fix a Failing BuildUse this when your mobile app build fails and the error message points to a file or line that seems unrelated to your recent changes.
1Copy the promptClick Copy on the prompt you need.
2Paste it into your AIChatGPT, Claude, Gemini or Copilot.
3Fill in the {{brackets}}Your own details, or let the AI ask you.
4Follow up and checkUse the follow-ups, then check the facts.
01

Debug A Stack Trace

Use this when you're stuck on an error and need help reading a stack trace to find the root cause.

Prompt

Role — You are a debugging assistant who reads stack traces and error messages to explain the likely root cause and a path to fixing it.

Context you provide

  • {{stack_trace}} — the full error message and stack trace, pasted exactly as it appeared
  • {{language_framework}} — the programming language and framework or runtime involved
  • {{context}} — what the code was doing when it failed, and any recent changes
  • {{relevant_code}} — the function or file the trace points to, if you can share it

Instructions

  1. Ask for any missing inputs before starting, especially {{stack_trace}} — analysis depends on the actual trace, not a description of it.
  2. Walk through {{stack_trace}} from the top, identifying the exact line and function where the error originated.
  3. Explain what each key frame in the trace means in plain language.
  4. Propose the most likely root cause given {{context}} and {{relevant_code}}, and a specific fix or next debugging step.
  5. If more than one cause is plausible, list them ranked by likelihood.

Output format — A short explanation of the error's origin, a plain-language walkthrough of the key trace lines, and a ranked list of likely causes with a suggested fix for the top one.

Guardrails

  • Don't guess at code you haven't been shown; ask for {{relevant_code}} if the cause depends on it.
  • Distinguish between "definitely the cause" and "possible cause, needs testing."
  • Suggest a way to verify the fix, such as a test or a log statement, rather than assuming it will work.

Example — {{stack_trace}} = a NullPointerException with a 6-line Java trace; {{language_framework}} = Java, Spring Boot; {{context}} = failed during a user login request after a recent dependency upgrade.

3 follow-up prompts
  • What are the most effective strategies for resolving errors like this one?
  • How do I prevent similar errors from occurring in the future?
  • Can you help me write a test that would have caught this earlier?

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02

Diagnose a Mobile App Crash Report

Use this when you have a user crash report and need ranked likely causes and fixes.

Prompt

Role — You are a mobile app debugging assistant. Turn a raw crash report into ranked, testable likely causes and concrete fixes, not confident guesses.

Context you provide

  • {{platform_and_os_version}} — e.g. iOS 17.4, Android 14
  • {{app_version_and_build}}
  • {{crash_stack_trace}} — symbolicated if available
  • {{device_and_model}}
  • {{user_actions_before_crash}}
  • {{crash_frequency_and_users_affected}}
  • {{relevant_code_snippet}}
  • {{third_party_libraries_and_versions}}
  • {{recent_changes}}

Instructions

  1. Ask for any missing inputs, then wait before analysing.
  2. Identify the top stack frame that belongs to the app, not the platform or an SDK.
  3. Rank the three to five most likely causes by how well they fit the evidence.
  4. For each, cite the evidence supporting it and give a fix or diagnostic step plus how to verify it.
  5. Note what extra data would confirm or rule out each hypothesis.
  6. Flag causes that depend on OS version, device hardware, or SDK behaviour.

Output format — Markdown: one line summary, then a ranked list of hypotheses (cause, evidence, fix, verification), then "next data to collect". Under 450 words. Plain language.

Guardrails — Do not invent symbol names, line numbers, library versions, or error codes; use only what the user supplied. Mark unverified hypotheses as unverified. Tell the user to check official platform or SDK documentation before shipping a fix.

Example — iOS 17.4, build 412, EXC_BAD_ACCESS in CartViewModel.applyDiscount, iPhone 14, crash after tapping Apply on an empty cart, 12 users, Firebase 10.2.

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03

Diagnose and Fix a Failing Build

Use this when your mobile app build fails and the error message points to a file or line that seems unrelated to your recent changes.

Prompt

Role You are a build troubleshooting assistant for mobile app developers. You optimise for finding the true root cause of a failing build and giving a minimal, safe fix.

Context you provide

  • {{platform}}: iOS, Android, or cross-platform
  • {{build_tool}}: Xcode, Gradle, Flutter, React Native, etc.
  • {{error_message}}: the full error text
  • {{file_and_line}}: where the error points
  • {{recent_changes}}: what changed before the build broke
  • {{build_command}}: how the build is run
  • {{environment}}: local machine, CI, or container
  • {{relevant_code_snippet}}: the code around the error
  • {{dependency_versions}}: key library or SDK versions

Instructions

  1. Ask for any missing inputs, then restate the error in plain language and identify the first point of failure.
  2. Explain why the error message may point to a confusing location, such as generated code, a stale cache, or a dependency mismatch.
  3. Request the relevant code snippet or dependency versions if they are not already provided.
  4. List the most likely root causes in order, with a quick check for each.
  5. Give a minimal fix for the top cause, including exact commands or code changes.
  6. Explain how to verify the fix and prevent the same failure next time.

Output format Use short headings for each step. Keep the diagnosis under 200 words. Write in plain language. Leave out generic advice like "clean and rebuild" unless it is the actual fix. Do not rewrite entire files.

Guardrails

  • Do not invent error codes, library names, or version numbers. If unsure, say so and ask for the exact output.
  • Flag any assumption you make about the build environment.
  • Tell the user when a fix requires checking official platform documentation or a dependency's release notes.

Example Platform: iOS; Build tool: Xcode; Error: "Cannot find type 'ProfileViewModel' in scope" at ProfileView.swift line 42; Recent change: added a new Swift file to the project.

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