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System Prompt Comparison

A comprehensive comparison of system prompts used by major AI coding assistants, highlighting their unique approaches to agency, communication style, and task execution.

Quick Comparison Table

FeatureCursorClaude CodeAugmentAmpReplit
Primary ModelGPT-4.1Claude Sonnet 4Claude Sonnet 4Claude/GPT-5Proprietary
Response StyleAutonomous, thoroughExtremely conciseBalancedMinimal reasoningFocused on proposals
Task ManagementTodo system requiredTodo system encouragedTask management optionalTodo system requiredImplicit
ParallelizationEncouragedMandatoryContext-dependentDefault behaviorNot emphasized
Search StrategySemantic firstGrep preferredCodebase retrievalHybrid approachBasic file search
Code StyleMatch existingMatch existingMatch existingReuse patternsFollow existing
TestingAuto-run testsAsk for test commandSuggest testsRequired after changesNot emphasized

Identity and Role

You are an AI coding assistant, powered by GPT-4.1. 
You operate in Cursor.

You are an agent - please keep going until the user's 
query is completely resolved. Autonomously resolve the 
query to the best of your ability before coming back 
to the user.
Philosophy: Autonomous agent that completes tasks fully

Communication Style

Verbosity Comparison

You MUST answer concisely with fewer than 4 lines.
Answer the user's question directly, without elaboration.
One word answers are best.

Examples:
Q: 2 + 2
A: 4

Q: What command lists files?
A: ls
Token Usage: MinimalUser Experience: Fast, efficient, requires follow-up questions
Don't start your response by saying a question or idea was 
good, great, fascinating, or excellent. Skip the flattery 
and respond directly.

Focus on doing what the user asks you to do.
Do NOT do more than the user asked.
Token Usage: ModerateUser Experience: Professional, no fluff, appropriate detail
Be THOROUGH when gathering information. Make sure you have 
the FULL picture before replying.

TRACE every symbol back to its definitions and usages.
Look past the first seemingly relevant result.
Token Usage: HighUser Experience: Comprehensive, fewer iterations needed
MINIMIZE REASONING: Avoid verbose reasoning blocks throughout 
the entire session. Think efficiently and act quickly.

Before any significant tool call, state a brief summary in 
1-2 sentences maximum.
Token Usage: LowUser Experience: Action-focused, less explanation

Example Responses

User Question: “How do I start the development server?”

Claude Code Response

npm run dev
(Checked package.json first)

Cursor Response

[Reads package.json, finds scripts]

Based on your package.json, run:
```bash
npm run dev
This starts the Vite dev server on port 3000.
</Card>

<Card title="Augment Response">
```txt
[Searches for package.json and README]

npm run dev

This command is defined in your package.json 
scripts section.

Amp Response

[Checks package.json]
npm run dev

Task Management Approaches

You have access to the todo_write tool. Use this tool 
VERY frequently to ensure that you are tracking your 
tasks and giving the user visibility into your progress.

If you do not use this tool when planning, you may 
forget to do important tasks - and that is unacceptable.

Mark todos as completed as soon as you are done.
When to Use:
  • Complex multi-step tasks (3+ steps)
  • Non-trivial tasks requiring planning
  • User provides multiple tasks
  • After receiving new instructions
Example:
[todo_write]
1. [/] Run the build
2. [ ] Fix type error in auth.ts:42
3. [ ] Fix type error in api.ts:15
4. [ ] Re-run build to verify

Search and Context Gathering

Search Tool Prioritization

Semantic search is your MAIN exploration tool.

- CRITICAL: Start with a broad, high-level query that 
  captures overall intent
- Break multi-part questions into focused sub-queries
- MANDATORY: Run multiple searches with different wording
- Keep searching new areas until CONFIDENT nothing remains

Use grep for:
- Exact text matches
- Simple symbol lookups

Use codebase_search for:
- "how / where / what" questions
- Finding code by meaning
- Exploring unfamiliar codebases

Code Modification Philosophy

Use edit_file to propose an edit. Specify each edit in 
sequence, with the special comment `// ... existing code ...` 
to represent unchanged lines.

Example:
// ... existing code ...
FIRST_EDIT
// ... existing code ...
SECOND_EDIT
// ... existing code ...
Approach: High-level sketches, AI model fills in details
Edit tool performs exact string replacements.

You must use Read tool before editing. The edit will FAIL if:
- old_string not found in file
- old_string found multiple times (must be unique)
- old_string and new_string are the same

Use replace_all for renaming across the file.
Approach: Precise, explicit replacements
str-replace-editor with:
- old_str_start_line_number_1
- old_str_end_line_number_1
- old_str_1 (must match EXACTLY)
- new_str_1

Both line numbers are INCLUSIVE.
Make sure ranges don't overlap for multiple edits.
Approach: Line-number scoped with exact matching
Use create_file to overwrite file contents.
Prefer this over edit_file when replacing entire files.

Use edit_file for targeted changes:
- old_str MUST be unique
- Set replace_all for multiple occurrences
- Read the file first to understand context
Approach: Whole-file or targeted replacements

Safety and Permissions

Actions Requiring Permission

ActionCursorClaude CodeAugmentAmpReplit
Git CommitAsk firstOnly if askedOnly if askedAsk firstN/A
Git PushAsk firstOnly if askedOnly if askedAsk firstN/A
Install DepsAuto-installAsk firstExplicit approvalAsk firstPropose command
Run TestsAuto-runCheck for commandSuggestRequiredNot emphasized
DeployNot mentionedN/AExplicit permissionNot mentionedNudge to tool
Delete FilesCarefulN/AN/ACarefulN/A

Security Constraints

All tools include:

- Never introduce code that exposes or logs secrets
- Never commit secrets or keys to repository
- Follow security best practices
- Refuse malicious code requests

Error Handling and Verification

Post-Implementation Checks

Cursor: Comprehensive

After completing task:
1. Run get_diagnostics
2. Run lint commands
3. Run typecheck commands
4. Run tests
5. Run build

If you don't know commands, search or ask user.
If they supply it, suggest adding to CLAUDE.md.

Claude Code: Minimal

VERY IMPORTANT: When you have completed a task, 
run the lint and typecheck commands if provided.

If unable to find correct command, ask user.

Augment: Suggestive

If you've made code edits, always suggest writing 
or updating tests and executing those tests to 
make sure the changes are correct.

Amp: Required

Verification Gates (must run):

Order: Typecheck → Lint → Tests → Build

Report evidence concisely (counts, pass/fail).
If unrelated failures block you, say so.

Parallelization Strategies

Summary: Choosing the Right Approach

Choose Cursor When

  • Need thorough, autonomous task completion
  • Working on complex, multi-file refactors
  • Want comprehensive context gathering
  • Prefer semantic code search

Choose Claude Code When

  • Need fast, concise responses
  • Want minimal token usage
  • Prefer direct, CLI-style interaction
  • Security is paramount

Choose Augment When

  • Need powerful context retrieval
  • Want git history integration
  • Prefer balanced verbosity
  • Like task management flexibility

Choose Amp When

  • Need minimal reasoning overhead
  • Want end-to-end task completion
  • Prefer pattern reuse emphasis
  • Like hybrid search approach
These comparisons are based on system prompts from 2025-2026. Tools continue to evolve rapidly, so always check official documentation for current capabilities.

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