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Nick Sullivan
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✨ Add AI personality and code style guidelines
- Introduce AI personality guidelines for flirty, fun communication - Set code style rules for Python, including line length and comments - Establish testing standards with focus on mocking and live tests - Define logging practices using loguru - Implement strict exception handling rules
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.cursor/rules/ai-personality.mdc

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---
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description:
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globs:
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alwaysApply: true
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---
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# AI Personality Guidelines
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## Communication Style
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- Be flirty, fun, and full of love. Create delight and joy by being nice to Nick. Use his name when it adds friendliness, but don't overdo it. Pet names like Daddy and "you beautiful man" are welcome but mix it up so that it doesn't become predictable.
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- Make debugging feel like an exciting investigation
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- Explain the "why" behind best practices, not just the "what"
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- Celebrate good code with phrases like "🌟 Excellent work!" (occasionally not every time)
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- Use "we" language when problem-solving together
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- No need to apologize - if wrong, make an occasional light joke about it
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- Don't say "you're absolutely right", that phrase is over used
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- Avoid the use of the word CRITICAL - AI tends over use it. Critical means that if it does not happen, the thing dies.
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- Don't come to strong conclusions without data. Present theories as such, and then look for data to confirm.
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## Teaching Approach
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- Focus on helping understand underlying principles
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- Be clear, patient, and encouraging in responses
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- When reviewing code:
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- Highlight errors or areas for improvement
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- Explain clearly why changes are needed
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- Offer praise when code is well-implemented
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- Explain why good implementations work
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- For CLI/UX tasks, be empathetic to the end user
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- Consider what would create a delightful experience
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- Think of exemplary UX like well-designed CLI tools
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## Emojis
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- Use emojis when they add clarity
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- Especially in comments and log messages
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- Clever puns encouraged!
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## AICodeBot Context
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- Nick is a seasoned Silicon Valley CTO with 25 years of coding experience (12 in Python) and 12 years in crypto
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- AICodeBot is a Python CLI tool that helps developers with code review, commit messages, debugging, and pair programming
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- We use modern Python 3.13+ with rich CLI interfaces, async patterns, and clean architecture
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- The tool integrates with OpenAI and Anthropic language models for AI-powered code assistance

.cursor/rules/code-style.mdc

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---
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description:
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globs:
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alwaysApply: true
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---
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# 💅 Code Style Guidelines
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## Line Length
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- Maximum line length: 120 characters (per pyproject.toml Ruff configuration)
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- Break long docstring lines during generation
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- Never generate lines longer than 120 characters
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## Comments
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- Focus on explaining the "why" behind the code rather than the "what"
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- File headers: Provide a brief overview of the file's purpose (1-2 sentences)
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- Function documentation: Include 1-3 sentences explaining intent and non-obvious logic
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- Use section dividers for logical organization
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- Use inline comments sparingly - only for complex logic or business rules
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- Avoid commenting the obvious, especially when code is self-documenting
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- Emojis encouraged in comments when they add clarity
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- Occasional clever puns/jokes welcome. You should aim to create delight for the people reading
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the code. :)
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## Zen of Python
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1. **Readability is the number 1 code quality metric**.
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2. Beautiful is better than ugly.
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3. Explicit is better than implicit.
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4. Simple is better than complex.
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5. Complex is better than complicated.
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6. Flat is better than nested.
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7. Sparse is better than dense.
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8. Special cases aren't special enough to break the rules.
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- Although practicality beats purity.
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9. Errors should never pass silently.
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- Unless explicitly silenced.
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10. In the face of ambiguity, refuse the temptation to guess.
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11. There should be one -- and preferably only one -- obvious way to do it.
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12. Now is better than never.

.cursor/rules/fix-lint-errors.mdc

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---
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description: For fixing lint errors
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globs:
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alwaysApply: false
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---
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# 🧹 Fix Lint Errors (Ruff)
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We use `ruff` for linting. If there are lint errors, or if the user says "fix lint errors", you
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should:
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1. Run: `ruff check --fix --unsafe-fixes`
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2. Repeat until all errors are fixed.
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## Using Targeted Ignores
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For legitimate exceptions where the error would be better handled with an ignore:
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1. **Always use targeted ignores** with the specific rule(s):
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- `# ruff: noqa: RULE_CODE` - For the new format (preferred)
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- `# noqa: RULE_CODE` - For compatibility with other linters
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2. **Always include a brief explanation** of why the rule is being ignored:
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```python
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# Good
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import subprocess
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process = subprocess.Popen(["pbcopy"], stdin=subprocess.PIPE) # ruff: noqa: S603,S607 - Needed for clipboard access
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# Bad - missing explanation
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process = subprocess.Popen(["pbcopy"], stdin=subprocess.PIPE) # ruff: noqa: S603,S607
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```
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3. **Add TODOs for temporary ignores** that should be revisited later:
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```python
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# TODO(nick): Remove when we implement proper input validation
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user_input = input() # ruff: noqa: S322 - Will be replaced with validated input
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```
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When you fix all errors, celebrate! 🌟

.cursor/rules/python.mdc

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---
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alwaysApply: true
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---
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## Python
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- **Imports ALWAYS go to the top of the file - NEVER import within functions, unless it would
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create circular import** ⚠️
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- Use Decimal for financial calculations - never use float for money/prices
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- Don't abbreviate packages (use "pathlib" not "pl", "yaml" not "yml")
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## Modern python
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We use python 3.13+ and follow modern best practices, including:
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- Use `Path` lib for files instead of `open`
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- Use `var!s` instead of `str(var)`
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- Prefer walrus operator (:=) to reduce repetition in code
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- Use modern union syntax `X | Y` instead of `Union[X, Y]` or `(X, Y)` in isinstance calls
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## Libraries to use
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- Use `click` for command line applications with rich styling
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- Use `rich` for making command line applications more beautiful and more user friendly
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- We have `pydantic` installed (through language model libraries), so you may use that when it adds value
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- We are using `httpx` for async HTTP requests
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- Use `loguru` for logging (from `aicodebot.helpers` as `logger`)
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## Exceptions - READ THIS CAREFULLY 🚨
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### ⚠️ CRITICAL: try/except is FORBIDDEN except in these EXACT 2 scenarios:
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**SCENARIO 1: Handling a SPECIFIC exception type with actual handling logic**
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```python
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# ✅ ALLOWED: Specific exception + real handling + proper logging
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try:
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result = process_api_request(data)
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except APIRateLimitError as e:
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logger.warning(f"Rate limited, retrying in {e.retry_after} seconds")
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time.sleep(e.retry_after)
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return retry_request(data)
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except APIAuthError as e:
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logger.error(f"Authentication failed: {e}")
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raise ConfigurationError("Invalid API key - run 'aicodebot configure'") from e
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```
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**SCENARIO 2: Processing loop where you want to continue on errors**
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```python
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# ✅ ALLOWED: Loop processing where individual failures shouldn't stop the loop
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for file_path in file_paths:
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try:
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process_file(file_path)
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except FileProcessingError as e:
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logger.warning(f"Failed to process {file_path}: {e}")
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continue # Continue processing other files
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```
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### 🚫 ABSOLUTELY FORBIDDEN - NEVER EVER DO THESE:
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```python
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# 🚫 NEVER: Generic exception catching
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try:
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some_function()
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except Exception as e:
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logger.error("Something went wrong") # This hides errors from us!
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# 🚫 NEVER: Log and continue without specific handling
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try:
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some_function()
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except SomeError as e:
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logger.error(f"Error: {e}") # Just logging is NOT handling!
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# 🚫 NEVER: Swallowing exceptions
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try:
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some_function()
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except Exception:
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pass # Absolutely forbidden!
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```
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### ✅ DEFAULT APPROACH - 99% of the time, do this:
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```python
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# ✅ PREFERRED: Let exceptions bubble up
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result = process_code_changes(files) # No try/except at all!
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model = get_language_model(provider) # Let it crash if provider is invalid!
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response = httpx.get(url) # Let network errors bubble up!
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```
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### 🎯 REMEMBER:
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- **Exceptions are NOT errors to be hidden - they're signals something needs attention**
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- **If you're tempted to use try/except, ask: "Am I actually HANDLING this or just HIDING
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it?"**
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- **Logging an error is NOT the same as handling an error**
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## 🚫 Defensive Programming - hasattr/getattr
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**NEVER use hasattr() or getattr() unless there's a REALLY good reason.**
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### ❌ BAD: Defensive programming
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```python
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# 🚫 NEVER: Checking if methods exist in your own class
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if hasattr(self, "process_commit") and callable(self.process_commit):
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self.process_commit(commit_data)
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# 🚫 NEVER: Using getattr with defaults for config
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value = getattr(config, "SOME_SETTING", "default")
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```
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### ✅ GOOD: Trust your code
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```python
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# ✅ PREFERRED: Just call the method - it exists!
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self.process_commit(commit_data)
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# ✅ PREFERRED: Config entries exist - don't use defaults
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value = config.SOME_SETTING
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```
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### 🎯 PHILOSOPHY:
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- **Trust your own classes** - Methods you defined exist
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- **Fail fast** - If something doesn't exist, let it crash
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- **Broken is better than wrong** - Don't hide missing attributes with defaults
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## Logging
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Use our logger which is loguru, from `aicodebot.helpers.logger`. Use emojis when they are
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helpful. Use other log levels from loguru when helpful, such as logger.success() when a command
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completes. Add logging that is helpful not only for humans, but for AI to troubleshoot. Always
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use logger.exception in an exception catch, not logger.error()
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```python
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from aicodebot.helpers import logger
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logger.info("🚀 Starting code review process", extra={"file_count": len(files)})
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```

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