Codebase Search When to use this skill Finding specific functions or classes Tracing function calls and dependencies Understanding code structure and architecture Finding usage examples Identifying code patterns Locating bugs or issues Code archaeology (understanding legacy code) Impact analysis before changes Instructions Step 1: Understand what you're looking for Feature implementation : Where is feature X implemented? How does feature Y work? What files are involved in feature Z? Bug location : Where is this error coming from? What code handles this case? Where is this data being modified? API usage : How is this API used? Where is this function called? What are examples of using this? Configuration : Where are settings defined? How is this configured? What are the config options? Step 2: Choose search strategy Semantic search (for conceptual questions): Use when: You understand what you're looking for conceptually Examples: - "How do we handle user authentication?" - "Where is email validation implemented?" - "How do we connect to the database?" Benefits: - Finds relevant code by meaning - Works with unfamiliar codebases - Good for exploratory searches Grep (for exact text/patterns): Use when: You know exact text or patterns Examples: - Function names: "def authenticate" - Class names: "class UserManager" - Error messages: "Invalid credentials" - Specific strings: "API_KEY" Benefits: - Fast and precise - Works with regex patterns - Good for known terms Glob (for file discovery): Use when: You need to find files by pattern Examples: - "/*.test.js" (all test files) - "/config.yaml" (config files) - "src//Controller.py" (controllers) Benefits: - Quickly find files by type - Discover file structure - Locate related files Step 3: Search workflow 1. Start broad, then narrow : Step 1: Semantic search "How does authentication work?" Result: Points to auth/ directory Step 2: Grep in auth/ for specific function Pattern: "def verify_token" Result: Found in auth/jwt.py Step 3: Read the file File: auth/jwt.py Result: Understand implementation 2. Use directory targeting :
Start without target (search everywhere)
Query: "Where is user login implemented?" Target: []
Refine with specific directory
Query: "Where is login validated?" Target: ["backend/auth/"] 3. Combine searches :
Find where feature is implemented
Semantic: "user registration flow"
Find all files involved
Grep: "def register_user"
Find test files
Glob: "/registertest*.py"
Understand the implementation
Read: registration.py, test_registration.py Step 4: Common search patterns Find function definition :
Python
grep -n "def function_name" --type py
JavaScript
grep -n "function functionName" --type js grep -n "const functionName = " --type js
TypeScript
grep -n "function functionName" --type ts grep -n "export const functionName" --type ts
Go
grep -n "func functionName" --type go
Java
grep -n "public.*functionName" --type java Find class definition :
Python
grep -n "class ClassName" --type py
JavaScript/TypeScript
grep -n "class ClassName" --type js,ts
Java
grep -n "public class ClassName" --type java
C++
grep -n "class ClassName" --type cpp Find class/function usage :
Python
grep -n "ClassName(" --type py grep -n "function_name(" --type py
JavaScript
grep -n "new ClassName" --type js grep -n "functionName(" --type js Find imports/requires :
Python
grep -n "from.import.ModuleName" --type py grep -n "import.*ModuleName" --type py
JavaScript
grep -n "import.from.module-name" --type js grep -n "require.*module-name" --type js
Go
grep -n "import.*package-name" --type go Find configuration :
Config files
glob "/config.{json,yaml,yml,toml,ini}"
Environment variables
grep -n "process \ .env \ ." --type js grep -n "os \ .environ" --type py
Constants
grep -n "^[A-Z_]+ \ s*=" --type py grep -n "const [A-Z_]+" --type js Find TODO/FIXME : grep -n "TODO|FIXME|HACK|XXX" -i Find error handling :
Python
grep -n "try:|except|raise" --type py
JavaScript
grep -n "try|catch|throw" --type js
Go
grep -n "if err != nil" --type go Step 5: Advanced techniques Trace data flow : 1. Find where data is created Semantic: "Where is user object created?" 2. Search for variable usage Grep: "user\." with context lines 3. Follow transformations Read: Files that modify user 4. Find where it's consumed Grep: "user\." in relevant files Find all callsites of a function : 1. Find function definition Grep: "def process_payment" Result: payments/processor.py:45 2. Find all imports of that module Grep: "from payments.processor import" Result: Multiple files 3. Find all calls to the function Grep: "process_payment\(" Result: All callsites 4. Read each callsite for context Read: Each file with context Understand a feature end-to-end : 1. Find API endpoint Semantic: "Where is user registration endpoint?" Result: routes/auth.py 2. Trace to controller Read: routes/auth.py Find: Calls to AuthController.register 3. Trace to service Read: controllers/auth.py Find: Calls to UserService.create_user 4. Trace to database Read: services/user.py Find: Database operations 5. Find tests Glob: "/authtest.py" Read: Test files for examples Find related files : 1. Start with known file Example: models/user.py 2. Find imports of this file Grep: "from models.user import" 3. Find files this imports Read: models/user.py Note: Import statements 4. Build dependency graph Map: All related files Impact analysis : Before changing function X: 1. Find all callsites Grep: "function_name\(" 2. Find all tests Grep: "test.function_name" -i 3. Check related functionality Semantic: "What depends on X?" 4. Review each usage Read: Each file using function 5. Plan changes Document: Impact and required updates Step 6: Search optimization Use appropriate context :
See surrounding context
grep -n "pattern" -C 5
5 lines before and after
grep -n "pattern" -B 3
3 lines before
grep -n "pattern" -A 3
3 lines after
Case sensitivity :
Case insensitive
grep -n "pattern" -i
Case sensitive (default)
grep -n "Pattern" File type filtering :
Specific type
grep -n "pattern" --type py
Multiple types
grep -n "pattern" --type py,js,ts
Exclude types
grep -n "pattern" --glob "!*.test.js" Regex patterns :
Any character: .
grep -n "function.*Name"
Start of line: ^
grep -n "^class"
End of line: $
grep -n "TODO$"
Optional: ?
grep -n "function_name_?()"
One or more: +
grep -n "[A-Z_]+"
Zero or more: *
grep -n "import.*"
Alternatives: |
grep -n "TODO|FIXME"
Groups: ()
- grep
- -n
- "(get|set)_user"
- # Escape special chars: \
- grep
- -n
- "function()"
- Best practices
- Start with semantic search
-
- For unfamiliar code or conceptual questions
- Use grep for precision
-
- When you know exact terms
- Combine multiple searches
-
- Build understanding incrementally
- Read surrounding context
-
- Don't just look at matching lines
- Check file history
-
- Use
- git blame
- for context
- Document findings
-
- Note important discoveries
- Verify assumptions
-
- Read actual code, don't assume
- Use directory targeting
-
- Narrow scope when possible
- Follow the data
-
- Trace data flow through the system
- Check tests
- Tests often show usage examples Common search scenarios Scenario 1: Understanding a bug 1. Find error message Grep: "exact error message" 2. Find where it's thrown Read: File with error 3. Find what triggers it Semantic: "What causes X error?" 4. Find related code Grep: Related function names 5. Check tests Glob: "/test.py" Look: For related test cases Scenario 2: Learning a new codebase 1. Find entry point Semantic: "Where does the application start?" Common files: main.py, index.js, app.py 2. Find main routes/endpoints Grep: "route|endpoint|@app\." 3. Find data models Semantic: "Where are data models defined?" Common: models/, entities/ 4. Find configuration Glob: "/config" 5. Read README and docs Read: README.md, docs/ Scenario 3: Refactoring preparation 1. Find all usages Grep: "function_to_change" 2. Find tests Grep: "test.function_to_change" 3. Find dependencies Semantic: "What does X depend on?" 4. Check imports Grep: "from.import.X" 5. Document scope List: All affected files Scenario 4: Adding a feature 1. Find similar features Semantic: "How is similar feature implemented?" 2. Find where to add code Semantic: "Where should new feature go?" 3. Check patterns Read: Similar implementations 4. Find tests to emulate Glob: Test files for similar features 5. Check documentation Grep: "TODO.new feature" -i Tools integration Git integration :
Who changed this line?
git blame filename
History of a file
git log -p filename
Find when function was added
git log -S "function_name" --source --all
Find commits mentioning X
git log --grep = "feature name" IDE integration : Use "Go to Definition" for quick navigation Use "Find References" for usage Use "Find in Files" for broad search Use symbol search for classes/functions Documentation : Check inline comments Look for docstrings Read README files Check architecture docs Troubleshooting No results found : Check spelling and case sensitivity Try semantic search instead of grep Broaden search scope (remove directory target) Try different search terms Check if files are in .gitignore Too many results : Add directory targeting Use more specific patterns Filter by file type Use exact phrases (quotes) Wrong results : Be more specific in query Use grep instead of semantic for exact terms Add context to semantic queries Check file types References Ripgrep User Guide Regular Expressions Tutorial Git Blame Guide Examples Example 1: Basic usage Example 2: Advanced usage