Today I discovered an impressive collection of modern development tools and command-line utilities that represent significant improvements over traditional Unix tools, showcasing how modern languages like Rust are revolutionizing developer tooling.
HTTPie - Human-Friendly HTTP Client#
HTTPie positions itself as “HTTP for Humans” and dramatically simplifies API testing and HTTP requests:
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# Simple GET request
http GET https://api.github.com/users/stonecharioteer
# POST with JSON data
http POST https://httpbin.org/post name=John age:=30 active:=true
# Authentication
http GET https://api.github.com/user Authorization:"token YOUR_TOKEN"
# File uploads
http --form POST https://httpbin.org/post [email protected]
# Custom headers and cookies
http GET https://example.com X-Custom-Header:value Cookie:session=abc123
# Pretty-print JSON responses (default)
http GET https://api.github.com/repos/python/cpython | jq '.stargazers_count'
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π
HTTPie vs Curl Comparison
Curl: curl -X POST -H "Content-Type: application/json" -d '{"name":"John","age":30}' https://api.example.com/users
HTTPie: http POST https://api.example.com/users name=John age:=30
HTTPie’s syntax is more intuitive and requires less boilerplate for common operations.
FZF - Fuzzy Finder Revolution#
FZF transforms command-line history and file searching with fuzzy matching:
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# Install fzf
git clone --depth 1 https://github.com/junegunn/fzf.git ~/.fzf
~/.fzf/install
# Basic file search
fzf
# Search command history
history | fzf
# Search and edit files
vim $(find . -type f | fzf)
# Git integration
git log --oneline | fzf
# Process search and kill
ps aux | fzf | awk '{print $2}' | xargs kill
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Advanced FZF Integration#
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# Add to .bashrc or .zshrc for enhanced functionality
# Better cd with fuzzy search
cdf() {
local dir
dir=$(find ${1:-.} -path '*/\.*' -prune \
-o -type d -print 2> /dev/null | fzf +m) &&
cd "$dir"
}
# Fuzzy git branch checkout
fgb() {
local branches branch
branches=$(git branch -vv) &&
branch=$(echo "$branches" | fzf +m) &&
git checkout $(echo "$branch" | awk '{print $1}' | sed "s/.* //")
}
# Fuzzy kill process
fkill() {
local pid
pid=$(ps -ef | sed 1d | fzf -m | awk '{print $2}')
if [ "x$pid" != "x" ]; then
echo $pid | xargs kill -${1:-9}
fi
}
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π‘
FZF Productivity Boost
FZF integrates with:
- Shell history:
Ctrl+R
for fuzzy history search
- File navigation:
Ctrl+T
for file picker
- Directory jumping:
Alt+C
for directory picker
- Vim integration: Fuzzy file finding in editors
- Git workflows: Branch switching, log browsing
Bat - Enhanced Cat with Syntax Highlighting#
Bat provides beautiful syntax highlighting and Git integration:
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# Install bat
cargo install bat
# or
brew install bat
# Basic usage with syntax highlighting
bat main.py
# Show line numbers and git changes
bat --number --show-all src/app.rs
# Use as pager replacement
export PAGER="bat --plain --paging=always"
# Combine with other tools
curl -s https://raw.githubusercontent.com/rust-lang/rust/master/README.md | bat -l md
# Configuration file
bat --config-file
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Ripgrep - Grep on Steroids#
Ripgrep offers blazing-fast text search with intelligent defaults:
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# Basic search
rg "TODO"
# Case insensitive search
rg -i "error"
# Search in specific file types
rg "function" --type py
rg "impl" --type rust
# Search with context lines
rg "error" -C 3
# Regular expressions
rg "fn\s+\w+\(" --type rust
# Exclude directories
rg "pattern" --glob '!target/' --glob '!node_modules/'
# Replace mode (preview)
rg "old_function" --replace "new_function" --type py
# JSON output for scripting
rg "pattern" --json | jq '.data.lines.text'
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π
Ripgrep Performance
Ripgrep is significantly faster than grep, ack, or ag because:
- Parallelization: Uses multiple threads by default
- Optimized algorithms: Boyer-Moore string searching
- Smart filtering: Respects .gitignore and binary file detection
- Memory efficiency: Streaming search without loading entire files
Development Utilities and Automation#
Python HTTP Server#
The built-in Python HTTP server is perfect for quick local development:
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# Python 3 (current)
python -m http.server 8000
# Python 2 (legacy)
python -m SimpleHTTPServer 8000
# Serve specific directory
python -m http.server 8000 --directory /path/to/files
# Bind to specific interface
python -m http.server 8000 --bind 127.0.0.1
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This needs no additional dependencies and is available everywhere Python is installed.
Live-Server for Frontend Development#
Live-Server provides automatic browser refresh for static HTML development:
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# Install globally
npm install -g live-server
# Serve current directory with live reload
live-server
# Custom port and browser
live-server --port=3000 --browser=firefox
# Serve specific directory
live-server --root=./dist
# Proxy API requests
live-server --proxy=/api:http://localhost:3000
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Pre-commit Hooks Management#
Pre-commit standardizes and automates code quality checks:
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# .pre-commit-config.yaml
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.4.0
hooks:
- id: trailing-whitespace
- id: end-of-file-fixer
- id: check-yaml
- id: check-added-large-files
- repo: https://github.com/psf/black
rev: 22.10.0
hooks:
- id: black
language_version: python3
- repo: https://github.com/pycqa/flake8
rev: 5.0.4
hooks:
- id: flake8
- repo: https://github.com/pycqa/isort
rev: 5.10.1
hooks:
- id: isort
args: ["--profile", "black"]
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# Install and setup
pip install pre-commit
pre-commit install
# Run on all files
pre-commit run --all-files
# Update hook versions
pre-commit autoupdate
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Cookiecutter - Project Templating#
Cookiecutter uses Jinja2 templates to generate project scaffolding:
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# Install cookiecutter
pip install cookiecutter
# Create project from template
cookiecutter https://github.com/cookiecutter/cookiecutter-django
# Use local template
cookiecutter /path/to/my-template
# Create custom template structure
my-template/
βββ cookiecutter.json
βββ {{cookiecutter.project_name}}/
β βββ README.md
β βββ setup.py
β βββ {{cookiecutter.module_name}}/
β βββ __init__.py
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Template configuration:
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{
"project_name": "My Project",
"module_name": "{{ cookiecutter.project_name.lower().replace(' ', '_') }}",
"author_name": "Your Name",
"version": "0.1.0",
"license": ["MIT", "BSD", "GPL"]
}
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YouTube-DL enables downloading and converting media from numerous platforms:
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# Install
pip install youtube-dl
# Basic download
youtube-dl "https://www.youtube.com/watch?v=VIDEO_ID"
# Download audio only
youtube-dl -x --audio-format mp3 "URL"
# Download best quality
youtube-dl -f "best[height<=720]" "URL"
# Download playlist
youtube-dl -i "PLAYLIST_URL"
# Extract metadata
youtube-dl --get-title --get-duration "URL"
# Custom filename format
youtube-dl -o "%(uploader)s - %(title)s.%(ext)s" "URL"
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Code Analysis and Metrics#
CLOC - Count Lines of Code#
CLOC provides detailed code statistics:
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# Install
brew install cloc
# or
sudo apt install cloc
# Count lines in current directory
cloc .
# Specific languages
cloc --include-lang=Python,JavaScript .
# Exclude directories
cloc --exclude-dir=node_modules,target .
# Compare two codebases
cloc --diff version1/ version2/
# Output formats
cloc --json .
cloc --csv .
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Tokei - Modern Code Counter#
Tokei offers faster, more accurate line counting:
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# Install
cargo install tokei
# Basic usage
tokei
# Specific languages
tokei --languages rust,python
# Sort by lines
tokei --sort lines
# Output formats
tokei --output json
tokei --output yaml
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Modern Web Frameworks#
FastAPI - Async Flask Alternative#
FastAPI provides high-performance async Python web APIs:
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from fastapi import FastAPI, HTTPException, Depends
from pydantic import BaseModel
from typing import List, Optional
import asyncio
app = FastAPI(title="Modern API", version="1.0.0")
class User(BaseModel):
id: int
name: str
email: str
is_active: bool = True
class UserCreate(BaseModel):
name: str
email: str
# Async endpoint with automatic OpenAPI documentation
@app.get("/users/{user_id}", response_model=User)
async def get_user(user_id: int):
if user_id < 1:
raise HTTPException(status_code=404, detail="User not found")
# Simulate async database call
await asyncio.sleep(0.1)
return User(id=user_id, name="John Doe", email="[email protected]")
@app.post("/users/", response_model=User)
async def create_user(user: UserCreate):
# Auto-validation from Pydantic model
new_user = User(id=123, **user.dict())
return new_user
# Dependency injection
async def get_current_user() -> User:
return User(id=1, name="Current User", email="[email protected]")
@app.get("/me", response_model=User)
async def read_users_me(current_user: User = Depends(get_current_user)):
return current_user
# Run with: uvicorn main:app --reload
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π
FastAPI Benefits
- Automatic OpenAPI/Swagger docs at
/docs
- Type hints for automatic validation
- Async support for high concurrency
- Dependency injection system
- OAuth2 integration built-in
- WebSocket support for real-time features
- Background tasks for async processing
Go Web Frameworks#
Revel Framework#
Revel provides a full-stack web framework for Go:
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package controllers
import (
"github.com/revel/revel"
)
type App struct {
*revel.Controller
}
func (c App) Index() revel.Result {
return c.Render()
}
func (c App) Hello(myName string) revel.Result {
c.Viewargs["name"] = myName
return c.Render()
}
// Routes (conf/routes)
// GET / App.Index
// GET /hello/:myName App.Hello
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Bandit - Python Security Scanner#
Bandit identifies common security issues in Python code:
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# Install
pip install bandit
# Scan current directory
bandit -r .
# Skip test files
bandit -r . --skip B101
# Output formats
bandit -r . -f json
bandit -r . -f html -o security-report.html
# Configuration file
bandit -r . -c bandit.conf
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Responses - Mock HTTP Requests#
Responses enables safe mocking of HTTP requests in tests:
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import responses
import requests
@responses.activate
def test_api_call():
# Mock the API response
responses.add(
responses.GET,
"https://api.example.com/users/1",
json={"id": 1, "name": "John Doe"},
status=200
)
# Make the request
resp = requests.get("https://api.example.com/users/1")
# Test the response
assert resp.status_code == 200
assert resp.json()["name"] == "John Doe"
# Dynamic responses
@responses.activate
def test_dynamic_response():
def request_callback(request):
return (200, {}, '{"dynamic": "response"}')
responses.add_callback(
responses.GET,
"https://api.example.com/dynamic",
callback=request_callback
)
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Development Productivity Insights#
When choosing modern development tools, key factors include:
π‘
Tool Evaluation Framework
- Performance: Measurably faster than alternatives
- Ergonomics: Better default behavior and user experience
- Integration: Works well with existing workflows
- Maintenance: Actively maintained with good documentation
- Cross-platform: Consistent behavior across operating systems
- Community: Strong ecosystem and community support
Command-Line Productivity Multipliers#
The modern command-line tools demonstrate several important patterns:
- Intelligent Defaults: Tools like
rg
and bat
make smart assumptions
- Better Output: Syntax highlighting and structured display improve usability
- Performance Focus: Rust-based tools leverage systems programming for speed
- Integration-First: Designed to work with pipes, scripts, and other tools
- Configuration: Reasonable defaults with extensive customization options
Migration Strategy#
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# Create aliases for gradual adoption
alias cat='bat'
alias grep='rg'
alias find='fd' # fd is another excellent Rust-based find replacement
# Add to .bashrc/.zshrc
export PAGER="bat --plain --paging=always"
# Customize fzf key bindings
export FZF_DEFAULT_COMMAND='rg --files'
export FZF_CTRL_T_COMMAND="$FZF_DEFAULT_COMMAND"
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β οΈ
Migration Considerations
When adopting new tools:
- Script Compatibility: Some scripts may depend on specific output formats
- Team Alignment: Ensure team members can use the same tools
- Learning Curve: Budget time for learning new command syntax
- Fallback Plans: Keep traditional tools available for compatibility
This exploration of modern development tools showcases how thoughtful tool selection can dramatically improve developer productivity and code quality.
These modern development tools from my archive demonstrate the ongoing evolution of developer tooling, with languages like Rust enabling a new generation of fast, reliable, and user-friendly command-line utilities.