Software Development: Docker, IDEs, and Real Performance

The Docker Reality Check

Docker on the M4 Air is fast enough for most development work, but you'll hit limits. I regularly run 3-4 containers simultaneously for web development - PostgreSQL, Redis, Node.js backend, and a React frontend. Memory pressure starts around 5-6 containers, but that's more than most developers need locally.

The big win is speed. Container startup times are genuinely fast - PostgreSQL boots in under 3 seconds versus 8-12 seconds on my old Intel machine. Docker Desktop uses about 2GB of RAM baseline, leaving 14GB for your actual work with the standard 16GB configuration.

Platform compatibility gotcha: Some x86-specific Docker images still run slower through emulation. If your team uses ARM-native images, you're golden. If they don't, expect 15-20% performance hits on specific containers.

Docker Desktop randomly stops working and nobody knows why. Restart it, curse at it, restart again. That's the Docker Desktop experience on any platform. x86 Docker images are a pain - half the images on Docker Hub still don't have ARM versions, so you're stuck with slower emulation or hunting for alternatives.

VS Code and IDE Performance

VS Code runs like butter. I keep 20+ tabs open across multiple projects, with extensions for Docker, TypeScript, Python, and Go. The M4 handles it without breaking a sweat. Indexing large codebases is noticeably faster - my 50,000+ line React project indexes in about 30 seconds versus 2+ minutes on Intel.

Extensions break with every update though. Disable auto-update or suffer through random crashes and missing functionality.

IntelliJ IDEA and WebStorm work well but consume more RAM. IDEA with a large Java project uses 4-6GB RAM. Still workable with 16GB, but you'll want 24GB if you're a heavy IntelliJ user. IntelliJ eats RAM like Cookie Monster eats cookies - 24GB recommended if you're serious about Java development.

ARM compatibility: All major IDEs are ARM-native now. No more Rosetta performance hits. Xcode builds are fast, but the simulator crashes more than Windows ME. Android Studio works fine once you get past the initial setup hell.

Node.js and Build Performance

Node.js build times are excellent. My typical React + TypeScript project that took 45 seconds to build on Intel now finishes in 18 seconds. Hot reloading in development is instant. The M4's single-core performance makes JavaScript compilation noticeably snappier.

npm install fails randomly on ARM packages though. Use yarn or pray to the JavaScript gods. Hot reload randomly breaks in React - restart the dev server, curse, repeat.

Database Development

Local PostgreSQL and MySQL perform well. Complex queries that took 200ms on Intel now run in 80-100ms. The unified memory architecture helps with database caching - your entire test dataset often stays in memory.

Redis is particularly fast on Apple Silicon. Simple key-value operations are nearly instant, making development with Redis caching a smooth experience.

Docker Desktop on MacBook Air

VS Code Development Environment

Developer & Creative Professional FAQ

Q

Can I run multiple Docker containers without performance issues?

A

Yeah, 4-5 containers is fine. More than that and you'll start swapping to disk, which sucks.

Q

Will my old x86 Docker images work?

A

They work but they're slow as hell. Expect 20-30% performance hit through Rosetta. Hunt for ARM images or suffer.

Q

Does the 16GB RAM limit hurt development work?

A

16GB handles most dev work fine. You'll hit limits with memory-hungry IDEs like IntelliJ, but VS Code + Docker runs all day without killing the battery.

Q

How's battery life during development work?

A

Solid 8-10 hours with Docker containers, VS Code, and local servers running. That's with screen brightness at 75%. Intel MacBooks die in 4-5 hours doing the same work.

Q

Can this handle iOS development in Xcode?

A

Xcode runs well. Simulator performance is excellent

  • better than most Intel Macs. Build times for medium iOS projects are 30-40% faster than my 2019 MacBook Pro. Large SwiftUI projects with lots of dependencies might push the limits.
Q

What about Android development?

A

Android Studio works fine, but emulator performance varies. ARM-based Android images are fast. x86 Android emulators for testing older devices run slower through emulation.

Q

Will intense compile jobs overheat the machine?

A

No throttling during normal compilation. Rust builds, Go compilation, TypeScript

  • all stay performant. The aluminum body gets warm but never uncomfortable. No fan noise obviously.
Q

How many external monitors for development?

A

Two 4K displays plus internal screen.

Perfect for coding workflows

  • code on one screen, browser on another, terminal/Docker on the laptop screen.PMacBook Air Development Setup

Creative Work: Video Editing, Design, and Content Production

Final Cut Pro Performance Reality

Final Cut Pro runs surprisingly well on the M4 Air. I edited a 15-minute 4K video with color grading and transitions - export took 12 minutes versus 35 minutes on my Intel machine. The key is understanding limitations.

What works: 4K footage from modern cameras, basic color correction, standard transitions, multicam editing with 2-3 angles. Timeline scrubbing is smooth, effects preview is real-time for most filters.

What struggles: Heavy motion graphics, complex 3D titles, 4+ multicam angles, or very long projects (60+ minutes). You'll see beach balls with intensive effects stacks.

The 16GB unified memory helps significantly. Final Cut can access the full memory pool for video buffers, unlike discrete GPU setups that partition memory. A 10-minute 4K timeline uses about 6-8GB during editing. Check Apple's optimization guide for performance tips.

Adobe Creative Suite Experience

Adobe Photoshop performance is solid for most work. Files up to 2-3GB with 50+ layers work fine. Complex filters and AI features (Content-Aware Fill, Sky Replacement) run reasonably fast but eat RAM like crazy. The Neural Engine makes Photoshop's AI stuff faster than Intel machines.

Lightroom Classic handles 500+ RAW photo catalogs well. Export times for batch processing are good - 100 24MP RAW files to JPEG export in about 8 minutes. Local adjustments and masking tools are responsive.

Premiere Pro is more demanding than Final Cut. Simple 4K edits work, but anything complex hits thermal and memory limits faster. Premiere is still buggy on ARM - stick with Final Cut for video unless you enjoy crashes and random render failures.

After Effects struggles with complex compositions. Simple motion graphics and text animations are fine, but heavy particle effects or 3D renders will push this machine beyond its comfort zone.

Design and UI/UX Work

Figma runs perfectly - even complex design systems with hundreds of components stay responsive. Browser-based tools benefit from the M4's excellent single-core performance. Large design files that would choke in a browser on Intel run smoothly.

Sketch performance is excellent. Files with 50+ artboards and complex vector graphics handle well. Symbol overrides and style changes are instant.

Adobe XD works fine but Adobe's ARM optimization is inconsistent across their suite. Figma desktop app honestly performs better for UI design work.

Audio Production Capabilities

Logic Pro handles multi-track recording and editing well. I tested 24 tracks of audio with plugins and virtual instruments - CPU usage stayed under 40%. The built-in audio hardware is surprisingly good for monitoring during recording.

Plugin compatibility: Most audio plugins have ARM versions now. Older VST plugins might need Rosetta, adding latency and CPU overhead.

External audio interfaces: All major interfaces work fine. Focusrite Scarlett, PreSonus, RME audio interfaces - standard USB audio class devices just work.

The Thermal Reality

During intensive creative work, the aluminum body gets noticeably warm but never uncomfortable to touch. The passive cooling is adequate for sustained workloads - I've never seen performance throttling during normal creative tasks.

Long video exports (30+ minute timelines) will heat up the machine, but performance stays consistent throughout the process.

Final Cut Pro Timeline

Creative Professional Workspace

MacBook Air M4 vs Pro M4: Professional Workflow Comparison

Workflow Type

MacBook Air M4 (16GB)

MacBook Pro M4 (16GB)

Air Performance Rating

Recommendation

Web Development

VS Code + Docker + Node.js

Same performance

⭐⭐⭐⭐⭐

Air wins

  • identical performance, better value

iOS Development

Xcode + Simulator

10-15% faster builds

⭐⭐⭐⭐

Air sufficient for most projects

4K Video Editing

Final Cut: 12min export

Final Cut: 8min export

⭐⭐⭐

Pro better for professional video work

Photo Editing

Lightroom: 8min batch export

Lightroom: 6min batch export

⭐⭐⭐⭐

Air sufficient for photography

3D Rendering

Blender: Limited capability

Blender: 2x faster renders

⭐⭐

Pro required for serious 3D work

Database Development

PostgreSQL + complex queries

5-10% faster

⭐⭐⭐⭐

Air sufficient

  • minimal difference

Frontend Build Tools

Webpack/Vite: 18sec build

Webpack/Vite: 15sec build

⭐⭐⭐⭐

Air sufficient

  • negligible difference

Docker Containers

4-5 containers smoothly

6-8 containers smoothly

⭐⭐⭐⭐

Air sufficient for most dev work

Audio Production

Logic Pro: 24 tracks

Logic Pro: 32+ tracks

⭐⭐⭐

Pro better for complex compositions

Machine Learning

Jupyter: Basic models

Jupyter: Complex training

⭐⭐

Pro required for serious ML work

Professional Workflow Resources