From Berklee to Software Engineering: How Music Training Made Me a Better Developer
Discover how skills from music production and audio engineering transfer to software development. A Berklee graduate's perspective on the unexpected connections between music and code.
When people learn I went to Berklee College of Music and now work as a software engineer, they often ask: "That's quite a pivot - how did that happen?" But the more I code, the more I realize it wasn't a pivot at all. It was an evolution.
Today I build audio plugins with JUCE, web applications with React, and combine both worlds with the Web Audio API. Here's how my music background shaped my approach to software.
The Hidden Curriculum
At Berklee, I studied Electronic Production and Design. Beyond learning synthesis, sound design, and production, I developed skills that would prove invaluable in software:
Pattern Recognition
Music is patterns - chord progressions, rhythmic structures, melodic motifs. After years of analyzing songs, I developed an intuition for patterns that translates directly to code:
// Musical pattern: verse-chorus-verse-chorus-bridge-chorus
// Code pattern: similar structure in component composition
function Song() {
return (
<>
<Verse key="v1" />
<Chorus />
<Verse key="v2" />
<Chorus />
<Bridge />
<Chorus final />
</>
);
}
When I see code, I see structure the same way I see song form. Refactoring feels like arranging - finding the right place for each element.
Systems Thinking
A recording studio is a complex system: microphones, preamps, converters, DAWs, plugins, monitors. Understanding signal flow taught me to think in systems:
Audio Signal Chain:
Microphone → Preamp → A/D Converter → DAW → Plugin Chain → D/A → Monitors
Software Pipeline:
User Input → API → Service Layer → Database → Response → UI
When debugging, I trace the signal path. Where does the problem start? Where does it manifest? This systematic approach has saved countless hours.
Real-Time Performance
Live sound engineering requires immediate response. When the feedback starts, you have milliseconds to react. This translates to:
- Incident response: Staying calm when production is down
- Live coding: Debugging under pressure
- Real-time systems: Understanding the constraints of audio plugin development
Audio Plugin Development: The Bridge
Building audio plugins with JUCE and C++ became my bridge between worlds. It's software engineering that directly serves musicians:
// The processBlock function - where music meets code
void SaturatorProcessor::processBlock(AudioBuffer<float>& buffer)
{
for (int channel = 0; channel < buffer.getNumChannels(); ++channel)
{
auto* channelData = buffer.getWritePointer(channel);
for (int sample = 0; sample < buffer.getNumSamples(); ++sample)
{
// Apply soft clipping saturation
float x = channelData[sample] * driveAmount;
channelData[sample] = std::tanh(x) * outputGain;
}
}
}
Every line of code affects the sound. It's deeply satisfying work that honors both disciplines.
Transferable Skills
1. Creative Problem Solving
Mixing a song is problem-solving: How do I make the vocal sit on top? How do I create space for every instrument? Software development poses similar puzzles: How do I structure this data? How do I make this performant?
2. Attention to Detail
In mastering, we obsess over fractions of a dB. In code, we obsess over edge cases and error handling. The mindset is identical.
3. Iterative Refinement
Music production is iterative. Record, listen, adjust, repeat. Software development follows the same cycle: write, test, refactor, repeat.
4. Collaboration
Studio sessions taught me to collaborate under pressure. Clear communication, respecting expertise, giving and receiving feedback - these skills translate directly to engineering teams.
5. Deadline Management
Musicians know deadlines. Album release dates don't move. This prepared me for sprint commitments and release schedules.
The Unexpected Connections
Some connections surprised me:
Frequency spectrum analysis → Performance profiling: Both involve identifying what's taking up too much space/time
Compression (audio) → Data compression: Different domains, same concept of reducing dynamic range/size
Automation curves → Animation easing: Bezier curves everywhere
Stems and tracks → Git branches: Isolating elements for independent work
Why Music Producers Make Good Developers
If you're a musician considering tech, you already have:
- Patience: Learning an instrument taught you that mastery takes time
- Debugging skills: Tracking down hum in a signal chain is debugging
- User empathy: You know what it's like to be the end user of creative tools
- Project management: Producing an album is managing a complex project
My Journey
My path went:
- Berklee (Electronic Production and Design)
- Music production (Ableton, Bitwig, Pro Tools)
- Sound design & synthesis (Creating unique sounds and textures)
- Audio plugin development (JUCE, C++)
- Web development (React, Next.js, TypeScript)
- Full-stack engineering (Building complete products)
Each step built on the last. Nothing was wasted.
For Musicians Considering Code
If you're thinking about software development:
- Start with audio programming: It's familiar territory
- Learn Python first: It's the most musical programming language
- Try building a MIDI tool: Combine what you know with what you're learning
- Don't abandon music: It's an asset, not a liability
Conclusion
My Berklee degree isn't hanging on my wall anymore, but its lessons appear in every line of code I write. The discipline, creativity, and systematic thinking I developed as a musician make me a better engineer.
If you're a musician who codes, you're not split between two worlds. You're uniquely positioned to build the tools that musicians need.
Check out my audio plugins and web projects to see both worlds in action.
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