Greg is clicking the ‘Next’ button on a slide deck that looks like it cost $203 to design, his chest puffed out because the rack in the basement now hums with the power of 233 new cores. He’s vibrating with the energy of a man who has just spent a quarter-million dollars of someone else’s money. In the back row, three developers are huddled over a single laptop, their faces illuminated by the pale blue light of a terminal window that hasn’t changed in 103 seconds. They are waiting for a staging environment to deploy a 3-line code change. The mismatch between Greg’s triumphant graphs and the actual, lived experience of the engineering team is so profound it feels like a physical tear in reality. It is the silent tax of modern computing: we are buying faster and faster hardware to accommodate increasingly slower and more bloated software.
We have these massive, multi-lane highways of PCIe Gen 5 lanes and DDR5 memory, but we are using them to transport a single, rusting bicycle carrying a 503-pound bag of wet cement. It is a cargo cult. We think the hardware is the solution because it’s the only thing we can physically touch, but the bottleneck has migrated. It isn’t in the transistors anymore; it’s in the abstractions.
I feel this dissonance in my bones today because I am currently reeling from the social fallout of accidentally sending a text meant for my therapist to my landlord. It was a 43-word confession of deep-seated inadequacy regarding my ability to maintain a clean kitchen, and now I have to look him in the eye when the faucet leaks. That sense of raw, exposed error-of sending something heavy through a channel that wasn’t built for it-is exactly how our software feels on modern silicon.
The Viscosity of Software Bloat
Felix G.H., a man who spends his days as a sunscreen formulator in a lab that smells faintly of coconut and chemical burns, understands this better than most. He isn’t a coder, but he deals with viscosity. Felix once explained to me that the perfect SPF 53 lotion needs to be thick enough to provide a barrier but thin enough to disappear into the skin. If you get the polymer balance wrong, it becomes a gummy mess that just sits on the surface, catching lint. Software has become that gummy mess.
Simulated Software Performance (Viscosity Analogy)
Felix sits at his workstation, a beast of a machine with 63 gigabytes of RAM, and waits for a simple spreadsheet to calculate the molecular weight of a new zinc oxide derivative. The fans spin up. He tells me the software feels ‘saturated,’ like a saturated solution that can no longer hold any more solute without crystallizing into junk.
The Race Against Incompetence
I hate the bloat, but I am addicted to the fix. I want the hardware to outrun the incompetence of the code. We are in a race where the track is made of quicksand. Every time the hardware manufacturers give us a 13 percent boost in IPC, the software developers find a way to add 23 new layers of telemetry, logging, and ‘convenience’ wrappers that eat that gain for breakfast. It is a parasitic relationship where the host is the silicon and the parasite is the ‘modern web stack.’
“I spent 43 minutes yesterday trying to unsubscribe from a newsletter, and the page reload took so long I actually had time to reflect on every poor life choice I’ve made since 2003.”
There is a specific kind of madness in seeing a 16-core CPU struggle to render a text editor. We have moved away from craftsmanship toward a model of ‘good enough for the average user,’ which really means ‘it works on my $5003 workstation so it must be fine.’ But it isn’t fine. The economic cost is staggering, but the environmental cost is what really keeps me up at night. We are mining rare earth minerals and burning 83 gigawatts of power to run code that was written with the efficiency of a drunken toddler.
The Performance Gap: Raw Power vs. Lean Execution
Wasted on Bloat
Actual Experience
This is why I find myself gravitating toward people who actually care about the marriage of metal and logic. You see it when you look at
Fourplex, where there is a recognition that you can’t just throw raw power at a problem and expect it to vanish. If you host a bloated, unoptimized container on a top-tier server, you’re just wasting high-grade fuel in a car with square wheels. The real performance comes from the synergy between the cutting-edge hardware and a refusal to accept the status quo of software sluggishness.
The time it takes to exit the ‘modern web stack’ ecosystem.
I think back to Felix and his sunscreen. He once told me about a batch of Formula 33 that failed because the mixing blade was spinning too fast, creating micro-bubbles that ruined the consistency. The hardware was too powerful for the delicate chemistry of the lotion. We are doing the opposite; our chemistry is so heavy and bubbled with ‘features’ that even the fastest blades can’t make it smooth. That’s not a hardware problem. That’s a failure of ethics in engineering. We have forgotten that the user’s time is a finite resource, one that can’t be upgraded with a new NVMe drive.
The Counter-Movement: Valuing Efficiency
It’s easy to get cynical, but there’s a counter-movement happening. Small pockets of developers are returning to C, to Zig, to Rust, or even just to sane JavaScript. They are the ones who look at a 13-megabyte binary and ask, ‘Why is this so big?’ instead of ‘Can we get a bigger SSD?’ They are the ones who understand that efficiency is a form of respect for the user.
Speed Above All
Single Core Priority
Lean Binary
Measured Footprint
User Respect
Finite Time Resource
When I accidentally sent that text, the mistake was mine, but the system delivered it instantly. It was a rare moment where the software did exactly what it was told without a second of hesitation, proving that the speed is there if we don’t get in its way. It just happened to be the one time I wished the software was a little slower.
If we keep this up, we’ll eventually reach a point of total stagnation. A world where we have 1003-core processors and it still takes 13 seconds for a lightbulb to turn on because it has to check for a firmware update and handshake with a server in Virginia. We are building a digital civilization on a foundation of ‘maybe more RAM will fix it.’ We need to celebrate the engineers who can do more with a single core than their peers can do with a cluster of 83. Because at the end of the day, the hardware is just a stage. It’s the performance-the software-that actually matters.