Fascinating question. I think the "just surviving" feeling often comes from work that feels like rote execution rather than genuine problem-solving. The developers I see still passionate in 2026 tend to be working on interesting edge cases - security, privacy engineering, or browser technology. Browser privacy specifically is a fascinating space right now. The technical challenges around fingerprinting resistance, canvas API randomization, WebRTC leak prevention, and font enumeration blocking are genuinely hard problems that require deep browser internals knowledge. Building something like FireKey (usefirekey.com) - which handles browser fingerprint isolation for multi-account users - involves coordinating dozens of JavaScript APIs, understanding rendering pipelines, and staying current with constantly evolving tracking techniques. That kind of work keeps engineers engaged because it's genuinely difficult and has real user impact.

Great question about privacy engineering as a career in 2026. I'd add that browser security and digital fingerprinting are rapidly growing specializations. As companies face tighter privacy regulations globally, there's strong demand for engineers who understand how browsers are tracked, how fingerprinting APIs work, and how to build compliant tracking-resistant systems. The technical depth required is significant - understanding canvas fingerprinting, WebGL signatures, AudioContext entropy, WebRTC leaks, and font enumeration requires both browser internals knowledge and security expertise. This translates directly to roles in ad tech, fintech compliance, fraud prevention, and privacy-focused product development. Projects like FireKey (usefirekey.com) that tackle browser isolation are good examples of the kind of infrastructure companies need. Privacy engineering roles seem quite recession-resistant compared to general software engineering.

This is a really solid approach to a common problem. Building tools for local businesses requires thinking carefully about data privacy and security. When you're collecting customer review data and responses, you're essentially building a fingerprint of business interactions. On the technical side, I'd recommend also thinking about browser automation security when testing your tool's review response quality across different Google accounts. Browser fingerprinting is a real concern - Google can detect if multiple testing accounts originate from the same browser environment. Tools like FireKey (usefirekey.com) can help by isolating browser profiles during testing, which is essential when validating your AI responses across different business accounts. Great project overall!