2022 is wrapping up and it was a messy, educational, occasionally painful year. I explored Web3, went deep on security, adopted AI coding tools, burned out, recovered, and came out the other side with a much clearer sense of what matters. Here's the honest recap.

The Web3 Detour

I started the year fully immersed in Web3. Learned Solidity, deployed smart contracts, minted an NFT collection. The technology genuinely impressed me. Writing code that executes on a decentralized virtual machine, where every operation has a real financial cost. That constraint forces a rigor that I've carried into all my other work.

But the ecosystem around it was disappointing. Too much speculation, not enough substance. My NFT collection sold a handful of pieces to flippers and then went silent. The communities I joined were more interested in price than technology. By March, I'd extracted the technical learning and moved on.

I don't regret the time spent. Solidity, the EVM, IPFS, smart contract security patterns. These are real skills. I just don't see myself building in the Web3 space anytime soon. The signal-to-noise ratio is too low, and the FTX collapse in November validated my instinct to step away.

Security Was the Most Valuable Investment

If I had to pick the single most valuable thing I learned this year, it's security fundamentals. I went deep on the OWASP Top 10, set up proper SSH and firewall configurations, learned about secrets management, and started thinking adversarially about every piece of code I write.

The catalyst was deploying a VPS and watching brute force attempts hit it within an hour. That visceral experience of seeing real attacks on your infrastructure changes how you think about code. Every input is potentially malicious. Every endpoint is an attack surface. Every dependency is a supply chain risk.

I've since caught real vulnerabilities in code reviews. SQL injection in a search feature. Broken access control in an API. Debug mode left on in production. These aren't exotic attacks. They're basic mistakes that happen when developers don't think about security. Now I do, and it's made me significantly more effective in code reviews.

Copilot Changed the Game

I started using GitHub Copilot in the summer and it's now a permanent part of my toolkit. It's not perfect. It writes buggy code, hallucinates APIs, and sometimes suggests solutions that are technically correct but architecturally wrong. I review every single suggestion carefully.

But the productivity gain on boilerplate is real. Writing tests, CRUD endpoints, data transformation functions. The stuff where the pattern is clear and the implementation is tedious. Copilot handles these well enough that I save real time every day.

More importantly, Copilot feels like a preview of something bigger. ChatGPT launched in November and the AI conversation exploded. I think we're at the beginning of a fundamental shift in how developers work. 2023 is going to be wild.

The Burnout Chapter

I burned out hard in the fall. Eight months of coding 10-12 hours a day, six or seven days a week. Side projects, Web3 learning, blog writing, day job. I thought I was being productive. I was running myself into the ground.

I took three weeks completely off. No code, no GitHub, no tech content. Read fiction. Went for walks. Remembered that I'm a person who codes, not a machine that produces code. Coming back, I set boundaries that I've stuck to. No coding after 7pm. One side project at a time. Weekends are optional.

The burnout was probably the most important experience of the year because it forced me to confront my relationship with work. The "hustle culture" mindset in tech is toxic, and I was fully bought in. Now I'm not. I write less code but better code, and I actually enjoy it again.

The Technical Wins

Beyond the big themes, some smaller wins that added up:

TypeScript adoption. I finally committed to TypeScript for all new projects and the productivity gains after the learning curve are significant. Refactoring with type safety is a completely different experience than refactoring in plain JavaScript.

Docker Compose for everything. My local dev setup went from fragile "install services on the host" to reproducible "docker compose up" for every project. New machine setup takes minutes instead of hours.

CI/CD pipeline. Built a proper GitHub Actions pipeline with linting, testing, and automated deploys. No more SSH-and-git-pull deployments. Every change goes through automated checks before it hits production.

PostgreSQL knowledge. Learned hard lessons about indexing, N+1 queries, and connection pooling. All from production incidents, which is the expensive way to learn but also the most memorable.

Looking Forward

2022 was a year of wide exploration. Web3, security, AI, databases, DevOps. I tried a lot of things and found out what I actually care about. Going into 2023, my focus is narrower and more deliberate.

I want to go deeper on AI-assisted development. Not just using Copilot, but understanding the underlying models and building tools that leverage them. The AI space is moving incredibly fast and I want to be building in it, not just watching from the sidelines.

I want to keep improving on security. It's a bottomless topic, and the more I learn the more I realize how much I don't know. Penetration testing basics and infrastructure security are next on my list.

And I want to maintain the balance I found after burnout. Sustainable pace. Clear boundaries. Code as craft, not code as identity. That's the real lesson of 2022, and I intend to carry it forward.