After two decades of writing code, I've watched every "revolutionary" tool come and go. Most of them were noise. AI is different — but 95% of the AI tools people hype are still noise.

Here's what actually survived in my daily workflow after a year of heavy use.

1. An LLM as a thinking partner (not a code monkey)

The biggest mistake developers make with AI: using it to write code they should understand. The real power is using it to think faster.

I use an LLM to:

• Rubber-duck complex architecture decisions

• Draft technical specs before I write a line of code

• Explore edge cases I haven't considered

• Translate between domains ("explain this financial concept like I'm a backend developer")

The anti-pattern: Pasting "build me a todo app" and shipping whatever comes back. If you can't read the output and spot the bugs, you're not using AI — it's using you.

2. A code assistant with good context management

Tab-completion is table stakes. What matters is how much of your codebase the tool understands.

My setup: I feed the assistant my project structure, key files, and coding conventions upfront. Then it writes code that actually fits my architecture instead of generic Stack Overflow answers.

The key insight: Spend 10 minutes configuring your assistant's context once, and you'll save 10 hours of fixing its bad suggestions.

3. One automation platform (not five)

Pick one: n8n, Make, or Zapier. Learn it deeply. Build every glue workflow there.

My automations handle:

• Lead notifications → enrichment → CRM updates

• Content publishing → cross-posting → analytics collection

• Customer onboarding → welcome sequences → check-in triggers

The rule: If you're copy-pasting between two apps more than twice a week, automate it. If the logic has more than 3 branches, write code instead.

What I stopped using

• AI writing tools (my voice matters more than speed)

• AI image generators for production work (stock + custom design still wins)

• "AI-powered" project management (regular project management works fine)

• Any tool that calls itself "AI-powered" but is really just a ChatGPT wrapper with a $49/mo price tag

The framework

Before adding any AI tool to your stack, ask:

1. Does this save me >30 minutes per week? If not, it's a toy.

2. Can I verify its output? If not, it's a liability.

3. Does it compound? A tool that makes you faster today AND teaches you patterns for tomorrow is worth 10x a tool that just does the work for you.

Build with tools that make you better, not tools that replace you.

---

I write about practical AI for developers and builders. No hype, no slop — just what actually works.