Diversifying Your AI Tooling: Why Lock-In Is a Mistake
I use five AI agent platforms daily. Here's why diversifying your tooling strategy matters for learning, money, and your actual workflow. Learn how to avoid lock-in.
I use five AI agent platforms daily. Here's why diversifying your tooling strategy matters for learning, money, and your actual workflow. Learn how to avoid lock-in.
A horror show about a town with no rules cracked open something I've been chewing on: what belongs in an AI harness, and what should be left to the agent.
Everyone's asking if you should still learn to code. It's the wrong question. The job was never typing syntax. It was solving problems, and that hasn't changed.
The average developer loses 20% of cognitive capacity per context switch. See how Antigravity's asynchronous tools and subagents cure the focus tax.
I'm shifting 90% of validation left to local pre-commit hooks. Here's why shift left CI/CD is questioning centralized pipelines for small teams with AI agents.
After an AI agent spent hours helping me build a feature, then broke it completely the next day, I'm analyzing my context files and agent configs to prevent this from happening again.
The AI replacement narrative gets it backwards. Junior developers get faster with Copilot. Senior architects are learning to orchestrate fleets of specialized autonomous agents.