You'll steer inline completions intentionally: skeletonize functions to get better suggestions, and catch the wrong ones before Tab makes them permanent.
🙋 THIS IS YOU IF
✓Using GitHub Copilot or Cursor to accept inline completions as you type
✓It's fast for boilerplate, repetitive patterns, and well-worn API calls you'd have to look up otherwise
✓You've started writing skeleton functions so the model has a pattern to continue, not just a blank line
✓The speed-up is real, but it's not helping you make decisions. Just implement them faster
💡 WHAT WE'LL UNTANGLE
The model only sees what's near your cursor. Your project architecture is invisible to it
Every session resets. It has no memory of your conventions, your bugs, or what you decided last sprint
Multi-file changes still require you to open each file manually and coordinate edits yourself
The same AI mistakes recur because there's nowhere for lessons to accumulate between sessions
You're doing all the architectural thinking. The AI is fast, but it's not a thinking partner yet