Agentic coding gives an AI model a goal and lets it take many actions to reach it. Autocomplete only predicts text near your cursor.
An agent works in a loop:
it inspects the repository and plans the work
it edits files and runs commands
it reads test failures and tries again
A person supervises the run and reviews the result.
Autocomplete is much narrower. Nothing changes until the developer accepts a suggestion. An agent can touch many files and use tools, so it can get more done and also do more damage.
Use autocomplete for quick local drafting. Use an agent for a clear, bounded task with reliable checks and limited permissions. Make sure someone has the review capacity to understand everything it changes.
Rewriting in plainer words…
This answer doesn't lend itself to a diagram - it reads best . No credits were charged.
How does agentic coding differ from vibe coding?Separate how much the tool acts on its own from how closely the human reads the output, and note the two can overlap.
What you can say
Agentic coding means you give an AI model a goal and let it take many actions to reach it, while autocomplete just predicts the text near your cursor.
The agent works in a loop. It looks through the repo, plans the work, edits files, runs commands, reads the test failures and tries again.
A person supervises that run and reviews what comes out at the end.
Autocomplete is much narrower, because nothing changes until I accept a suggestion.
Since an agent can touch many files and run tools, it can get a lot more done, and it can also do a lot more damage.
So I use autocomplete for quick local drafting, and I give an agent a clear, bounded task with reliable checks, limited permissions and someone with time to review every change.
Weak answers to avoid
Calls an agent a smarter autocompleteThe difference is the loop, not model quality. Say the agent plans, edits many files, runs commands and retries toward a goal.
Presents agents as fully hands-offLeaving out supervision sounds naive. Say a person watches the run and someone must understand every change before it merges.
No word on risk or when to use eachListing features misses the trade-off. Say agents do more and can break more, so give them bounded tasks with good checks and limited permissions.
Treats autocomplete as obsoleteAutocomplete is still the right tool for quick local drafting. Show you pick the tool by task size and risk, not by novelty.
Interview lens
Likely follow-ups, what you can say, and the weak answers to avoid.
