"Agentic development" gets searched by people who keep running into the term in a vendor deck or a client email and need the short version before anything else. Most of what ranks for it either buries the definition inside a longer piece about one specific tool, or stretches three sentences into a thousand words of hype about autonomous software. Neither is what someone skimming a glossary actually wants.
This piece stays close to AI software development, the wider category it sits inside, but answers a narrower question: what "agentic" adds to "development," in plain terms, and what changes for a team once that word applies to how it works. No prior knowledge of any specific tool assumed: the definition below has to hold for whichever agent a team happens to be running.
What is agentic development, in three sentences?
Agentic development is software development in which an AI agent works toward a stated goal across several steps on its own, deciding what to read, what to change, and when the task is finished, instead of offering one suggestion at a time for a person to accept or reject. The word comes from "agent": software that acts, not just responds. In practice, a person still sets the goal and the boundaries, a person still checks the result, and a person still decides whether to ship it; the agent's job sits between those two moments, turning a goal into a working change with minimal step-by-step supervision. That is the whole shift from tools like autocomplete or a chat assistant, which help with one line or one question at a time. Whether a given tool counts as agentic development depends on how much of that multi-step, goal-directed work it actually does without a person approving every move.
What makes development agentic, and what does not?
Three things separate agentic development from ordinary AI-assisted coding: a goal instead of a single instruction, several steps taken without approval at each one, and the agent choosing its own next move based on what it finds, not a fixed script. A tool that autocompletes a line, or answers one question in a chat panel, is AI-assisted; it is not agentic, because a person is still driving step by step. A tool that reads a whole ticket, plans the change, edits several files, runs the tests, and reports back only when it is done, or stuck, is agentic, even though a person wrote the instruction that started it. The line is about autonomy inside the task, not about how advanced the underlying model is.
Concretely: a developer typing "fix the null check on line 40" and accepting or rejecting the suggested line is not agentic development, no matter how good the model behind it is. A developer writing "the signup form should reject disposable email domains" and letting the agent find the right file, write the check, add a test, and run the suite before reporting back is, even if the underlying task is small. Scale is not the test. Who decides the intermediate steps is.
Which words do people use interchangeably, and shouldn't?
"Agentic development," "agentic coding," "agentic engineering," and "vibe coding" get thrown around as synonyms. They answer different questions.
| Term | Answers the question | Fits this reader |
|---|---|---|
| Agentic development | What is this kind of software development, overall? | Anyone new to the category, non-technical buyers included |
| Agentic coding | What does the agent actually do, step by step? | Developers running the loop |
| Agentic engineering | What does the engineer's job look like now? | Engineers, team leads |
| Vibe coding | What happens when nobody checks the loop at all? | Anyone evaluating the risk |
This piece stays on the first row, the plain-language definition. What Is Agentic Coding goes inside the loop itself: plan, edit, run, verify. Using them as synonyms in front of a client is a minor sloppiness; using them as synonyms while deciding what to buy or what to authorize is where the confusion starts costing something, because the four questions above call for different answers, not different words for the same one.
What does it change for a team that delivers to clients?
For a software house, agentic development changes the ratio of effort, not the responsibilities. Coding agents can plan and execute a change end to end, so the team spends comparatively less time typing and comparatively more time deciding what to authorize and checking what came back, the same shift the wider AI software development piece documents at the level of the whole discipline. The Stack Overflow Developer Survey 2025 found 69% of developers using AI agents report higher individual productivity, but only 17% report better team collaboration, a gap that shows up specifically once work goes agentic: one person can move fast alone with an agent, while the team's ability to trust and reuse that output does not automatically follow. Closing that gap is not automatic either: it means deciding upfront what an agent is authorized to do, and what proof has to exist before its output ships to a client. None of that is a reason to slow adoption down. It is a reason to treat "we do agentic development now" as the start of a process question, not the end of one.
Where to go deeper
If the short version above is enough, stop here. If not, What Is Agentic Coding goes inside the loop itself, AI Coding Agents: What to Judge After the Agent Finishes compares tools on what survives a session, and AI software development is the fuller picture this term is one piece of. On the delivery side, the layer missing above every coding agent and Detent Bench measure the same question this piece only defines: what a team can still show after an agent's work ships.