Guide
Agentic Coding with a Human Gate
Last updated: October 27, 2026
Agentic coding is software development where an AI agent does more than suggest the next line. It reads the codebase, makes a plan, edits files, runs the tests and fixes what fails, in a loop, with little input from you.
Claude Code, Codex and Copilot all work this way now. The question for most teams is no longer whether agents can write the code. It is how to keep control of what they write.
What changes when the agent drives
With autocomplete, a developer reads every line as it appears. With an agent, a hundred lines can land before anyone looks. Review moves from the keyboard to the pull request, and the pull request gets bigger.
That shifts where mistakes are caught. If the task was vague, the agent builds the wrong thing well, and a reviewer has no written intent to compare it to.
Where the human gate belongs
Agentic AI works best when people approve the decisions and agents do the labour. In practice that means three checkpoints:
- Before the work. A person approves the spec, so the agent starts from agreed intent.
- During the run. Each step is visible, and a person can approve it or step in.
- Before the merge. The result is a pull request. Merging stays with your team.
Don't take the agent's word for it
Agents report success with confidence, including when a test was skipped. A sound agentic setup re-runs the checks itself instead of trusting the agent's summary, and stops the run with a reason when review fails.
How nTra does agentic coding
nTra is a spec-driven product engineering platform: every task your AI coding agents build traces back to a requirement your business signed off. You approve the brief first. Each task then runs through your own coding agent, on your computer through the ntra CLI, or in our cloud.
Every run moves through four steps, from prepare to review, and the Console shows each one. nTra re-runs the tests on its own, and the work ends as a pull request. nTra never pushes to main.
See the loop on how nTra works.