AI coding agents, organized around the work

A coding agent can inspect a repository, reason about a task, edit files, run commands, and explain the result. That capability is different from code completion: the agent works toward a broader outcome and may touch several parts of a project before returning an implementation.

The model still needs a precise objective, boundaries, acceptance criteria, and verification plan. Without those inputs, autonomy only makes ambiguity move faster.

In PullPlane, a live card document is the brief for teammates and agents. Research can map the problem first, Claude or Codex can implement the accepted approach, and Reviewer, QA, or Security roles can inspect the result against the same criteria.

• Claude coding runs through the Claude Agent SDK, with Claude Code CLI reserved for the ultracode path
• OpenAI Codex runs through the Codex CLI
• Specialist roles keep a stable review responsibility while using a supported provider

Each run works in an isolated sandbox rather than on a teammate's laptop or in production. The team can inspect the terminal, touched files, diff, and available preview before the change enters the repository's branch and pull-request workflow.

Isolation limits where the agent runs; it does not make the result correct. Repository checks, specialist reviews, and a human merge decision remain part of the delivery path.

Claude and Codex can take different approaches to the same brief. Research, QA, and Security agents answer different questions again. PullPlane is designed to coordinate those responsibilities instead of forcing one model to plan, implement, test, secure, and approve its own work.