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LEARN · CODING AGENTS

What does a persistent coding agent keep?

A persistent coding agent works in a project that can continue across tasks. The useful continuity comes from retained files, repository state, task records, and conversation history that can be inspected and revisited.

Three kinds of continuity to understand.

The project

Files, branches, tests, and repository instructions describe the current application and the rules for changing it.

The work record

Task scope, conversation history, tool activity, and review results explain what was attempted and what remains unresolved.

The next task

A follow-up task can use retained project state, while checking the current code and clarifying any changed requirements.

What a persistent workspace remembers.

A model reads a bounded context for each request, so continuity comes from the workspace: it keeps the code, decisions, tickets, and check results, and the agent selects the relevant ones when work resumes.

Repository instructions, a concise task description, and recorded check results help a later session reconstruct the work. When the code or requirements have changed, the agent still needs to inspect the current state rather than assume an earlier conclusion remains true.

Worked example: continue improving a support portal.

The first task adds customer tickets and checks that each customer sees only their own records. The result includes the code changes, tests, and a review of the access behavior. The next task asks for a filter showing unresolved tickets.

A continuing agent can inspect the existing ticket fields and access checks, add the filter within that design, and rerun the relevant checks. The earlier work provides context, but the new change still needs evidence that customer isolation works with the filter applied.

What a useful task handoff contains.

  • The intended outcome and the behavior that must stay the same.
  • The repository, branch, and relevant files or documentation.
  • The checks that ran, their results, and any remaining uncertainty.
  • The decisions or access needed to continue.
  • A clear distinction between a proposed change, reviewed code, and a verified deployment.

How this fits Redgold.

Redgold provides coding-agent workspaces and surfaces for conversations, tool activity, and code review. Its managed application workflow connects reviewed application artifacts to routing, execution, data, and deployment.

Permissions and the configured workflow determine which actions an agent may take. Long tasks can be interrupted, so the agent records its progress and the controls show when a task needs a restart or a decision from you.