A digital Jira identity can be created for any agentic pipeline in Multica. Planner.Agent, Coder.Agent, Reviewer.Agent, and QA.Agent are only examples: each team defines profiles for its own classes of work.

A developer no longer has to run Codex locally. They reassign the issue to the appropriate digital executor. Afterwards, the team can determine retrospectively which agent, with which stack version, on which runtime, produced a given result—and why.

Example profiles—not job levels

Fast Fixer

A short, inexpensive pipeline for easy bugs and safe local changes.

Deep Coder

Broad context and a full toolset for complex implementation.

Ultra Think

A deep or multi-agent pipeline for rare tasks where errors are costly.

A profile describes the type of work and execution strategy, not a human grade. The names above are illustrative: a person selects a profile for the task and remains responsible for acceptance, while Multica ties that choice to a specific configuration, runtime, toolset, and access restrictions.

Assignment in Jira starts execution

Assignment → Hook → Record → Execution → Return

1 · AssignmentThe issue is assigned to an agent account.

2 · HookThe Jira event goes to Multica’s integration service.

3 · LinkA linked execution record is created.

4 · RunThe agent works on an available runtime and collects artifacts.

5 · ReturnJira receives a summary, links, and the next executor.

Jira remains the entry point and source of product context. Multica becomes the place of actual execution. Jira does not need a full log dump; a summary is enough: executor, version, attempt, time, tokens, what was done, why the previous run was rejected, and which artifacts are available through links.

This makes not only agent time but also human expertise visible: who approved the plan, how long review took, where a rejection occurred, and which harness change helped the next attempt.