An agent’s strength is not imitating a narrow role
Two client developers can see one another’s agents, skills, failures, and artifacts. A client developer can launch a server prototype or planner without waiting for an available colleague. QA can contact the actual executor and immediately receive the context of the change.
A common mistake is to design agents as digital copies of existing narrow roles: a separate client developer, a separate server developer, a separate QA. This approach transfers old organizational boundaries into the new system and preserves context loss at every handoff.
People must specialize: maintaining deep knowledge of the client, server, build, and QA in one mind is prohibitively expensive. With good context, an agent can hold these areas together—read both codebases, the protocol, logs, tests, and project conventions, then trace one change from the server model through the client UI to verification.
This makes a shared interdisciplinary agent especially valuable. It prepares one coherent plan, sees the contract end to end, and notices connections that narrow specialists discover only after several handoffs and calls. Domain owners do not disappear: they still accept decisions and risks. But now they discuss one end-to-end artifact instead of translating a task among several isolated executors.
A sprint becomes a queue of runs and decisions
A developer no longer supervises ten local chats or waits for the laptop. They send tasks to a shared pool of runtimes, then work through a queue of plan reviews, approvals, and completed results.
Observable sprint
Scroll the table horizontally to see every column.
Waiting, idle capacity, and bottlenecks become visible. The team can determine whether a programmer is actually blocking a task or the run finished long ago and is waiting for a game designer; where compute runs out and where human review is scarce. Parallelism stops meaning cognitively expensive switching between chats: the person makes decisions sequentially while agents work in parallel.
A shared runtime pool separates company compute from the workstation
The minimum infrastructure is a Multica server, Jira integration, and a set of VDS instances or workstations for runs. Add agent accounts, restricted repository access, worktrees, branch rules, and storage for skills, versions, plans, logs, screenshots, diffs, execution traces, and cost metrics.
MulticaAgents, tasks, artifacts, metrics, skills, and an observability interface.
Jira hooksAssignments, comments, statuses, and links to related runs.
VDS / workstationsInterchangeable runtimes for the agent task queue.
Identity and accessAgent accounts, limited credentials, approvals, and an audit log.
Repository layerIsolated worktrees, branches, write rules, and human review.
StorageStack versions, artifacts, screenshots, logs, traces, and cost.
Retired developer workstations can supply part of the shared pool: once heavy sessions and compilation are no longer tied to an interactive desktop, company-owned hardware can become shared compute capacity.
Security becomes a platform property
It is now visible what each agent reads, changes, and runs. Access is not inherited from the session owner: it is granted to a digital role, restricted by project and operation type, routed through approval points, and recorded in a log. A shared process makes the rules verifiable rather than merely declarative.