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S03: Agent Self-Improvement

Feature Set A — features/agent/evolution.feature

Intent

An evaluation developer defines high-level performance objectives with discrete outcomes. The agent engages in self-improvement cycles to satisfy quantitative improvements, producing enhanced workflow templates available for download and redeployment.

Scenarios

Define performance objective

Tier 2 @engine-required

The developer specifies a quantitative performance target. The agent receives the objective, establishes a baseline measurement, and begins an improvement iteration.

Agent completes improvement cycle

Tier 2 @engine-required

When an improvement iteration completes, quantitative results are recorded and the agent reports whether the target was met. This validates the feedback loop between objective definition and measured outcome.

Export enhanced workflow template

Tier 2 @engine-required

After a successful improvement cycle, the developer requests the enhanced workflow. A workflow template is generated and made available for download and redeployment.

Draft Scenario Mapping

From the draft overview (Scenario 03):

  • Eval dev identifies high-level performance objectives with discrete outcomes → Define performance objective
  • Agent engages in self-improvement to satisfy quantitative improvements → Agent completes improvement cycle
  • Enhanced agent workflow templates available for download and redeployment → Export enhanced workflow template
  • Optional direct integration with GitHub/GitLab SDLC → Future extension