Forge
Forge: AI Test Generation & Isolated Execution
AI Test-Authoring & Automation Agent
An intelligent AI automation agent that investigates product-area workstreams, creates detailed automation tickets, and autonomously generates, validates, and runs regression test suites across repositories using isolated git worktrees.
The Core Challenge
Engineering Solution & Implementation
Built an autonomous test-authoring engine with semantic indexing of the existing automation codebase. Forge scans ticket requirements, branches isolated git worktrees to author Pytest/automation scripts, executes local verification, and enforces review, CI, and integration gates (static analysis, CI test runs, integration checks).
Figure 3: Forge's automated test-authoring pipeline with isolated git worktrees and automated gating.
Tickets route from investigation through semantic retrieval into a per-ticket git worktree. The worktree holds that ticket’s state apart from other branches. Review, CI, and integration gates validate the result, and the local check loop plus the review remediator send issues back before delivery.
My contribution
I built the agent that investigates product-area workstreams, writes Python tests in isolated git worktrees, and reuses existing fixtures, helpers, and page objects through semantic retrieval.
Tradeoff
Authoring happens in isolated git worktrees, and a result is delivered only after review, CI, and integration gates.
Verified Outcomes & Deliverables
Authors regression tests in isolated git worktrees so simultaneous tickets do not share a branch.
Reuses existing fixtures, helpers, and page objects through semantic indexing of the automation codebase.
Holds each result to review, CI, and integration gates.