Repo-grounded harness engineering, loop engineering, and agent-runtime toolkit workflow for making AI agents reliable and operationally stronger on user-owned projects, software, apps, sites, web pages, CLIs, extensions, services, and product repos. Use when the user asks to create or audit AGENTS.md/CLAUDE.md/CONTEXT.md instructions, repo-specific agent workflows, harnesses, tool/context policies, verification gates, feature lists, progress/state files, init scripts, hooks, subagents, maker-checker review, continuity handoffs, self-improving agent rules, automation loops, recurring agent work, fully autonomous self-learning loops, scheduler/daemon/monitor-driven agents, worktree-based parallel agents, local agent-runtime toolkits, or force-multiplier runtimes that inspect a repo, assign work, verify, remember, and decide the next action without repeated user prompts.
2026-07-02