jeremy.runtime
jeremy@agent: /skills/ai-developer-tooling

AI developer tooling

Workflow design for engineers who want agents to produce useful diffs, reviewable PRs, and steadily improving systems.

The tooling surface

Agentic development works when the toolchain makes the work visible: what changed, why it changed, how it was verified, what risk remains, and what needs a human decision.

The progression I keep testing moves from one agent doing a task, to role-separated agents, to review agents, to babysitting flows, to automation that keeps low-risk work moving while preserving human review for consequential changes.

Proof points

ClaimEvidenceArtifact
Developer tools should make agent work reviewable.PR babysitting, CI watching, browser QA, screenshots, and summaries make agent output easier to accept or reject.Control plane article
Agent platforms need reusable skills and workflow memory.OpenClaw-style workspaces preserve task state, regressions, operating notes, and reusable role behavior.OpenClaw and agent tooling
Tooling is strongest when it ships product.Swoleby uses the agent workflow against real UX, content, approvals, SMS behavior, and release pressure.Swoleby