Explore Prompts

Collect logs/incidents; ChatGPT drafts a blameless postmortem; Cursor queries log/trace snippets and links to code; Antigravity reconstructs a timeline and verifies action items land in code/config. Provide a 30-minute weekly review ritual.

Draft a PR reviewer flow: ChatGPT summarizes diffs and intent; Cursor leaves inline suggestions and auto-fix commits; Antigravity validates tests and risk scores before merge. Output a reviewer rubric and merge checklist.

Create a lightweight SDL: ChatGPT runs threat modeling (STRIDE) per feature, Cursor integrates SAST/secret scan hooks, Antigravity executes dependency/SBOM scans and opens remediation PRs. Provide severity ladder and SLAs.

ChatGPT authors OpenAPI/AsyncAPI contracts; Cursor code-gens server stubs/SDKs and adds contract tests; Antigravity spins up mocks and runs compatibility checks. Output versioning policy and deprecation calendar.

Have ChatGPT template Terraform/Pulumi modules, Cursor generate CI pipelines for plan/apply, and Antigravity agents stand up preview environments per PR. Include drift detection and cost guardrails.

Create a refactor plan that slices changes behind flags. ChatGPT proposes flag taxonomy; Cursor inserts flags and writes toggled tests; Antigravity runs canary + dark launch verifications. Deliver a kill-switch SOP and cleanup checklist.

Design a migration from a legacy stack (e.g., Python 3.8→3.12, Node 14→20, Spring→Spring Boot). ChatGPT drafts risk table and codemods; Cursor applies codemods and fixes types; Antigravity runs smoke/contract tests in sandboxes. Output a phased plan with rollback gates.

Given a product brief, have ChatGPT write acceptance criteria and test outlines, ask Cursor to generate unit/integration tests and the minimal code, then let Antigravity agents execute the suite and open fix-it branches for any regressions. Output artifacts and next steps.

Act as a delivery lead. Orchestrate a dev workflow where ChatGPT refines the spec, Cursor’s Plan/Debug Modes generate and iterate on code, and Antigravity agents run plan→execute→verify missions (editor+terminal+browser). Produce a RACI, daily cadence, and success metrics.

Design an academy with role based tracks, certification, and community. Output syllabus, LMS plan, and KPI tree for adoption impact.

Map value stream and identify wait states. Propose automation and policy changes to cut cycle time by 30 percent. Output investment cases.

Define CAB goals, member mix, cadence, and agenda templates. Output a 2 quarter content plan and feedback integration path.