Ingeniería
Personal software factory: Grok Bot orchestrates, Jev scores the loops
Cloud coding agents ship slop when nobody gathers context first or runs real review loops.
Qué dolía
Ian Lapham (@ianlapham) uses Grok Bot as the orchestrator for a personal software factory: it ingests Slack, GitHub, and Notion, then kicks cloud coding agents through a graph of loops with Jev as verifier at each step. Pipeline: (1) Orchestration — PM + engineering agents gather live context and start work; (2) Planning/implementation on strong cloud models; (3) Review pass — parallel context-free sub-agents (minimize, repo prefs, bugs, anti-slop, evidence) report to Jev; critical findings go back to a coder; (4) Review pass 2 with a different model family; (5) Optional on-device testing on a remote Mac mini (pre-warmed devices, auth skills, feature-vs-plan check); (6) Fresh intent check with Jev on screenshots/video; (7) PR skill uploads evidence, watches CI bug bots, and re-loops on failure. Tip with author-published steps. Not affiliated with xAI.
Qué instalar o crear
Grok Bot context (Slack/GH/Notion) → cloud plan/code → multi-loop Jev review → optional device test → intent check → PR + CI loop.
Bots
PM orchestrator
Gather Slack/GitHub/Notion context; kick planning when you are ready to start work.
Engineering orchestrator
Hand context to cloud coding agents and drive the review/test/ship loops.
Jev verifier
Score review findings and intent checks; send critical misses back to a coder.
Plugins
Notion
Obligatorio
GitHub
Obligatorio
Archivos
Planning skills (full-stack vs app-specific env setup); PR creation skill that attaches on-device evidence.
Rutinas
Ninguna en el primer uso. Mira primero una pasada manual.
El prompt
Esto es un consejo, no un prompt de sistema para pegar. El autor no publicó uno. Sigue los pasos del primer uso.
Primer uso
- 1Read the thread starting at https://x.com/ianlapham/status/2104690437650857993.
- 2Pipe Slack, GitHub, and Notion into Grok Bot with skills that keep context live; run separate PM and engineering kickoff jobs.
- 3Have cloud agents plan and implement with strong models, then run a context-free parallel review pass (minimize, prefs, bugs, anti-slop, evidence) scored by Jev.
- 4Run a second review pass on a different model family; optionally test on a pre-warmed remote Mac with auth/nav skills.
- 5Finish with a fresh intent check (screenshots/video + Jev), then open a PR with evidence and re-loop until CI/bug-bots pass — you approve merge.
Valla de aprobación
Merge and production ship stay human-gated; agents may open PRs and re-loop CI only inside your rules.
Qué ajustar
Steal “context first, then parallel context-free review loops scored by a verifier.” Humans step in at the end, not every commit.
Fuente
Ian Lapham @ianlapham · Publicación original
Sin afiliación con xAI. No escribimos este prompt. Siguen aplicando las condiciones de las plantillas de terceros.
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