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Automated Multi-LLM Dev Orchestrator

A developer tool (CLI/GUI) that automates the 'Plan -> Execute -> Review' workflow across different AI models. It acts as a smart router, sending planning to Opus, execution to Sonnet/Codex, and review to a fresh model, eliminating the manual mental overhead.

Voir sur Reddit
Découvert 26 avr. 2026

Détail du score

Intensité du problème9/10
Volonté de payer9/10
Facilité de réalisation5/10
Durabilité6/10

Différenciation

Solutions existantes
Superpowers pluginOpenAI codex-plugin-ccCustom GitHub Repos (turbo, strigov)
Notre angle
There is no commercial, unified orchestration tool that automatically routes Plan -> Execute -> Review tasks to the optimal AI models based on cost and capability.

Voix de la communauté

Citations réelles de commentaires Reddit qui ont inspiré cette opportunité

  • the annoying part is doing this by hand. you're basically running a routing table in your head, deciding which model gets which task based on vibes
  • someone's going to automate this eventually and it'll feel obvious in hindsight.
  • I struggle to understand why one would that. Can someone explain to me the rationale about this strategy?
  • keep Codex task units tight - if the spec has any ambiguity it fills the gaps in unexpected ways.
  • CODEX ALWAYS CATCH STUFF. claude not so much.

Plan d'Action

Validez cette opportunité avant d'écrire du code

Prochaine Étape Recommandée

Construire

Signaux de demande forts. Vraie douleur et volonté de payer détectées — commencez à construire un MVP.

Kit de Textes pour Landing Page

Textes prêts à coller, basés sur le langage réel de la communauté Reddit

Titre Principal

Automated Multi-LLM Dev Orchestrator

Sous-titre

A developer tool (CLI/GUI) that automates the 'Plan -> Execute -> Review' workflow across different AI models. It acts as a smart router, sending planning to Opus, execution to Sonnet/Codex, and review to a fresh model, eliminating the manual mental overhead.

Pour Qui

Pour Senior software engineers and indie hackers who heavily use AI for coding and want higher quality outputs without manual prompting.

Liste des Fonctionnalités

✓ Pre-built Plan-Execute-Review pipelines ✓ Smart model routing based on task type ✓ Automated Git worktree management for AI PRs

Preuve Sociale

the annoying part is doing this by hand. you're basically running a routing table in your head, deciding which model gets which task based on vibes— Utilisateur Reddit, r/r/ClaudeCode

someone's going to automate this eventually and it'll feel obvious in hindsight.— Utilisateur Reddit, r/r/ClaudeCode

I struggle to understand why one would that. Can someone explain to me the rationale about this strategy?— Utilisateur Reddit, r/r/ClaudeCode

keep Codex task units tight - if the spec has any ambiguity it fills the gaps in unexpected ways.— Utilisateur Reddit, r/r/ClaudeCode

CODEX ALWAYS CATCH STUFF. claude not so much.— Utilisateur Reddit, r/r/ClaudeCode

Où Valider

Partagez votre landing page sur r/r/ClaudeCode — c'est exactement là que ces points de douleur ont été découverts.