Repo Prompt

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Repo Prompt

Repo Prompt

@RepoPrompt

Repo Prompt by @pvncher - the context engineering tool to help you get the most out of your ai subscriptions.

Katılım Mart 2025
99 Takip Edilen6.5K Takipçiler
Repo Prompt retweetledi
Repo Prompt retweetledi
Mason James
Mason James@masonjames·
Codex app crapping out today so I nailed down my workflow w/ @NousResearch Hermes agent. Leveraging GPT 5.5 to connect with various skills/tools (Sentry, xcode, etc) and sending to @RepoPrompt for all coding. @Teknium PR #10438 & #10439 make local MCPs more reliable
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eric provencher
eric provencher@pvncher·
This is how you combine codex app's computer use with @RepoPrompt orchestration Just prompt it to use orchestration.
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eric provencher
eric provencher@pvncher·
The optimize workflow in @RepoPrompt is basically an orchestration variant of auto-research by @karpathy It's simple: - Oracle plans metrics to capture + initial optimizations to try - Sub agent is deployed to do that work - Oracle says continue or stop - Main agent loops
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Repo Prompt retweetledi
Ray Fernando
Ray Fernando@RayFernando1337·
Bring your own agents! Repo Prompt rides on the Claude Code and Codex subscriptions you already have, dispatches them in parallel, and shows you every prompt it sends. I have a feeling a lot of folks are going to be talking about this very very soon. 00:00 Introduction to RepoPrompt App 00:57 RepoPrompt Setup Wizard Walkthrough 03:34 Live App Refactoring Demonstration 05:03 The Scout Agent Workflow 08:38 Concurrent AI Engineer Agents 10:24 Core Benefits and Final Thoughts
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eric provencher
eric provencher@pvncher·
Since doing orchestration in @RepoPrompt I basically never see threads compact. It's kinda crazy Lot of overlap with RLMs
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eric provencher
eric provencher@pvncher·
As models get smarter and more capable, you will get diminishing returns prompting them yourself. Enter "Orchestrate" a powerful new workflow in @RepoPrompt that allows you to combine the strengths of GPT 5.5 and Opus 4.7 in ways no other tool makes possible.
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eric provencher
eric provencher@pvncher·
Next update of @RepoPrompt, the agent can change the settings itself... Pretty wild to experience
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Repo Prompt retweetledi
Mason James
Mason James@masonjames·
This prompt is legit. For @RepoPrompt users, I've written a bespoke multi-agent workflow you can install and use now. Here's the code: gist.github.com/masonjames/432…
Shaw (spirit/acc)@shawmakesmagic

The quality of your vibecoded slop is horrible. I've seen it. Absolute dogshit. Fortunately, there is a fix. Use this prompt: I want to clean up my codebase and improve code quality. This is a complex task, so we'll need 8 subagents. Make a sub agent for each of the following: 1. Deduplicate and consolidate all code, and implement DRY where it reduces complexity 2. Find all type definitions and consolidate any that should be shared 3. Use tools like knip to find all unused code and remove, ensuring that it's actually not referenced anywhere 4. Untangle any circular dependencies, using tools like madge 5. Remove any weak types, for example 'unknown' and 'any' (and the equivalent in other languages), research what the types should be, research in the codebase and related packages to make sure that the replacements are strong types and there are no type issues 6. Remove all try catch and equivalent defensive programming if it doesn't serve a specific role of handling unknown or unsanitized input or otherwise has a reason to be there, with clear error handling and no error hiding or fallback patterns 7. Find any deprecated, legacy or fallback code, remove, and make sure all code paths are clean, concise and as singular as possible 8. Find any AI slop, stubs, larp, unnecessary comments and remove. Any comments that describe in-motion work, replacements of previous work with new work, or otherwise are not helpful should be either removed or replaced with helpful comments for a new user trying to understand the codebase-- but if you do edit, be concise I want each to do detailed research on their task, write a critical assessment of the current code and recommendations, and then implement all high confidence recommendations.

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camsoft2000
camsoft2000@camsoft2000·
RepoPrompt’s new Orchestration workflow is something I can’t live without now. Seeing Codex manage Claude Code agents is really something. For example the main agent killed a subagent to prevent it thrashing on an issue. This is exactly the kind of thing that you don’t get when using single agent coding sessions. Having an orchestrator means it keeps track of the task at all times and rarely compacts which would usually result in loss and session degradation. If you have tried @RepoPrompt I urge you to give it a go. Full disclosure I was given a free license but wasn’t asked to write his post. The product speaks for itself. I highly recommend you follow @pvncher
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eric provencher
eric provencher@pvncher·
Been grinding on @RepoPrompt for nearly 2 years now. Full of ups and downs. I just shipped the orchestration workflow, and it feels like it's finally come together where out of the box it can deliver a magical experience. Really proud of where it is now, and I hope you try it!
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Mason James
Mason James@masonjames·
If you're struggling with code slop, you can drop these instructions into @RepoPrompt's new Orchestrate command. Great results 🚀 x.com/shawmakesmagic…
Shaw (spirit/acc)@shawmakesmagic

The quality of your vibecoded slop is horrible. I've seen it. Absolute dogshit. Fortunately, there is a fix. Use this prompt: I want to clean up my codebase and improve code quality. This is a complex task, so we'll need 8 subagents. Make a sub agent for each of the following: 1. Deduplicate and consolidate all code, and implement DRY where it reduces complexity 2. Find all type definitions and consolidate any that should be shared 3. Use tools like knip to find all unused code and remove, ensuring that it's actually not referenced anywhere 4. Untangle any circular dependencies, using tools like madge 5. Remove any weak types, for example 'unknown' and 'any' (and the equivalent in other languages), research what the types should be, research in the codebase and related packages to make sure that the replacements are strong types and there are no type issues 6. Remove all try catch and equivalent defensive programming if it doesn't serve a specific role of handling unknown or unsanitized input or otherwise has a reason to be there, with clear error handling and no error hiding or fallback patterns 7. Find any deprecated, legacy or fallback code, remove, and make sure all code paths are clean, concise and as singular as possible 8. Find any AI slop, stubs, larp, unnecessary comments and remove. Any comments that describe in-motion work, replacements of previous work with new work, or otherwise are not helpful should be either removed or replaced with helpful comments for a new user trying to understand the codebase-- but if you do edit, be concise I want each to do detailed research on their task, write a critical assessment of the current code and recommendations, and then implement all high confidence recommendations.

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eric provencher
eric provencher@pvncher·
Just released @RepoPrompt 2.1.8 This comes with full integration for @cursor_ai across the app via ACP! It is wild being able to have Codex spin up Composer 2 sub agents to get work done. Repo Prompt is become an absolute power house of an orchestration hub!
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