What's great
RepoPrompt is the uber AI dev productivity enhancer for devs and teams that deliver. A couple of features make it stand out: one is the Context Builder, which is the ability to precisely carve the context required by an LLM to execute a task optimally. The other is, via MCP, to enable multi-model collaboration within a single context window: you can have one model architect a solution, another challenge it, yet another offer a lateral take, all sharing the same codebase context and conversation history. The context selection system is surgically precise: codemaps give structural awareness without burning tokens, while you curate exactly which files get full attention. Running proposals through multiple models before touching code has caught architectural flaws that would've cost hours to unwind.
What needs improvement
Not much, really. The product is great. Perhaps the onboarding experience - due to the myriad of possibilities, the initial learning curve can be a bit steep, but that's not only related to Repo Prompt as a product, but to the complexity of creating complex software in general.
vs Alternatives
There's no other tool on the market that offers the combo of features that Repo Prompt delivers.
How well does Context Builder pick the right files?
Repo Prompt's automated Context Builder is exceptionally precise.
How seamless is MCP integration with Claude Code and Cursor?
It has native integration with Claude Code CLI, Codex CLI and Gemini CLI.
Does context stay consistent between different AI models?
Yes, that's one of its strengths.