Describe your codebase and workflow
Repo size, how many files a typical task touches, how long your working conversations run, and whether tasks need cross-file reasoning.
CURSOR / GITHUB COPILOT / REPLIT / LOVABLE COMPARISONS
Context Bench
Describe your repo size, how many files a typical task touches, how long your working conversations run, and whether tasks need cross-file reasoning — and get a scored fit for a retrieval-based agentic IDE, a large-context chat assistant, and a small-context inline copilot, with per-dimension reasoning.
- 4 inputs scored against 3 context-handling tiers
- Per-dimension reasoning shown, not just a verdict
- All answers stay in your browser
Answer the four questions and click Score context fit to see which tier handles your workflow best.
Best fit for your workflow
How it works
We score three context-handling tiers
A retrieval/indexing agentic IDE, a large-context chat assistant, and a small-context inline copilot are each scored 0-10 per dimension using a transparent rules table.
Get a ranked fit with reasoning
The best-fit tier is shown first, with a full breakdown of why each tier scored the way it did across your specific inputs.
Continue learning: AI coding tool limitations compared · Which AI coding tool is best for MVP development?
Frequently asked questions
Does this measure an actual token count or context window size?
No — it scores qualitative fit tiers (retrieval-based, large-context, small-context) based on how each assistant archetype is documented to work, rather than fabricating exact token-count comparisons that change frequently across vendors.
Why does a large repo favor a retrieval-based agentic IDE?
Tools like Cursor and Windsurf index the repo and pull in only relevant files per request rather than needing the whole codebase in one context window, so they tend to scale better as repo size grows compared to tools that rely on everything fitting directly in context.
What does "cross-file reasoning" change in the score?
It's a separate adjustment on top of the repo/file/conversation scores — tools built to search and reason across multiple files get a boost, and tools built around a single open file or a single pasted context get a penalty, when this is checked.
Is this the same as Dev Tool Matrix or Dev Tool Fit?
No — those compare named AI coding platforms on general criteria or requirements. Context Bench is specifically about context-window/context-handling behavior for a given codebase and conversation shape.
How We Compare
| Feature | MVPHub | Vendor context-window marketing pages | Manual trial across tools |
|---|---|---|---|
| Scored against your actual repo/workflow shape | Included | Not included | Limited |
| Separate reasoning per dimension | Included | Not included | Not included |
| No fabricated exact token-count claims | Included | Limited | Included |
| Reflects real trial results for your codebase | Not included | Not included | Included |
Vendor pages market context-window size in isolation, without connecting it to your actual repo shape; a manual trial gives a real result but costs setup time. MVPHub scores the tiers against your specific inputs instantly, as a starting point before a manual trial.
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