Software developers using AI coding assistants need a tool that reads and understands the entire context of a large file to prevent duplicate functions and ensure modifications are correct.

Target User

Software engineers and developers using AI coding assistants (e.g., GitHub Copilot, ChatGPT).

Product Idea

A VSCode extension that indexes and maintains a full, searchable context map of a file, allowing AI assistants to reference the entire codebase before suggesting modifications or new functions.

Evidence

• “You'll often find it writing three duplicate functions for the exact same feature in a single file. Why? Because it's terrified of blowing up the context window, so it only reads a fraction of a large file and completely misses the existing functionality. +”

  https://news.ycombinator.com/item?id=48770319

Why this opportunity matters

This opportunity surfaced from multi where Software engineers and developers using AI coding assistants (e.g., GitHub Copilot, ChatGPT). are actively describing the problem in their own words. We classified the demand intensity as high — meaning users are not just complaining, they are openly looking for paid solutions and willing to switch tools to find one. When users self-select to post a problem on a public platform like multi, they are usually already trying to solve it — which makes them strong candidates for the right paid alternative.

How to validate this before you build

Before writing a single line of code, three lightweight steps will tell you whether this opportunity is worth pursuing:

1. Read the original conversation. The evidence links above lead to the exact threads where users described this problem in their own words. Read every comment — what people argue about in the replies often matters more than the original post.
2. Talk to five real users. Find five people who match the target user description above and ask how they handle this today. You are looking for two signals: a consistent workaround they hate, and a willingness to pay for something better. If both show up in three of five conversations, the demand is real.
3. Test willingness to pay before building. Put up a one-page landing site describing the proposed product, with a deposit or pre-order checkout. If even a small fraction of traffic converts to a real payment, you have validated more than most products that ship to production.