Claude Code Editor (VS Code Extension)

Hacker News

I built a VS Code Extension that allows you to more easily edit your prompts before sending them to Claude Code and search for files to add to the context. I made it open source project to help build it out quickly and allow people to add features they think make sense. Top things I'm planning to add soon are: 1) Capturing the output from Claude Code 2) Displaying which files were updated since the last message And in the future I want to add: 1) Diff view within the file (like in Cursor) 2) Undo ability I'm sure Anthropic will add some of these features at some point, but I can't wait! Let me know what you think or suggestions for features. Feel free to submit PRs too!

Visit product View on Hacker NewsMay 20, 2025

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2points

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Did not reach leaderboard

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, claude, context · Missing: mac, agents, macos

96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, io · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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