Who this is for
Developers who form a clear opinion reading a PR but lose half of it typing comment by comment.
The moment this saves you
I read a PR carefully, form a clear opinion, and then lose half my feedback typing it out comment by comment, so the review ends up thinner than the thought I actually had.
See it work
Messy spoken thought in. A clean, structured artifact out.
Reviewing Sam's PR on the export feature. The big blocker is the export runs synchronously in the request handler, with a large dataset that'll time out, this needs to move to a background job before we merge. Couple of suggestions, the error handling swallows exceptions silently in the parse function, we should at least log them, and the function names like doStuff aren't great, could be clearer. Nit, there's a commented-out block on line 40 that should go. On the plus side, the test coverage is genuinely great, they covered the edge cases I'd have missed. Overall good work, just needs the async fix.
Review, Sam's export PR
Blockers (must fix before merge)
- Export runs synchronously in the request handler, will time out on large datasets. Move to a background job.
Suggestions
parseswallows exceptions silently, at least log them.- Unclear function names (e.g.
doStuff), make them descriptive.
Nits
- Commented-out block on line 40 should be removed.
Praise
- Test coverage is genuinely great, edge cases well handled.
Overall: good work, needs the async fix.
The workflow
Record a voice note
Hit the hotkey and talk, no formatting, no typing.
Tag it with this context
Contextli shapes your words into the structured output above.
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The prompt behind this context
I'm going to talk through my feedback on a code review / pull request. Turn it into organized review comments with four bold sections: **Blockers (must fix before merge)**, **Suggestions**, **Nits**, and **Praise**. Put each point under the right severity, keeping my technical specifics, file/line references, and function names exactly. End with an italic overall line if I give a verdict. Don't invent issues or upgrade a nit to a blocker. Omit any empty section. Output only the review.
Make it your own. This is a starting point. Once it's in Contextli, tweak the instructions so the output comes out exactly how you like it.
Use this context
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Next, open Contextli, go to the Contexts page, click Import, choose From JSON, paste, then Import Context. It is ready to use.
Make it your own. This is a starting point. Once it's in Contextli, tweak the instructions so the output comes out exactly how you like it.
Your raw recording and transcription stay on your device, so you can always go back to the original.
Related contexts
Code Decision Log
Right after you make the call, while the tradeoffs are still fresh, talk through why you went this way and what you rejected. Three months from now when someone asks 'why a queue here?', the answer is already written down.
Standup Update
Standup's in two minutes and you're still reconstructing yesterday. Skip the typing. Talk through your day in whatever order it comes out, and get a clean yesterday, today, and blockers post you can drop straight in the thread.
Technical Spec Note
You've figured out the approach in your head and writing the spec feels like a tax. Talk it through, the problem, the approach, the tradeoffs, the open questions. You get a structured skeleton you can flesh out, instead of staring at a blank design doc.
Questions people ask
Questions developers ask about Code Review Note
What should a review note include?
A good review note includes a clear title, steps to reproduce the issue, the expected behavior, the actual behavior observed, the severity or priority, and the environment details such as OS, browser, and app version. The Code Review Note context structures your spoken description into these fields automatically, so nothing gets left out when you are in the middle of debugging.
How do I write a review note in under a minute?
Speak what you found: describe the issue, what you expected, what actually happened, and how bad it is. The Code Review Note context structures your words into a complete review note you can paste directly into Jira, Linear, or GitHub Issues. Most take under 60 seconds to dictate, so you capture them without breaking your flow.
How do developers capture issues without interrupting their flow?
The key is to capture the issue immediately without switching context mentally. Contextli lets you speak a quick voice note describing it and produces a review note from it. You can dictate while the issue is still on screen, then paste the formatted output into Jira, Linear, or GitHub Issues when you come up for air. No typing is required during the capture step.
Can I write a review note by talking instead of typing?
Yes. The Code Review Note context lets you speak a description in plain language and converts it into a structured review note with all the required fields filled. You speak the way you would explain it to a colleague, and the context handles the formatting.
How do I add this context to Contextli?
Copy the context on this page, then open Contextli and go to the Contexts page. Click Import, choose From JSON, paste it into the Import from Clipboard window, and click Import Context. It is ready to use in under 30 seconds. If you do not have Contextli yet, you can download it for free first.
Is my voice recording private? Does Contextli send it anywhere?
Your voice recording and the transcription are stored on your device only. Contextli processes your audio locally and does not send your recordings or transcription text to any server. The structured output it produces is text you control, and you decide where it goes.
Can I change what the output looks like?
Yes. Every context in Contextli is a starting point you can edit. Open the context in the app, change the instructions to adjust the structure, tone, or fields, and save. The next time you use it, the output reflects your changes. You are not locked into the default format.
Do I need to install an app to use this context?
Yes. Contextli is a free app. Download it, then copy this context and paste it into the Import from Clipboard window on the Contexts page. The whole process takes about 30 seconds.