Meeting transcription to coding tasks is the most time-consuming handoff in software development. contextprompt eliminates it. An AI bot joins your Zoom, Google Meet, Slack, or Teams call, records the conversation, scans your connected repositories, and produces structured coding tasks with real file paths and implementation steps in minutes.
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Engineering teams lose an average of 30 minutes per meeting translating discussions into actionable tickets. Most of that context never makes it to the codebase.
Someone takes notes during the meeting, but those notes are vague summaries. "Update the auth flow" becomes a ticket with no file paths, no steps, and no reference to what was actually said. The developer assigned to it has to ask three follow-up questions before they can start.
By the time someone creates the Jira ticket, key details are gone. Which component did the PM mean? What did the designer say about the edge case? The 90 seconds of discussion that matter are buried in a 45-minute recording nobody will replay.
Teams spend 15-30 minutes after every planning meeting writing tickets. Multiply that across 4-5 meetings per week and you lose an entire workday each sprint just on administrative overhead that adds no value to the product.
contextprompt connects meeting transcription directly to your codebase, producing tasks that reference real files and include implementation steps.
Unlike generic meeting tools that produce summaries and action items, contextprompt extracts structured coding tasks. Each task includes a title, description, affected file paths, implementation steps, and a confidence level. The output is designed for developers, not project managers.
contextprompt scans your connected repositories for file paths, exports, function signatures, and types. When someone says "the auth middleware," it maps that to src/middleware/auth.ts because it knows your codebase. No more guessing which files a task touches.
Every extracted task includes the exact transcript quote that prompted it, attributed to the speaker. When a developer needs to understand why a task exists, the original context is right there. No need to replay a 45-minute recording.
From meeting link to structured coding tasks in four steps.
Add your project repositories. contextprompt scans the file tree, exports, function signatures, and types to build a map of your codebase. This takes seconds and uses no storage on your end.
Drop a Zoom, Google Meet, Slack, or Teams link into the contextprompt dashboard. The AI bot joins your call as a participant, records the audio, and transcribes the conversation with speaker attribution.
After the meeting ends, contextprompt cross-references the transcript against your repo map. It identifies coding tasks, maps them to real file paths, generates implementation steps, and assigns confidence levels.
One-click copy any task with full context. Paste it into Claude Code, Cursor, Copilot, or any AI coding assistant. The structured format with file paths and steps means the AI tool can start implementing immediately.
“We used to spend 20 minutes after every standup writing tickets. Now I paste the link, it joins the meeting, and the tasks are ready before I finish my coffee.”
Start converting meeting transcriptions to tasks for free. Upgrade when you need more hours.
1 hour/month of recording
Repo-aware task extraction
All meeting platforms
15 hours/month of recording
GitHub issue integration
Priority support
Free plan includes 1 hour/month. No credit card required.