Audio to Markdown for Cursor: Meeting Notes as Code Context
Most architectural decisions are made verbally: in a whiteboard session, a kickoff call, an unrecorded hallway argument that someone later types up badly. Transcribe the audio, convert to structured Markdown, drop into the repo as <code>docs/decisions/</code>. Cursor's indexer then treats the meeting as first-class context, and the AI writes code that reflects what the team actually decided.
The "transcribe the architecture meeting" workflow
You had a 45-minute call about how to structure the new event-driven module. Six people on the call, three competing proposals, a final decision in the last ten minutes. Without transcription, the decision survives as one engineer's memory and a stale Slack thread. With transcription to Audio to Markdown, you get a .md file with the reasoning preserved, the dissents recorded, and the final decision timestamped where it was taken.
Save the file as docs/decisions/2026-01-15-event-system.md. Cursor's indexer picks it up automatically. From that point, every Cursor chat in the workspace can quote from the meeting: "what did we decide about retry semantics in the kickoff?" returns the actual exchange, with timestamps.
ADR-style records derived from voice
Add a one-line preamble to each transcript: "This is an architecture-decision-record derived from the kickoff meeting on 2026-01-15. The final decision is summarised in the last section." Then add a .cursorrules entry: "For decisions about the event system, consult docs/decisions/2026-01-15-event-system.md." Cursor will autonomously read the relevant section before writing code that touches the system.
Have related PDFs (vendor docs, spec sheets) and reference URLs (RFC, blog post on the pattern)? Convert those too via PDF to Markdown for Cursor and URL to Markdown for Cursor: Cursor handles them all the same way.
Frequently asked questions
How does Cursor use a meeting transcript as context?
Cursor's workspace indexer reads every .md file in the repo. A converted meeting transcript is no different from hand-written documentation: it shows up in @-mentions, gets retrieved by Cursor's chat when relevant, and informs the AI's code suggestions when the topic comes up.
What's the right place in the repo for transcribed meetings?
A dedicated docs/decisions/ or docs/meetings/ folder, with date-prefixed filenames (2026-01-15-event-system.md). Keeps them out of code-search by default but visible to Cursor's indexer. Optionally add the folder to .cursorignore if you want to control retrieval more tightly.
Does this work for whiteboard sessions where people draw?
For the verbal decisions, yes: anything anyone said is in the transcript. For the diagrams themselves, take a photo or use the whiteboard tool's export. Reference the image alongside the transcript in the same Markdown file: . Cursor's vision-capable models can then describe the diagram on demand.
How do I keep architecture decisions traceable from code to meeting?
In the relevant code file, add a comment: // Architecture decision: see docs/decisions/2026-01-15-event-system.md. Cursor will surface that file when you ask about the code, and humans following the trail will land on the actual transcript with attribution.
Can the AI write code that reflects competing proposals from the meeting?
Yes: the transcript preserves both the chosen path and the dissents. Ask Cursor "implement the event system per the kickoff, and add comments about the alternatives we rejected and why." The AI quotes from the transcript and produces code that documents its own reasoning.