ContextliContextli

Developers Β· Technical Spec Note

Talk a design into a spec skeleton.

Who this is for

Engineers who solve the design in their head but stall on turning it into a written spec everyone can review.

The moment this saves you

I've solved the design in my head on the walk home, then I sit down to write the spec and the blank doc kills all my momentum, so the doc never gets written and the context stays trapped in my head.

See it work

Messy spoken thought in. A clean, structured artifact out.

What you said

Okay let me talk through the spec for the notifications system. The problem is right now notifications are sent inline and synchronously, which is slow and fragile. The approach I'm thinking is an event bus, services publish events, a notification worker subscribes and handles delivery. The main tradeoff is added infra complexity, we'd need to run the bus, but we get decoupling and retries for free. Open questions, do we use the existing Redis or bring in something like Kafka, and how do we handle notification preferences, per user or per event type. I'm leaning Redis to start. Out of scope for v1 is digesting and batching notifications.

technical-spec-note.md

Spec: Notifications system

  • Problem: Notifications are sent inline and synchronously, slow and fragile.
  • Proposed approach: Event bus. Services publish events; a notification worker subscribes and handles delivery.
  • Tradeoffs: Added infra complexity (running the bus) in exchange for decoupling and free retries.
  • Open questions:

- Existing Redis vs introducing Kafka? (leaning Redis to start) - Notification preferences: per user or per event type?

  • Out of scope (v1): Digesting and batching notifications

The workflow

1

Record a voice note

Hit the hotkey and talk, no formatting, no typing.

2

Tag it with this context

Contextli shapes your words into the structured output above.

3

Find it later

Everything's searchable and organised by context.

4

Pull it into Claude or ChatGPT

Bring your contexts straight into your AI tools with the Contextli MCP.

Your raw recording and transcription stay on your device, so you can always go back to the original.

The prompt behind this context

system prompt

I'm going to talk through a technical design or spec. Turn it into a spec skeleton with: a bold Title, then labeled sections: Problem (what we're solving), Proposed approach (the design, in my framing), Tradeoffs (what we gain and what gets harder), Open questions (a bullet list of the unresolved decisions, keeping my lean if I state one), and Out of scope (only if I mention what's excluded). Keep my technical reasoning and any leanings exactly. Don't invent approaches, tradeoffs, or decisions I didn't raise. Output only the skeleton.

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

One tap adds it to your clipboard. Open Contextli and paste to add it.

Next, open Contextli, Contexts, Import, paste.

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

Browse more

Technical Spec Note