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Updated
Implement OAuth 2.0 refresh tokens
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dev
Today
Rust async runtime comparison
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review
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Database N+1 query in user listing
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Redis caching layer spec
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Feature OAuth 2.0 Refresh Token Implementation ✓ Saved ✕

OAuth 2.0 Refresh Token Implementation

The current session expiry is causing friction for users in long work sessions. Need to implement silent refresh before the access token expires.

Key decisions:

Use httpOnly cookies for the refresh token
Rotate tokens on every use
Do not store tokens in localStorage

typescript
async function refreshIfExpired(req, next) {
  const token = req.headers['authorization'];
  if (isExpired(token)) { const fresh = await callRefreshEndpoint(); }
  return next(req);
}

See API Gateway Spec for the endpoint contract.

Research Rust async runtime comparison ✓ Saved
⬇ ✕

Rust Async Runtime Comparison

Evaluating Tokio vs async-std vs smol for the new microservices layer. Primary concerns: latency, ecosystem maturity, and Tauri compatibility.

Tokio

Work-stealing scheduler — excellent for I/O-heavy workloads
Used by Tauri internally — no runtime conflict
Largest ecosystem (reqwest, sqlx, axum)

async-std

Mirrors the std API — lower learning curve. Ecosystem smaller. Not recommended for this project given Tauri's Tokio dependency.

rust
// Tokio multi-thread is the default for Tauri
#[tokio::main]
async fn main() {
  tauri::Builder::default()
    .run(tauri::generate_context!())
    .unwrap();
}

Verdict: Tokio. See Microservices Migration Plan for next steps.

Feature OAuth 2.0 Refresh Tokens ✓ Saved ✕

OAuth 2.0 Refresh Token Implementation

Implement silent refresh before the access token expires to prevent session friction in long work sessions.

Use httpOnly cookies for the refresh token
Rotate tokens on every use
No localStorage

Research Rust async runtimes ✓ Saved
⬇ ✕

Rust Async Runtime Comparison

Evaluating Tokio vs async-std for the microservices layer.

Tokio: used by Tauri internally
No runtime conflict — clear winner.

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Structure

Everything starts
with a Branch.

Branches are your top-level containers. Think of them as projects, clients, or focus areas. Each one holds its own leaves, and you can have as many as you need. Drag to reorder. Click to filter. It stays out of the way until you need it.

  • Drag-and-drop reordering — arrange branches however your brain works.
  • Per-branch filtering — click a branch and see only what's inside it.
  • Live search counts — each branch shows how many results match as you type.
  • Color-coded identity — every branch gets a pastel color for instant recognition.
  • Unlimited branches — no cap. Build your whole workspace.
Leaf Note
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Dashboard
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Branches
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Dev Research7
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New Branch
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Database N+1 query in user listing
Bug blocked
Branch
Bug Reports
Priority
High
Tags
#db #performance #critical
Follow-up
Apr 18, 2026 · Tomorrow
Status
backlog → development → blocked ←
Comments
Confirmed on staging. The ORM is issuing a separate SELECT per user row. Need to add eager loading for the roles relationship.
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  • Workflow statuses across multiple stages: Idea, Pending, In-Progress, Paused, and Done.
  • Priority levels from None all the way to Critical, so important things stay visible.
  • Custom leaf types — Bug, Feature, Task, Docs, or anything you invent, each with its own color.
  • Hashtag-powered tags — type #tagname anywhere in your note and it syncs automatically.
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  • Comments — keep your thinking attached to the leaf, not buried in another app.
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Leaf Note
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Dashboard
All Leafs 51
Branches
Client Work
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All Branches ▾
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Past Due 1
Fix memory leak in worker pool Bug Reports 3 days ago
Today 2
Code review: OAuth middleware PR Client Work Today
Write up Rust async findings Dev Research Today
Tomorrow 1
Database N+1 query fix Bug Reports Tomorrow
This Week 2
Redis caching layer spec draft Dev Research Apr 21
Architecture review with Cecilia Meeting Notes Apr 22
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Database N+1 query in user listing
Bug Reports · #db #performance · blocked
blocked
✨
Implement OAuth 2.0 refresh tokens
Client Work · #auth #security · development
dev
📄
Redis caching layer spec
Dev Research · #redis #backend · planned
planned
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