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- Introduced a new markdown file outlining a mandatory 3-pass verification process for code completion, focusing on correctness, edge cases, and maintainability. - Updated the AgentInfoPanel to display a todo list for non-backlog features, ensuring users can see the agent's current tasks. - Enhanced the AgentOutputModal to support a summary view, extracting and displaying summary content from raw log output. - Improved the log parser to extract summaries from various formats, enhancing the overall user experience and information accessibility.
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Caution Review failedFailed to post review comments 📝 WalkthroughWalkthroughThis pull request introduces a comprehensive Ideation feature for brainstorming and idea management. The implementation includes a backend service for managing sessions, ideas, project analysis, and AI-driven suggestions; API routes for CRUD and workflow operations; frontend UI components and store for state management; type definitions for the ideation domain; and platform utilities for data persistence. Concurrently, it removes the earlier feature-suggestions dialog and replaces it with the new ideation system. Changes
Sequence Diagram(s)sequenceDiagram
actor User
participant UI as UI / IdeationView
participant Store as Ideation Store
participant HTTP as HTTP API Client
participant Server as IdeationService
participant AI as AI Provider
participant FS as File Storage
User->>UI: Select "Start Session"
activate UI
UI->>HTTP: startSession(projectPath, options)
activate HTTP
HTTP->>Server: POST /api/ideation/session/start
activate Server
Server->>Server: Validate projectPath
Server->>Server: Load project context
Server->>FS: Initialize session files
Server->>AI: Begin message stream
activate AI
Server-->>HTTP: { success: true, session }
deactivate Server
HTTP-->>UI: { success: true, session }
deactivate HTTP
UI->>Store: setSelectedJob, setIsGenerating
UI-->>User: Show session UI & input
User->>UI: Send message
UI->>HTTP: sendMessage(sessionId, message)
activate HTTP
HTTP->>Server: POST /api/ideation/session/message
activate Server
Server->>AI: Stream message + context
loop AI Response Stream
AI-->>Server: Message chunk
Server-->>HTTP: Event (ideation:stream)
HTTP-->>UI: Real-time update
UI->>Store: Update message state
UI-->>User: Show assistant response
end
deactivate AI
deactivate Server
deactivate HTTP
User->>UI: Accept idea / Generate suggestions
UI->>HTTP: generateSuggestions(projectPath, promptId, category, count)
activate HTTP
HTTP->>Server: POST /api/ideation/suggestions/generate
activate Server
Server->>AI: Stream suggestions (with system prompt + context)
activate AI
loop Progress Events
AI-->>Server: Partial suggestions
Server-->>HTTP: Event (ideation:suggestions)
HTTP-->>UI: Progress update
UI->>Store: appendSuggestionsToJob
UI-->>User: Show generating progress
end
deactivate AI
Server->>FS: Persist analysis + suggestions cache
Server-->>HTTP: { success: true, suggestions }
deactivate Server
HTTP-->>UI: Suggestions ready
deactivate HTTP
UI->>Store: updateJobStatus('ready', suggestions)
UI-->>User: Display suggestion list with cards
User->>UI: Accept suggestion as feature
UI->>HTTP: addSuggestionToBoard(projectPath, suggestion)
activate HTTP
HTTP->>Server: POST /api/ideation/add-suggestion
activate Server
Server->>Server: Map suggestion category → feature category
Server->>Server: Create feature with backlog status
Server->>FS: Persist feature
Server-->>HTTP: { success: true, featureId }
deactivate Server
HTTP-->>UI: Feature created
deactivate HTTP
UI->>Store: removeSuggestionFromJob
UI-->>User: Show success, remove suggestion card
Estimated code review effort🎯 4 (Complex) | ⏱️ ~50 minutes Possibly related PRs
Suggested labels
Suggested reviewers
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Pre-merge checks and finishing touches❌ Failed checks (2 warnings)
✅ Passed checks (1 passed)
✨ Finishing touches
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Contributor
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Code Review
This pull request introduces a new summary view for agent outputs and improves the parsing and display of todo lists. The changes include adding a 'Summary' tab to the agent output modal, which greatly improves usability by providing a concise overview of the agent's work. The logic for extracting todos from agent logs has been significantly refactored for better robustness, and a new todo list is now displayed on Kanban cards for better visibility. Overall, these are excellent enhancements. I have one minor suggestion to improve the new todo list rendering in React.
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| if (!showAgentInfo && feature.status !== 'backlog' && agentInfo && agentInfo.todos.length > 0) { | ||
| return ( | ||
| <div className="mb-3 space-y-1 overflow-hidden"> | ||
| <div className="flex items-center gap-1 text-[10px] text-muted-foreground/70"> | ||
| <ListTodo className="w-3 h-3" /> | ||
| <span> | ||
| {agentInfo.todos.filter((t) => t.status === 'completed').length}/ | ||
| {agentInfo.todos.length} tasks | ||
| </span> | ||
| </div> | ||
| <div className="space-y-0.5 max-h-24 overflow-y-auto"> | ||
| {agentInfo.todos.map((todo, idx) => ( | ||
| <div key={idx} className="flex items-center gap-1.5 text-[10px]"> | ||
| {todo.status === 'completed' ? ( | ||
| <CheckCircle2 className="w-2.5 h-2.5 text-[var(--status-success)] shrink-0" /> | ||
| ) : todo.status === 'in_progress' ? ( | ||
| <Loader2 className="w-2.5 h-2.5 text-[var(--status-warning)] animate-spin shrink-0" /> | ||
| ) : ( | ||
| <Circle className="w-2.5 h-2.5 text-muted-foreground/50 shrink-0" /> | ||
| )} | ||
| <span | ||
| className={cn( | ||
| 'break-words hyphens-auto line-clamp-2 leading-relaxed', | ||
| todo.status === 'completed' && 'text-muted-foreground/60 line-through', | ||
| todo.status === 'in_progress' && 'text-[var(--status-warning)]', | ||
| todo.status === 'pending' && 'text-muted-foreground/80' | ||
| )} | ||
| > | ||
| {todo.content} | ||
| </span> | ||
| </div> | ||
| ))} | ||
| </div> | ||
| </div> | ||
| ); | ||
| } |
Contributor
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There are a couple of improvements that can be made here for performance and to follow React best practices:
-
Key Prop: Using the array index
idxas akeyis an anti-pattern in React, as it can lead to unpredictable UI behavior if the list is re-ordered. It's better to use a unique and stable identifier. Sincetodoitems don't seem to have a unique ID, we can use thecontentcombined with the index for a more stable key, assuming content is mostly unique. -
Performance & Readability: The number of completed todos is calculated inline within the JSX. This can be calculated once before the return statement for slightly better performance and improved code readability.
Here's a suggested refactoring that addresses both points:
if (!showAgentInfo && feature.status !== 'backlog' && agentInfo && agentInfo.todos.length > 0) {
const completedCount = agentInfo.todos.filter((t) => t.status === 'completed').length;
return (
<div className="mb-3 space-y-1 overflow-hidden">
<div className="flex items-center gap-1 text-[10px] text-muted-foreground/70">
<ListTodo className="w-3 h-3" />
<span>
{completedCount}/{agentInfo.todos.length} tasks
</span>
</div>
<div className="space-y-0.5 max-h-24 overflow-y-auto">
{agentInfo.todos.map((todo, idx) => (
<div key={`${idx}-${todo.content}`} className="flex items-center gap-1.5 text-[10px]">
{todo.status === 'completed' ? (
<CheckCircle2 className="w-2.5 h-2.5 text-[var(--status-success)] shrink-0" />
) : todo.status === 'in_progress' ? (
<Loader2 className="w-2.5 h-2.5 text-[var(--status-warning)] animate-spin shrink-0" />
) : (
<Circle className="w-2.5 h-2.5 text-muted-foreground/50 shrink-0" />
)}
<span
className={cn(
'break-words hyphens-auto line-clamp-2 leading-relaxed',
todo.status === 'completed' && 'text-muted-foreground/60 line-through',
todo.status === 'in_progress' && 'text-[var(--status-warning)]',
todo.status === 'pending' && 'text-muted-foreground/80'
)}
>
{todo.content}
</span>
</div>
))}
</div>
</div>
);
}
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