Files
cve-dashboard/.claude/optimization.md
jramos ba4d16396c Transform CVE Dashboard to tactical intelligence platform aesthetic
Implemented a sophisticated cyber-intelligence visual design with:

DESIGN DIRECTION:
- "Tactical Intelligence Command Center" aesthetic
- Typography: JetBrains Mono for data/code + Outfit for UI labels
- Color Palette: Deep navy (#0A0E27) base with electric cyan (#00D9FF) accents
- Visual Language: Grid patterns, glowing borders, scanning animations
- Motion: Smooth fade-ins, pulse effects, hover transformations

FRONTEND CHANGES:
- Redesigned App.css with comprehensive intelligence dashboard theme
- Custom CSS classes: intel-card, intel-button, intel-input, status-badge
- Added scanning line animations and pulse glow effects
- Implemented grid background pattern and scrollbar styling

COMPONENT UPDATES:
- App.js: Transformed all UI sections to intel theme
  - Header with stats dashboard
  - Search/filter cards
  - CVE list with expandable cards
  - Document management
  - Quick check interface
  - JIRA ticket tracking
- LoginForm.js: Redesigned authentication portal
- All modals: Add/Edit CVE, Add/Edit JIRA tickets

UI FEATURES:
- Monospace fonts for technical data
- Glowing accent borders on interactive elements
- Status badges with animated pulse indicators
- Data rows with hover states
- Responsive grid layouts
- Modal overlays with backdrop blur

TECHNICAL:
- Tailwind CSS extended with custom intel theme
- Google Fonts: JetBrains Mono & Outfit
- Maintained all existing functionality
- Build tested successfully
- No breaking changes to business logic

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-10 09:34:22 -07:00

4.6 KiB

OPTIMIZATION.md - Token Usage & Subagent Strategy

SUBAGENT USAGE STRATEGY

Subagents run in separate contexts and preserve main conversation tokens.

When to Use Subagents

Use Subagents for:

  • Large-scale codebase exploration and analysis
  • Complex multi-step investigations across many files
  • Detailed code pattern searches and refactoring analysis
  • Gathering comprehensive information before main conversation work
  • When total tokens would exceed 30,000 in main conversation

Keep in Main Conversation:

  • Direct file edits (1-3 files)
  • Simple code changes and debugging
  • Architecture decisions
  • Security reviews and approvals
  • User-facing responses and recommendations
  • Questions requiring reasoning about codebase
  • Frontend UI work (use frontend-design skill for new components)

Subagent Types & When to Use

Explore Agent (Haiku 3.5)

  • Codebase exploration and file discovery
  • Pattern searching across large codebases
  • Gathering information about file structure
  • Finding references and relationships

General-Purpose Agent (Haiku 3.5)

  • Multi-step code analysis tasks
  • Summarizing findings from exploration
  • Complex searches requiring multiple strategies
  • Collecting data for main conversation decisions

MODEL SELECTION STRATEGY

Main Conversation (Sonnet 4.5)

  • Always use Sonnet 4.5 in main conversation
  • Direct file edits and modifications
  • Architecture and design decisions
  • Security analysis and approvals
  • Complex reasoning and recommendations
  • Final user responses

Subagent Models

Haiku 4.5 (Default for subagents)

  • Code exploration and pattern searching
  • File discovery and structure analysis
  • Simple codebase investigations
  • Gathering information and summarizing
  • Task: Use Haiku first for subagent work

Sonnet 4.5 (For subagents - when needed)

  • Security-critical analysis within subagents
  • Complex architectural decisions needed in exploration
  • High-risk code analysis
  • When exploration requires advanced reasoning

RATE LIMITING GUIDANCE

API Call Throttling

  • 5 seconds minimum between API calls
  • 10 seconds minimum between web searches
  • Batch similar work whenever possible
  • If you hit 429 error: STOP and wait 5 minutes

Budget Management

  • Track tokens used across all agents
  • Main conversation should stay under 100,000 tokens
  • Subagent work can extend to 50,000 tokens per agent
  • Batch multiple subagent tasks together when possible

TOKEN PRESERVATION RULES

Best Practices for Long-Running Conversations

In Main Conversation:

  1. Start with subagent for exploration (saves ~20,000 tokens)
  2. Request subagent summarize findings
  3. Use summary to inform main conversation edits/decisions
  4. Keep main conversation focused on decisions and actions

Information Gathering:

  • Use subagents to explore before asking for analysis in main conversation
  • Have subagent provide condensed summaries (250-500 words max)
  • Main conversation uses summary + provides feedback/decisions

File Editing:

  • For <3 files: Keep in main conversation
  • For 3+ files: Split between subagent (finding/analysis) and main (approval/execution)
  • Simple edits (1-5 lines per file): Main conversation
  • Complex refactoring (10+ lines per file): Subagent analysis + main approval

Code Review Workflow:

  1. Subagent explores and analyzes code patterns
  2. Subagent flags issues and suggests improvements
  3. Main conversation reviews suggestions
  4. Main conversation executes approved changes

Token Budget Allocation Example

  • Main conversation: 0-100,000 tokens (soft limit)
  • Per subagent task: 0-50,000 tokens
  • Critical work (security): Use Sonnet in main conversation
  • Exploratory work: Use Explore agent (Haiku) in subagent

DECISION TREE

Is this a direct file edit request?
├─ YES (1-3 files, <10 lines each) → Main conversation
├─ NO
└─ Is this exploratory analysis?
   ├─ YES (finding files, patterns) → Use Explore agent (Haiku)
   ├─ NO
   └─ Is this complex multi-step work?
      ├─ YES (3+ steps, many files) → Use General agent (Haiku)
      ├─ NO
      └─ Is this security-critical?
         ├─ YES → Main conversation (Sonnet)
         └─ NO → Subagent (Haiku) or Main conversation

SUMMARY

Main Conversation (You): Architecture, decisions, edits, reviews Subagents: Exploration, analysis, information gathering Sonnet 4.5: Security, complexity, final decisions Haiku 4.5: Exploration, gathering, analysis support