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Several published examples contained APIs that no longer exist, code that does not run, or model versions that drifted from reality: - agents/performance-optimizer.md used the web-vitals v3 API (getCLS/getFID/getLCP/getFCP/getTTFB) and reported FID. web-vitals v4 renamed the imports to onCLS/onINP/onLCP/onFCP/onTTFB and FID was replaced by INP (target < 200ms) - rules/common/performance.md pinned stale model versions in the model-selection guidance; refresh to the versions the repo itself uses (agent.yaml pins claude-opus-4-6) and add the PowerShell variant for MAX_THINKING_TOKENS next to the bash export - skills/python-patterns/SKILL.md: both get_value examples referenced default_value without declaring the parameter (NameError); add default_value: Any = None to the EAFP and LBYL signatures - skills/frontend-patterns/SKILL.md: the custom useQuery example rebuilt refetch whenever callers passed inline fetchers/options, re-triggering the effect after every state update (infinite fetch loop). Keep the latest fetcher/options in refs so refetch stays referentially stable. The PASS-labelled useMemo example mutated its input with in-place sort; copy before sorting - skills/coding-standards/SKILL.md repeated the same PASS-labelled in-place-sort-in-useMemo example; same fix - rules/typescript/security.md used a vendor-specific OPENAI_API_KEY in generic guidance; switch to a neutral API_KEY Every hand-maintained copy of the affected content is synced in the same change: locale mirrors (ja-JP, ko-KR, pt-BR, tr, zh-CN, zh-TW - each only where it carries the affected file) and the .agents/.kiro/.cursor harness mirrors. Two structural divergences are left alone and noted here: .kiro/steering/performance.md has no extended-thinking control list to carry the PowerShell variant, and docs/zh-TW/rules/performance.md keeps an older condensed thinking section without the budget-cap line. rules/zh/performance.md is intentionally untouched - the rules/zh tree is being retired in a separate change
55 lines
1.4 KiB
Markdown
55 lines
1.4 KiB
Markdown
---
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inclusion: auto
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description: Performance optimization guidelines including model selection strategy, context window management, and build troubleshooting
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---
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# Performance Optimization
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## Model Selection Strategy
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**Claude Haiku 4.5** (90% of Sonnet capability, 3x cost savings):
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- Lightweight agents with frequent invocation
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- Pair programming and code generation
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- Worker agents in multi-agent systems
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**Claude Sonnet 4.6** (Best coding model):
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- Main development work
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- Orchestrating multi-agent workflows
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- Complex coding tasks
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**Claude Opus 4.6** (Deepest reasoning):
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- Complex architectural decisions
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- Maximum reasoning requirements
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- Research and analysis tasks
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## Context Window Management
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Avoid last 20% of context window for:
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- Large-scale refactoring
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- Feature implementation spanning multiple files
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- Debugging complex interactions
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Lower context sensitivity tasks:
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- Single-file edits
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- Independent utility creation
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- Documentation updates
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- Simple bug fixes
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## Extended Thinking
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Extended thinking is enabled by default in Kiro, reserving tokens for internal reasoning.
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For complex tasks requiring deep reasoning:
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1. Ensure extended thinking is enabled
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2. Use structured approach for planning
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3. Use multiple critique rounds for thorough analysis
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4. Use sub-agents for diverse perspectives
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## Build Troubleshooting
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If build fails:
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1. Use build-error-resolver agent
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2. Analyze error messages
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3. Fix incrementally
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4. Verify after each fix
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