WI

windsurf-load-scale

Offers strategies for scaling Windsurf usage in teams of 50+ developers by managing monorepo workspaces and performance configuration.

Install

mkdir -p .claude/skills/windsurf-load-scale && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/7102" && unzip -o skill.zip -d .claude/skills/windsurf-load-scale && rm skill.zip

Installs to .claude/skills/windsurf-load-scale

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Scale Windsurf adoption across large organizations with workspace strategies
76 charsno explicit “when” trigger
Advanced

Key capabilities

  • Partition large monorepos into sub-workspaces
  • Distribute configuration templates across teams
  • Implement credit budgeting for large organizations
  • Configure network endpoints for enterprise environments
  • Automate onboarding and extension management

How it works

It provides architectural patterns for partitioning large codebases into smaller sub-workspaces and distributing standardized configuration files to ensure consistent performance.

Inputs & outputs

You give it
Organizational structure and monorepo file layout
You get back
Partitioned workspace strategy and configuration distribution scripts

When to use windsurf-load-scale

  • Scale Windsurf in large teams
  • Manage large monorepo performance
  • Partition development workspaces
  • Plan enterprise-scale IDE deployment

About this skill

Windsurf Load & Scale

Overview

Strategies for deploying Windsurf AI IDE across large organizations (50-1000+ developers). Covers workspace partitioning for monorepos, configuration distribution, credit budgeting, and performance at scale.

Prerequisites

  • Windsurf Teams or Enterprise plan
  • Admin dashboard access
  • Understanding of team structure and repository layout
  • Network/IT involvement for enterprise features

Instructions

Step 1: Workspace Strategy for Large Codebases

# Windsurf performance degrades with workspace size
# Cascade context quality inversely correlates with file count

workspace_sizing:
  optimal: "<5,000 files — fast indexing, precise Cascade context"
  acceptable: "5,000-20,000 files — add .codeiumignore, expect slower indexing"
  problematic: "20,000+ files — must partition into sub-workspaces"
  unworkable: "100,000+ files at root — Cascade context diluted, indexing very slow"

# Strategy: one Windsurf window per service/package
# Each developer opens their assigned service directory

Step 2: Monorepo Partitioning

# Large monorepo (100K+ files)
company-monorepo/
├── .windsurfrules              # Brief shared conventions only
├── .codeiumignore              # Aggressive: exclude EVERYTHING except src
├── apps/
│   ├── web-app/                # Developer A opens this window
│   │   ├── .windsurfrules      # Next.js-specific AI context
│   │   └── .codeiumignore      # Local exclusions
│   ├── mobile-app/             # Developer B opens this window
│   │   ├── .windsurfrules      # React Native context
│   │   └── .codeiumignore
│   └── admin-portal/           # Developer C opens this window
│       ├── .windsurfrules
│       └── .codeiumignore
├── services/
│   ├── api-gateway/            # Backend team opens individual services
│   ├── auth-service/
│   ├── payment-service/
│   └── notification-service/
├── packages/
│   └── shared-types/           # Library maintainer opens this
└── infrastructure/
    └── terraform/              # DevOps opens this

Rule: Never open the monorepo root in Windsurf. Each developer opens their service directory.

Step 3: Configuration Distribution at Scale

# Central config repo for team-wide standards
windsurf-config/
├── templates/
│   ├── windsurfrules/
│   │   ├── nextjs.md           # Template for Next.js projects
│   │   ├── fastify.md          # Template for Fastify APIs
│   │   ├── react-native.md     # Template for mobile apps
│   │   └── shared-library.md   # Template for shared packages
│   ├── codeiumignore/
│   │   ├── node-project.ignore
│   │   ├── python-project.ignore
│   │   └── go-project.ignore
│   └── workflows/
│       ├── deploy-staging.md
│       ├── pr-review.md
│       └── quality-check.md
├── scripts/
│   ├── setup-windsurf.sh       # Onboarding script
│   └── sync-config.sh          # Distribute updates
└── README.md

Sync script:

#!/bin/bash
set -euo pipefail
# scripts/sync-config.sh — run from monorepo root

TEMPLATE_DIR="/path/to/windsurf-config/templates"

for service_dir in apps/*/  services/*/; do
  [ -d "$service_dir" ] || continue
  SERVICE=$(basename "$service_dir")

  # Copy .codeiumignore if missing
  [ -f "$service_dir/.codeiumignore" ] || \
    cp "$TEMPLATE_DIR/codeiumignore/node-project.ignore" "$service_dir/.codeiumignore"

  # Copy shared workflows
  mkdir -p "$service_dir/.windsurf/workflows"
  cp "$TEMPLATE_DIR/workflows/"*.md "$service_dir/.windsurf/workflows/" 2>/dev/null || true

  echo "Synced: $SERVICE"
done

Step 4: Credit Budgeting at Scale

# Credit planning for large teams
credit_budget:
  team_size: 100

  tier_allocation:
    power_users: 20       # Pro: heavy Cascade users (senior devs, architects)
    regular_users: 50     # Pro: daily Supercomplete + occasional Cascade
    light_users: 20       # Free: reviewers, designers, PMs with code access
    contractors: 10       # Free: temporary, limited AI needs

  monthly_cost:
    pro_seats: 70 x $30 = $2,100
    free_seats: 30 x $0 = $0
    total: $2,100/month

  vs_alternative:
    cursor_equivalent: 70 x $20 = $1,400  # But fewer features
    copilot_equivalent: 100 x $19 = $1,900  # No agentic features

  optimization:
    quarterly_review: "Audit usage, downgrade inactive seats"
    training_program: "Monthly 30-min workshop for new features"
    workflow_investment: "Build team workflows to reduce per-user credit waste"

Step 5: Enterprise Network Configuration

# IT/Network team requirements
network_config:
  endpoints_to_whitelist:
    - "*.codeium.com"          # AI inference
    - "*.windsurf.com"         # Auth, updates, admin portal
    - "windsurf.com"           # Downloads, documentation

  proxy_support:
    http_proxy: "${HTTP_PROXY}"
    https_proxy: "${HTTPS_PROXY}"
    no_proxy: "localhost,127.0.0.1,.internal.company.com"
    # Set via Windsurf Settings or environment variables

  deployment_modes:
    cloud: "Standard — code context sent to Codeium cloud"
    hybrid: "Code stays local, only prompts sent to cloud"
    self_hosted: "Everything on-prem (Enterprise plan required)"

Step 6: Onboarding Automation

#!/bin/bash
set -euo pipefail
# Large-team onboarding script

echo "=== Windsurf Team Onboarding ==="

# 1. Install Windsurf
if ! command -v windsurf &>/dev/null; then
  echo "Installing Windsurf..."
  brew install --cask windsurf 2>/dev/null || {
    echo "Download from: https://windsurf.com/download"
    exit 1
  }
fi

# 2. Import existing editor settings
echo "Importing VS Code settings..."
windsurf 2>/dev/null &  # First launch imports settings
sleep 3
kill %1 2>/dev/null || true

# 3. Install approved extensions
EXTENSIONS=(
  "esbenp.prettier-vscode"
  "dbaeumer.vscode-eslint"
  "biomejs.biome"
)
for ext in "${EXTENSIONS[@]}"; do
  windsurf --install-extension "$ext" 2>/dev/null
done

# 4. Disable conflicting extensions
CONFLICTS=("github.copilot" "tabnine.tabnine-vscode")
for ext in "${CONFLICTS[@]}"; do
  windsurf --disable-extension "$ext" 2>/dev/null || true
done

# 5. Set team config
echo "Configuring team settings..."
echo ""
echo "Complete. Next steps:"
echo "1. Open your service directory in Windsurf (not monorepo root)"
echo "2. Sign in with company SSO when prompted"
echo "3. Verify .windsurfrules exists in your service directory"

Error Handling

IssueCauseSolution
Indexing slow across teamLarge workspacesPartition into sub-workspaces per service
Config drift between servicesNo central templatesImplement sync-config.sh script
Credit overspendNo budgetingImplement tier allocation, quarterly review
Network blocking WindsurfFirewall rulesWhitelist .codeium.com and.windsurf.com
Inconsistent AI suggestionsDifferent .windsurfrulesUse central template repository

Examples

Quick Team Health Dashboard

echo "=== Team Windsurf Health ==="
echo "Services with .windsurfrules:"
find . -maxdepth 3 -name ".windsurfrules" | wc -l
echo "Services with .codeiumignore:"
find . -maxdepth 3 -name ".codeiumignore" | wc -l
echo "Services without config (needs fix):"
for d in apps/* services/*; do
  [ -d "$d" ] || continue
  [ -f "$d/.windsurfrules" ] || echo "  MISSING: $d/.windsurfrules"
done

Resources

Next Steps

For reliability patterns, see windsurf-reliability-patterns.

When not to use it

  • When implementing reliability patterns (use windsurf-reliability-patterns instead)

Prerequisites

Windsurf Teams or Enterprise planAdmin dashboard accessUnderstanding of team structure and repository layout

Limitations

  • Requires developers to open service-specific subdirectories rather than the monorepo root

How it compares

It specifically addresses the performance degradation caused by large file counts in IDE indexing, which generic scaling advice ignores.

Compared to similar skills

windsurf-load-scale side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
windsurf-load-scale (this skill)127dReviewAdvanced
software-architecture3336moNo flagsIntermediate
architect-review1094moNo flagsAdvanced
mcp-builder1363moReviewAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

More by jeremylongshore

View all by jeremylongshore

analyzing-logs

jeremylongshore

Analyze application logs to detect performance issues, identify error patterns, and improve stability by extracting key insights.

14123

ollama-setup

jeremylongshore

Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: "install ollama", "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

1167

backtesting-trading-strategies

jeremylongshore

Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".

1071

generating-database-seed-data

jeremylongshore

Process this skill enables AI assistant to generate realistic test data and database seed scripts for development and testing environments. it uses faker libraries to create realistic data, maintains relational integrity, and allows configurable data volumes. u... Use when working with databases or data models. Trigger with phrases like 'database', 'query', or 'schema'.

1033

cursor-codebase-indexing

jeremylongshore

Execute set up and optimize Cursor codebase indexing. Triggers on "cursor index setup", "codebase indexing", "index codebase", "cursor semantic search". Use when working with cursor codebase indexing functionality. Trigger with phrases like "cursor codebase indexing", "cursor indexing", "cursor".

885

testing-mobile-apps

jeremylongshore

Execute mobile app testing on iOS and Android devices/simulators. Use when performing specialized testing. Trigger with phrases like "test mobile app", "run iOS tests", or "validate Android functionality".

810

You might also like

software-architecture

davila7

Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.

333868

architect-review

sickn33

Master software architect specializing in modern architecture patterns, clean architecture, microservices, event-driven systems, and DDD. Reviews system designs and code changes for architectural integrity, scalability, and maintainability. Use PROACTIVELY for architectural decisions.

109320

mcp-builder

anthropics

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

136215

solid-principles

SmidigStorm

Enforce SOLID principles (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion) in object-oriented design. Use when writing or reviewing classes and modules.

57236

codex

Lucklyric

Invoke Codex CLI for complex coding tasks requiring high reasoning capabilities. This skill should be invoked when users explicitly mention "Codex", request complex implementation challenges, advanced reasoning, or need high-reasoning model assistance. Automatically triggers on codex-related requests and supports session continuation for iterative development.

32238

architecture-patterns

wshobson

Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.

55214

Search skills

Search the agent skills registry