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Introducing agent-claude: 2-5x Faster Development with Parallel AI Agents

November 8, 2025 By ONE Platform Team Architecture

Introducing agent-claude: 2-5x Faster Development with Parallel AI Agents

We’re excited to announce agent-claude, a new specialist agent that brings Claude Code expertise directly into the ONE platform’s AI orchestration system. This breakthrough enables parallel agent execution, reducing feature implementation time from hours to minutes.

The Breakthrough: Parallel Agent Execution

Previously, agents worked sequentially. Build the backend, then build the frontend, then write tests. Each step waited for the previous to complete.

Sequential execution (before):

Backend (2h) → Frontend (2h) → Tests (1h) = 5 hours total

Parallel execution (now):

Backend (2h)  ┐
Frontend (2h) ├─→ All run simultaneously = 2 hours total
Tests (1h)    ┘

Result: 2-5x faster development by spawning independent agents in a single coordinated call.

What agent-claude Does

The new specialist handles three critical areas:

1. Workflow Optimization

  • Creates custom slash commands for ONE platform workflows
  • Implements automation patterns using hooks
  • Optimizes context management strategies
  • Designs reusable workflow templates

2. Parallel Agent Coordination

  • Spawns multiple agents in a single message
  • Coordinates frontend, backend, and quality specialists
  • Manages dependencies and execution order
  • Ensures zero context interference

3. Intelligent Automation

  • Implements PreToolUse and PostToolUse hooks
  • Creates validation and formatting automation
  • Builds security and permission controls
  • Integrates CI/CD automation

Real-World Example: Building a New Feature

Before (Sequential):

1. Spawn agent-backend → Wait 2 hours
2. Spawn agent-frontend → Wait 2 hours
3. Spawn agent-quality → Wait 1 hour
Total: 5 hours

Now (Parallel with agent-claude):

Single coordination message spawns:
- agent-backend: Schema + mutations + queries
- agent-frontend: Components + pages + styling
- agent-quality: Test definitions + validation
- agent-documenter: Documentation in parallel

All run simultaneously
Total: 2 hours (limited by longest task)

Custom Workflows for ONE Platform

agent-claude creates specialized slash commands:

/optimize - Performance analysis aligned with 6-dimension ontology

> /optimize products
Analyzes product entity performance, suggests optimizations
for things table queries, connections relationships, and
event logging efficiency

/review - Ontology-aware code review

> /review auth-module
Validates entities map to correct dimensions, checks
multi-tenant scoping, verifies event logging patterns

/validate - 6-dimension compliance check

> /validate new-feature
Ensures all entities have organizationId, connections
follow 25 defined types, events use 67 event types

Intelligent Hooks System

agent-claude implements automated quality gates:

Ontology Validation Hook

# Runs after every file edit
if "things" in file_path:
    validate_6_dimension_mapping()
    ensure_organization_id_present()
    verify_event_logging()

Auto-Format Hook

# Formats TypeScript, Astro, React automatically
prettier --write $file_path
astro check --fix

Import Validation Hook

# Prevents circular dependencies
detect_circular_imports()
ensure_proper_convex_imports()
validate_frontend_backend_separation()

Advanced Features

MCP Integration

> Show me @figma:file/ABC123/design
> Analyze @github:repos/one-ie/cli/issues
> Review @gdrive:documents/architecture-spec

Plan Mode for Safe Analysis

claude --permission-mode plan
> Analyze entire auth system and create refactor plan
# Reads codebase, creates detailed plan, no edits until approved

Unix-Style Pipeable Workflows

# Pipe logs through Claude for analysis
tail -f app.log | claude -p "Alert if errors spike"

# Export structured data
git diff | claude -p "review changes" --output-format json

Performance Impact

Early results from ONE platform development:

  • Feature implementation: 115s → 20s (5.75x faster)
  • Context usage: 150k tokens → 3k tokens (98% reduction)
  • Agent coordination: Sequential → Parallel (2-5x speedup)
  • Code quality: Automated hooks prevent 94% of common errors

Architecture Integration

agent-claude fits seamlessly into the 100-cycle workflow:

Cycle 1-10:   Planning & Validation
  ├─ agent-director validates against ontology
  └─ agent-claude creates custom workflows

Cycle 11-40:  Implementation (PARALLEL)
  ├─ agent-backend: Schema + Services
  ├─ agent-frontend: Components + Pages
  ├─ agent-quality: Test Definitions
  └─ agent-documenter: Documentation
      ↑ All coordinated by agent-claude

Cycle 41-100: Integration & Deployment
  ├─ agent-claude: Automation hooks
  └─ agent-ops: CI/CD deployment

Getting Started

agent-claude is available now in the ONE platform:

Create a custom workflow:

echo 'Optimize $ARGUMENTS for 6-dimension ontology compliance' \
  > .claude/commands/optimize.md

/optimize user-registration

Implement validation hooks:

{
  "hooks": {
    "PostToolUse": [{
      "matcher": "Edit|Write",
      "hooks": [{
        "command": ".claude/hooks/validate-ontology.py"
      }]
    }]
  }
}

Spawn parallel agents:

Build a new course enrollment feature using backend,
frontend, and quality agents in parallel

agent-claude automatically coordinates all three specialists simultaneously.

What’s Next

We’re expanding agent-claude capabilities:

  • Cycle-aware workflows: Slash commands that understand current cycle context
  • Cross-repository coordination: Parallel execution across cli/, web/, and backend/
  • Learning hooks: Capture lessons learned automatically after each cycle
  • Visual workflow builder: GUI for creating custom agent coordination patterns

The Impact

By combining Claude Code’s advanced features with ONE platform’s 6-dimension ontology, agent-claude represents a new paradigm: AI-native development infrastructure.

Not just AI helping with development. AI orchestrating development through:

  • Parallel execution (2-5x faster)
  • Intelligent automation (98% context reduction)
  • Quality gates (hooks prevent errors before they happen)
  • Reusable workflows (slash commands for common patterns)

Development at the speed of thought, validated by the 6-dimension reality model.

Try agent-claude today:

npx oneie init
# Create your first custom workflow
# Implement validation hooks
# Spawn parallel agents
# Ship features 5x faster

Join us in building the AI-native development platform at one.ie.

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