🤗 Enterprise Coding Model Optimization (Claude Code, Antigravity & Codex)

1. Service Overview & Scope

• AI Tooling Stack Configuration & Tuning:
  • Custom configuration, system rules, repomaps, and custom skill scripts for Claude Code, Google Antigravity IDE & CLI, OpenAI Codex, and OpenCode.
  • Designing repository-level instruction files (`AGENTS.md`, `.cursorrules`, skill files) that give coding assistants full codebase comprehension.
  • Custom Model Context Protocol (MCP) servers connecting coding assistants to internal CI/CD, issue trackers, and database schemas.
• AI Test-Driven Development (TDD) Mastery:
  • Training software engineering teams to adopt strict AI TDD workflows: writing rigorous test specifications first, then letting AI generate verified implementations.
  • Eliminating code hallucinations by making automated unit test passes the non-negotiable exit condition for AI-generated code.
  • Techniques for refactoring complex codebases with AI agent teams, generating comprehensive regression suites, and automating test coverage.
• Pair Programming & Workflow Acceleration:
  • Live pair programming intensives demonstrating high-velocity feature delivery and automated debugging.
  • Teaching engineers how to decompose complex architectural changes into bite-sized, verifiable AI instructions.

2. Standard Architecture & Tools

• Supported Coding Assistants:
  • Claude Code CLI, Google Antigravity (IDE & agy CLI), OpenAI Codex / GitHub Copilot, OpenCode, and Cursor.
  • Local coding models: Qwen 2.5 Coder (32B/7B), DeepSeek Coder V2, and StarCoder2.
• Testing & Verification Frameworks:
  • pytest, cargo test, Jest / Vitest, Go test, and Docker ephemeral test containers.
  • Invariant test harnesses and automated property-based testing (Hypothesis, proptest).
• Repository Context Tools:
  • Model Context Protocol (MCP) developer servers, Tree-sitter AST parsers, and custom AGY skill libraries.

3. Deliverable Examples

1. Repository AI-Readiness Guide & Rules Package:
   • Tailored `AGENTS.md`, customized coding rules, linting configurations, sample code guides, and pre-commit test hooks for your repository.
2. AI TDD Engineering Bootcamp Curriculum:
   • Hands-on workshop slides, recorded demonstration sessions, and interactive coding exercises for developer teams.
3. Automated PR Review & Verification Harness:
   • Sample GitHub Actions workflow using AI coding tools to verify pull requests against unit test suites and architectural guidelines.

4. Guarantees & Commitments

• Measurable Productivity Uplift: Verified acceleration in engineering velocity and measurable increase in automated test coverage.
• Zero Proprietary Code Exfiltration: Strict privacy guidelines ensuring client code is never used for external public model training.
• 14-Day Engineering Post-Training Support: Async pair programming and debugging assistance for engineers applying the workflows.

5. Investment & Pricing Quote

1. Base Investment Range: $2,000 – $4,000 USD (per engineering team workshop series or repository optimization).
2. Purchasing Power Parity (PPP) & Custom Pricing Tiers:
   • Adjustments available via Purchasing Power Parity (Tier 1: 100%, Tier 2: 75%, Tier 3: 50%). Tier 4 startup discount (50%) and Tier 5 custom pricing available on request for non-profits, educational institutions, and bootstrapped startups. Inquire during intake.
3. Payment Schedule:
   • 50% upfront milestone initialization / 50% upon completed delivery, runtime verification, and client sign-off.