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Codecanis Service

Claude Implementation

Claude API, Claude Code rollouts, sub-agents, MCP, and agentic workflows with permission gates.

Overview

What we do for you

Specialised practice for Claude — building production systems with Anthropic's Claude API, Claude Code, and agentic workflows. We help teams pick the right Claude model for each task (Opus for complex reasoning, Sonnet for balanced, Haiku for fast/cheap), set up tool use correctly, and design prompts that hold up under real production load.

Claude Code rollouts: getting engineering teams productive with Claude Code, configuring hooks, sub-agents, slash commands, MCP servers, and team-wide settings. We've shipped Claude Code into engineering orgs and know what makes adoption actually stick.

Agentic systems: when teams want Claude to take actions — not just answer questions — we design the permission model, audit logging, evaluation framework, and human-in-the-loop checkpoints that make autonomous AI safe to deploy.

What's included

  • Claude API integration — Opus, Sonnet, Haiku model selection
  • Tool use & function calling done right
  • Prompt engineering with versioning + evals
  • Claude Code rollout — hooks, sub-agents, MCP, settings
  • Agentic workflows with permission gates
  • Multi-turn conversations with proper memory architecture
  • Vision (image analysis) + PDF/document understanding
Capabilities

The specifics

Every engagement draws on a specific combination of these capabilities — applied by engineers who've done it in production.

Claude API Integration

Production-grade, with model selection per task.

Claude Code Rollout

Team adoption, hooks, sub-agents, MCP wiring.

Tool Use & Function Calling

Reliable tool invocations and error recovery.

Agentic Workflows

Permission gates, audit logs, human-in-the-loop.

Prompt Engineering & Evals

Versioned prompts, regression-tested.

Multi-modal Understanding

Vision + PDF + structured document parsing.

The stack

Tools chosen for the job,
not the trend.

Every technology decision in a Claude Implementation engagement is made against real constraints — performance targets, compliance requirements, team familiarity, and long-term maintainability. We'll tell you which choices are wrong for your situation.

Anthropic API Claude Opus Claude Sonnet Claude Haiku Claude Code MCP TypeScript Python Pydantic Zod Sentry
Ready to start

Start a
Claude Implementation
project

Tell us what you're building and what's blocking you. We'll be direct about whether we're the right team — and what a timeline and cost looks like.