We help engineering teams adopt Claude Code with a structured onboarding process covering installation, repository setup, access patterns, coding workflows, and initial use cases.
We create and configure CLAUDE.md and project memory files that give Claude Code the context it needs to follow your team's coding standards, architecture rules, conventions, and development practices.
We connect Claude Code with your development stack through custom agents, MCP integrations, and tools such as databases, issue trackers, repositories, and internal services.
We implement engineering guardrails and CI automation to help ensure AI-generated code meets your team's standards through testing, linting, code-quality checks, security scanning, and review workflows.
We train your engineers to use Claude Code effectively, covering practical workflows, prompting patterns, code review, responsible AI use, and when to rely on human engineering judgment.
Our engineering org uses Claude Code every day, with a real enforcement framework behind it. We teach what we practice, not theory from a blog post.
Twelve years of shipping production software across TypeScript, Python, React, Flutter, and Swift. We understand the codebases you are asking AI to work in.
We tailor every setup to your stack and your rules. The guardrails reflect how your team works, not a generic checklist.
A Kochi-based team and the cost advantage that comes with it. The engineering bar stays at the level our international clients expect.
Tell us how your team works today and where Claude Code is falling short. We will show you what a proper setup looks like and what it takes to get there. Get in touch
Copyright © 2026 codelynks.com. All rights reserved.