# Master of Code Global — AI consulting and engineering partner building custom AI agents, conversational AI and voice solutions.

> Source: The Agents Index — https://theagentsindex.com/master-of-code-global (structured, researched, re-verified)
> Facts last verified: 2026-10-19

Master of Code Global is an AI consulting and engineering firm that designs, builds and runs custom AI agents, conversational AI and voice solutions for mid-market and enterprise clients. Engagements start with a fixed-budget 30-day pilot before full development.

| Fact | Value |
| --- | --- |
| Website | https://masterofcode.com |
| Price | Price on request |
| Free tier | Partly |

Free self-serve 15-question AI Maturity Assessment, a free scoping call, and a one-day Free Claude Readiness Assessment; all design, build and support work is paid and quoted per engagement.

## What it does

**Writes code** · Yes — Their delivery methodology has coding agents generate production code inside micro-cycles, with senior developers auditing every AI-generated artifact at human-only gates.

> Agents execute predefined flows, update documentation, and generate production-ready code.
> — https://masterofcode.com/ai-sdlc · The Methodology – Phase by Phase, 'Implementation: Agentic Micro-Cycles With Human Gates'

**Debugs and fixes** · Partly — They describe finding and fixing vulnerabilities before deployment through review and scanning, but publish no claim about diagnosing a production failure and landing the fix autonomously.

> Code undergoes review and dependency vulnerability scanning, and solutions are subject to application security testing to identify and remediate potential vulnerabilities before deployment.
> — https://masterofcode.com/ai-trust-center · How We Protect Your Data and AI Solutions, 'Secure Software Development Lifecycle'

**Writes tests** · Yes — Test suites are part of delivery and may be AI-generated, with a stated 90%+ coverage result and a verification gate that cannot be skipped.

> Developers perform rigorous review of all documentation and validate every feature against a robust suite of automated tests – whether human-authored or AI-generated.
> — https://masterofcode.com/ai-sdlc · The Methodology – Phase by Phase, 'Verification: The Quality Gate That Cannot Be Skipped'

**Reviews code** · Yes — Human review of code is mandatory in their process: senior developers audit every AI-generated artifact, and a security engineer reviews automated vulnerability findings.

> Senior developers audit every AI-generated artifact at mandatory human-only gateways, eliminating context leakage and protecting architectural integrity.
> — https://masterofcode.com/ai-sdlc · The Methodology – Phase by Phase, 'Implementation: Agentic Micro-Cycles With Human Gates'

**Whole-codebase work** · Partly — They restructure existing platforms such as auth flows and data pipelines, but publish no claim about carrying a migration across a whole repository.

> From refactoring insecure authentication flows to restructuring data pipelines, your platform comes out hardened and production-ready.
> — https://masterofcode.com/technical-audit-for-ai-platforms · Three Ways to Work Together, Audit + Fixes card

**Ships it** · Partly — Engagements run through deployment and support, but no release reaches production without a named human sign-off, so shipping is never unattended.

> AI at Master of Code Global does not replace engineers, alter accountability, or make autonomous decisions. Every artifact, every release – human-signed-off.
> — https://masterofcode.com/ai-sdlc · What AI Actually Is, 'What Doesn't Change: Ownership'

**Done-for-you service** · Yes — This is a services business: their people consult, architect, build, integrate, deploy and support the AI solution rather than selling you software to run.

> We cover the full lifecycle: consulting, architecture, development, integration, deployment, and support. Every engagement starts with defined business goals and measurable outcomes.
> — https://masterofcode.com/ai-agent-development-services · Intro section under 'AI Agent Development Services'

## How much it does unattended

**Runs autonomously** · Partly — Agents they build act within a bounded scope of authority and escalate anything outside it, so autonomy is deliberately capped by human approval points.

> the design, development, integration, deployment, and maintenance of agents that operate with a defined degree of autonomy inside business workflows
> — https://masterofcode.com/ai-agent-development-services · 'What AI agent development services cover' intro paragraph

**Multi-agent** · Yes — Architecture choice explicitly includes multi-agent and hybrid designs, decided per use case during their architecture and integration design step.

> whether a single-agent, multi-agent, or hybrid architecture fits the use case, which models and tools it will rely on, and which APIs and systems it needs to connect to
> — https://masterofcode.com/ai-agent-development-services · Process, 'Step 3: Architecture & Integration Design'

**Agent permissions** · Partly — Permissions are fixed at integration time to named systems, tables and fields, with human sign-off wherever a decision needs it, rather than left to the agent.

> Data access is scoped and permissioned, not open-ended. The agent only reads from and writes to systems, tables, or fields it has been explicitly granted access to
> — https://masterofcode.com/ai-agent-development-services · Capabilities section, 'Using Tools and APIs' / data access paragraph

## Which models it runs on

**Claude** · Yes — They run a dedicated Claude consulting line as an Anthropic partner, covering Claude API, Claude Code and Cowork adoption for client teams.

> Our Claude consulting services help them fix that and achieve more with Anthropic’s line of products, from Claude API to Code and Cowork
> — https://masterofcode.com/claude-consulting-services · Hero paragraph under 'Claude Consulting Services From Certified Claude Experts'

**GPT** · Yes — A separate OpenAI consulting line covers ChatGPT and Azure OpenAI integration, and their engineers wire GPT models into client systems.

> We specialize in incorporating ChatGPT and other large language models into your systems to improve Conversational AI experiences.
> — https://masterofcode.com/hire-ai-engineers · Capabilities list, LLM integration paragraph

**Open models** · Yes — For clients whose security rules bar third-party AI vendors they deliver the same methodology on-premises using open-weight models and open-source tooling.

> Master of Code Global operates on fully on-premises infrastructure using open models and open-source tooling. The methodology remains identical.
> — https://masterofcode.com/ai-sdlc · 'Where AI SDLC Performs Best', Regulated Environments and Data Sovereignty Requirements

**Model choice** · Yes — Model and platform selection is made per project against client constraints, and their own LOFT framework exposes one orchestrator across different LLMs.

> A unified orchestrator that enables seamless interaction with various Large Language Models. This allows us to select the best option for your specific use case
> — https://masterofcode.com/loft · 'What Are the 6 Interchangeable Components of LOFT?', LLM Manager

## Where you use it

**In your editor** · Partly — IDE-based coding agents are tools their own engineers use per project and that they help client teams adopt; nothing IDE-based is sold to a buyer.

> Claude Code, GitHub Copilot, Cursor – selected per project, not by default
> — https://masterofcode.com/ai-sdlc · The Methodology – Phase by Phase, Implementation card, Tools line

**In a browser** · Yes — Delivered solutions are typically web and conversational surfaces embedded in client sites, and their own free maturity assessment runs in the browser.

> A comprehensive Gen AI-powered conversational agent integrated directly into the client's website to improve conversion rates
> — https://masterofcode.com/ai-agent-development-services · Case studies carousel, website conversational agent card

## Whose machine it runs on

**Self-hosted** · Yes — They will run the whole orchestration layer on client-approved or on-premises infrastructure when enterprise security forbids third-party AI vendors.

> For clients where enterprise security prohibits third-party AI vendors, Master of Code Global operates on fully on-premises infrastructure using open models and open-source tooling.
> — https://masterofcode.com/ai-sdlc · 'Where AI SDLC Performs Best', Regulated Environments and Data Sovereignty Requirements

**Open source** · Partly — They describe LOFT as their open-source LLM orchestration framework, but no public repository or licence is linked from the LOFT page, so availability is unverified.

> – our open-source LLM orchestration framework – provides the modular architecture underpinning the entire agentic build loop
> — https://masterofcode.com/ai-sdlc · 'Proprietary Assets', LOFT: The Orchestration Infrastructure

## What it costs to run

**How it meters** · Partly — Engagements are priced per project on a fixed-budget, fixed-timeline model, or per augmented engineer; no seat, token or credit rate is published anywhere.

> The FFF model gives you the predictability of a fixed budget and the adaptability of a custom engagement
> — https://masterofcode.com/ai-pilot · 'Fixed Budget. Fixed Timeline. Flexible Scope.' section

**Free tier** · Partly — You can start free with a self-serve maturity assessment, a scoping call and a one-day Claude readiness review, but every delivery engagement is paid.

> Take our free 15-question self-assessment across 7 dimensions for an instant AI maturity score and next-step recommendation
> — https://masterofcode.com/ · Custom AI Development services grid, AI Maturity Assessment card

**MCP server** · Partly — MCP appears as something they build for clients — an internal MCP solution case and MCP in their toolkit — not as an interface onto their own service.

> Master of Code Global developed an Internal MCP Solution that unified enterprise operations into a single conversational workspace.
> — https://masterofcode.com/ai-agent-development-services · Case studies carousel, Internal MCP Solution card

**Bring your own key** · Partly — The build can run on the client's own approved or on-premises infrastructure with open models; no statement covers bringing your own commercial model keys.

> The orchestration layer simply runs on client-approved infrastructure.
> — https://masterofcode.com/ai-sdlc · 'Where AI SDLC Performs Best', Regulated Environments and Data Sovereignty Requirements

## Buying it for a team

**A company can buy it** · Yes — The engagement is sold to organisations: enterprise-level discovery covering compliance, security and ecosystem dependencies, not a self-serve individual signup.

> Discovery at the enterprise level is a full audit – covering compliance, security, existing ecosystem dependencies, and integration feasibility.
> — https://masterofcode.com/ai-pilot · Enterprise section of the AI Pilot page

**Admin controls** · Partly — What the agent may touch is constrained at integration time by scoped permissions and human approval points, not by a buyer-facing admin console.

> The agent only reads from and writes to systems, tables, or fields it has been explicitly granted access to, and every access boundary is defined during the integration phase
> — https://masterofcode.com/ai-agent-development-services · Capabilities section, data access paragraph

**Audit log** · Partly — They configure a baseline audit trail in cloud environments they host, but no administrative action log for the client is described.

> Infrastructure logging is configured to provide a baseline audit trail across cloud environments.
> — https://masterofcode.com/ai-trust-center · How We Protect Your Data and AI Solutions, 'Secure Cloud Architecture'

## What happens to your code

**Opt out of training** · Partly — They say they push third-party model providers for zero-retention API setups, which is an effort rather than a contractual no-training guarantee you select.

> When working with third-party model providers, we push for zero-retention API configurations and validate their data handling standards against our clients' compliance requirements
> — https://masterofcode.com/ai-trust-center · How We Protect Your Data and AI Solutions, 'LLM Safety & Guardrails'

**Data residency** · Yes — Deployment region and retention settings are configured per client engagement, with dedicated isolated infrastructure for each client.

> This includes the ability to select specific geographical regions for deployment and configure particular retention settings to ensure your data residency, processing, and retention practices are compliant
> — https://masterofcode.com/ai-trust-center · FAQ, 'Do you support client-specific requirements for data residency, processing, and retention?'

**Getting out** · Yes — On contract end the environments and data are handed to the client, and they state clients inherit the full orchestration layer with no vendor lock-in.

> Upon contract termination, we transfer environments and the client’s data to the client.
> — https://masterofcode.com/ai-trust-center · FAQ, 'How is client data handled at the end of the contract?'

**Certifications** · Partly — ISO/IEC 27001:2022 is certified and scoped to AI work, and they claim GDPR and HIPAA alignment, but no SOC 2 report is offered anywhere on the site.

> Master of Code Global holds an ISO/IEC 27001:2022 certificate.
> — https://masterofcode.com/ai-trust-center · 'ISO-Certified Information Security Management System'

## What changed

- 2026-10-19 — Capabilities · Free tier · Price · Terms
- 2026-10-18 — Capabilities · Free tier · Terms

## Keeping it current

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