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GMMCode is not a code generator. It is an AI Software Engineering Team — structured delivery through three mandatory layers: an ITIL service front door, a 9-role delivery pod, and a 37-SLM governance mesh that enforces 302 enterprise standards on every task.
Every request passes through an ITIL service desk, a nine-role delivery pod, and a 37-SLM governance mesh — in that order. The coding provider is swappable. The governance is not optional.
GMMCode runs like a real software delivery organisation — planning before writing, checking before shipping.
Every request enters the ITIL L1 service desk. The Router SLM classifies the task, identifies the engagement shape, and selects the protocol chain before a single line of code is touched.
The Codebase Reviewer SLM scans the existing codebase, identifies reusable components, flags blast radius, and prevents duplication before any planning begins.
The LLD Writer SLM produces a Low-Level Design document. The PMP gates check scope alignment, timeline, and effort. The Naming Enforcer validates API contracts. Plan is locked before any code is written.
The coding model (any provider — GLM, Claude, Gemini, or your own) generates code. All 16 review SLMs run concurrently on the output. Convergence required: ≥80% PASS, or the model revises.
Design, QA, Security, Code Review, and Release Readiness. Each gate is signed by a distinct role. No role self-certifies. A failed gate stops delivery and routes back — automatically.
The Deploy Verifier SLM runs health checks and readiness gates. Compliance Auditor generates SOC 2/GDPR/DPDP evidence artefacts. WWM Tracker logs any compromise debt. Full audit trail appended.
Every task must clear all five gates in sequence. No gate can be bypassed in code. No role signs off on its own work.
When a gate fails, the verdict is appended to the immutable audit trail and the delivery routes back — to the Developer for code issues, to the Architect for design issues. Every rejection is on record. The CISO's question — "who approved this?" — always has an answer.
Each SLM is purpose-built for a narrow governance domain — enforcing specific rules, producing structured verdicts, and never generating free-form opinions.
Classifies task, selects protocol chain, routes to engagement shape
Scans repo, identifies reuse, flags blast radius
Produces Low-Level Design before any code is written
Naming conventions, API contract validation
15 exception standards, custom hierarchy enforcement
OWASP + 18 security coding standards, blocks on CRITICAL
12 DPDP/GDPR data privacy standards
16 SOLID/design pattern standards
14 unit/integration/contract test standards
10 caching/scalability/N+1 standards
SOC 2, RBI, GDPR, DPDP regulatory evidence generation
Blast-radius analysis, refactoring signal detection
Adversarial challenge — all SLM findings cross-challenged
Logs compromise debt and skipped checks — always runs
Health checks, readiness gates before release
Logging Auditor, Concurrency Guard, Async Quality Guard, Data Persistence Guard, and more
Each shape configures a purpose-built role roster, gate set, phase graph, and deliverable types. The platform adapts to the work — not the other way around.
Full SDLC delivery from requirements to merged, tested, governed code
37-SLM mesh audit with PASS/FAIL verdicts per standard — for existing code or PRs
SOC 2, GDPR, DPDP, RBI compliance evidence generation with framework mapping
Architecture docs, BRDs, SRS, API specs generated from living code and delivery artefacts
Deep legacy analysis → migration strategy (Strangler Fig / BAA / Parallel Run) → sprint backlog
Root cause investigation with evidence chain and blast-radius impact report
Production incident forensics with immutable timeline artefacts and RCA report
Ongoing policy enforcement and compliance monitoring per deployment, every time
Technical RFP responses with accurate delivery estimates, governance proof, and risk registers
Full 9-role pod + 5 mandatory gates for anything that doesn't match a named shape
GMMCode is not just built for production — it is already running in production, including on its own development.
The GMMCode platform itself is being developed using GMMCode — a real dogfooding loop. Every code change passes through the same 9-role pod and 37-SLM governance mesh the product delivers for clients. This is the strongest proof of real-world readiness.
SPGMS — a real enterprise monitoring product — was developed end-to-end using GMMCode. The full SDLC: requirements through architecture design, code generation, security review, QA gate, and release readiness — all governed by the platform's delivery pod and SLM mesh.
Jira webhooks route tickets directly into the L1/L2/L3 ITIL service desk. The delivery pod activates per ticket, tracks progress through all five gates, and closes the Jira issue with a full evidence bundle attached — automatically.
Tested live against Atlassian Cloud (PLAN-028). Dependency-aware hold and auto-release across parallel tickets. Real-time status tracking in the Communications Client.
Tell us what you're building. We'll walk through a live demonstration of the governance layer on a real task from your team.