AI-assisted delivery
Teams use Copilot or Claude Code with no shared rules, while reviews struggle to keep up with the volume.
LRJI sets up a real-scope pilot, write boundaries, and automated checks so delivery stays reviewable and measurable.
Ship faster with AI, without losing control of your architecture.
LRJI sets up AI-assisted delivery with coding agents in your teams, with verifiable guardrails, and brings Staff-level technical leadership to the architecture, modernization and launch of your TypeScript products.
LRJI is the consultancy of Mohammed Hamdoune, Staff Software Engineer: 14 years of software architecture and delivery, in France, in Brussels and remotely.
Where LRJI creates technical leverage
Four intervention areas for teams that need AI-assisted delivery with guardrails, Staff-level leadership, clearer architecture decisions, or a launch foundation that will not need tomorrow's rewrite.
Output A tooled pilot, guardrails in CI, and team enablement.
Staff-level technical leadership
Technical decisions have no owner, and delivery-critical trade-offs remain unresolved for too long.
LRJI brings clear ownership, written decisions, practical standards, and hands-on reinforcement alongside the team.
Architecture and modernization
Debt or distributed complexity drives the roadmap and makes each product decision harder to reverse.
LRJI audits the system, names the risks, and sequences change without a big-bang rewrite.
SaaS bootstrap and platform
A product must launch without creating the architecture debt that becomes tomorrow's rewrite.
LRJI shapes the TypeScript architecture, delivery setup, and GCP foundation around the riskiest product decisions.
A stack for TypeScript product architecture
The stack LRJI foregrounds is TypeScript-first, GCP-oriented, test-heavy, and architecture-led. It is chosen for systems that must stay understandable while the product and team evolve.
TypeScript-first systems
Backend, frontend, contracts, tests, and tooling stay aligned around one language and explicit boundaries.
Pragmatic GCP runtime
Cloud Run, Kubernetes, Docker, CI/CD, and observability are used to keep delivery predictable without overbuilding the platform.
Maintainability as a constraint
DDD, Hexagonal Architecture, tests, security, ADRs, and migration discipline are treated as delivery tools, not decoration.
AI-assisted delivery
Coding agents are equipped with shared instructions, write boundaries, and checks that keep their work verifiable.
Core TypeScript engineering
The backend and API layer where most delivery decisions become concrete.
Product frontends
Frontend stacks for SaaS and operational products that need fast iteration and readable UI code.
Platform and delivery
Runtime, deployment, proxying, and CI/CD choices that keep environments understandable.
Data and messaging
Persistence and asynchronous flows for product features, integrations, and distributed-system boundaries.
Architecture methods
Patterns and decision tools used to preserve modularity, ownership, and long-term maintainability.
Quality, security, and AI
Testing, security posture, observability, audit practices, and AI-assisted engineering workflows.
Representative work under real delivery constraints
These references bring together missions delivered by LRJI and its founder's earlier experience, without exposing confidential client details.
Simplifying a retail microservices architecture
- Mohammed Hamdoune's contribution
- Sequenced migration toward a modular monolith, preservation of existing flows, PWA rewrite, local setup simplification, and MongoDB optimization.
- Context
- Live retail product, seven microservices, Kubernetes, Kafka, MongoDB, and a team slowed down by disproportionate operational complexity.
- Outcome
- The platform moved from a costly distributed model to one more maintainable primary deployable, with fewer pods per environment, less release coordination, and an estimated storage cost reduction.
Critical authentication platform
LRJI contribution
Backend architecture, Keycloak abstraction layer, Hexagonal Architecture, polyglot monorepo, and GitLab CI/CD pipeline.
A more readable and testable platform around a critical identity component, with clearer application boundaries.
- Identity Keycloak
- Architecture Hexa
- Delivery GitLab CI
- Runtime Docker
Global identity and customer-data ecosystem
LRJI contribution
Senior backend reinforcement on security, exchange quality, flow maintainability, and integration between critical systems.
Kept deliberately discreet: public detail remains limited, while the context demonstrates work on demanding identity and customer-data ecosystems.
- Domain CIAM / MDM
- Flows Kafka
- Level Global
- Status Discreet
Frontend migration and international coordination
Mohammed Hamdoune's contribution
Migration to a React SPA, Storybook component-library architecture, technical coordination, and frontend practice improvements.
A more maintainable frontend foundation, a better coordinated team, and a migration delivered without losing SEO and accessibility concerns.
- Team 4 countries
- Frontend React SPA
- Design system Storybook
- Quality SEO / a11y
LRJI's own work
Internal projects where LRJI proves its delivery practices before offering them to teams.
Industrializing AI-assisted delivery
An internal project to keep judgement and integration evidence at the pace of agents that produce faster than one operator can review.
Read the case studyRebuilding secrets, CI/CD, and infrastructure as code
An internal controlled rebuild: step-by-step evidence, secrets outside files, and CI without a static key.
Read the case studyEmovanti: making architecture decisions for a multi-tenant SaaS
An internal project where product and architecture decisions keep a multi-tenant SaaS coherent ahead of its beta.
Read the case studyReferences are anonymized when client confidentiality requires it. More detail can be shared directly when appropriate.
Frame the technical situation
Share the product context, architecture constraints, and decision you need to make. LRJI will reply with the most useful next step.
- Response
- Initial framing within a few business days.
- Best fit
- Architecture audit, modernization, DDD boundaries, distributed systems, or senior engineering support.
- Format
- Remote-first, with Paris, Lille, Brussels, and on-site sessions when useful.
- Direct email
- contact@lrji.co