Architecture, senior software engineering, and technical execution for demanding products.

Architecture audit

Clarify the risks before the next architecture decision.

An LRJI audit turns a fuzzy technical situation into a readable diagnosis, remediation priorities, and decisions a CTO, DSI, and engineering team can actually use.

The goal is not a generic report. The audit connects codebase, domain boundaries, delivery, technical debt, runtime, and operational constraints so the team knows what to fix, in what order, and why.

Warning signals

When to request the audit

The audit is useful when the team feels the friction but does not share a concrete diagnosis yet. It reduces uncertainty before spending budget, time, or migration effort.

01

Delivery is slowing down without one obvious cause

Features take longer, cross too many parts of the system, or create regressions that are hard to explain.

02

Technical debt is known, but poorly prioritized

Everyone sees the debt, but nobody is sure which issues are really blocking business outcomes, reliability, or execution speed.

03

System boundaries have become ambiguous

Domain areas, services, modules, team ownership, and data flows no longer describe the same architecture.

04

Architecture debates keep looping

Modular monolith, microservices, event-driven architecture, DDD, or replatforming are all on the table, but none is grounded enough in the actual system.

05

An important decision is coming

Migration, fundraising, senior hiring, platform change, or a new product phase requires a credible technical state of play.

Scope

What actually gets audited

The diagnosis is not limited to reading code. It connects technical choices with the product model, delivery organization, and operational constraints.

Codebase and modularity
Backend structure, dependencies, coupling, recurring patterns, test debt, and TypeScript coherence.
Domain boundaries
Bounded contexts, application responsibilities, contracts between modules or services, and where DDD can clarify delivery.
Delivery and governance
Change flow, CI/CD, reviews, ADRs/RFCs, ownership, implicit rules, and friction points slowing the team down.
Runtime and integrations
Deployment, observability, queues/messages, APIs, event flows, operational costs, and distributed complexity.

Delivery format

A diagnosis built for decisions

Each step serves a concrete output: name the risks, choose a direction, and give the team a realistic sequence.

  1. 01

    Read the real system

    Code review, current architecture, critical flows, pipelines, known incidents, coordination costs, and product context.

  2. 02

    Map the risks

    Risks are ranked by delivery impact, business impact, reliability, security, operational cost, and remediation effort.

  3. 03

    Decide the structural tradeoffs

    The audit clarifies the decisions blocking progress: modularity, boundaries, contracts, migrations, runtime, tests, observability, or governance.

  4. 04

    Sequence the remediation

    The output is not a wish list. It is a prioritized path with quick wins, structural work, and exit criteria.

Outputs

Typical outputs

Outputs are designed to be used after the audit: in technical committees, with the team, inside a roadmap, or to secure an investment decision.

  • Architecture and critical-flow map
  • Prioritized risk register
  • Technical debt tied to delivery and business impact
  • Decision notes on structural tradeoffs
  • Sequenced remediation roadmap
  • Recommendations for standards, tests, observability, and governance

Field proof

Relevant experience

The audit is grounded in situations LRJI has already handled: disproportionate distributed complexity, critical platforms, identity/data ecosystems, and TypeScript codebases under pressure.

7 -> 1 services / 21 -> 3 pods per env

Retail: distributed complexity brought back to proportion

Sequenced migration from multiple microservices toward a more maintainable architecture, reducing coordination, pods per environment, and storage costs.

Read the retail case

Keycloak / Hexagonal Architecture

Authentication: critical platform framing

Backend architecture around Keycloak, abstraction layers, and a monorepo designed to keep application boundaries readable.

Read the authentication case

CIAM / MDM / Kafka

Luxury: demanding identity/data ecosystem

Deliberately discreet international context involving distributed integration, security, Kafka synchronization, and strong customer-data constraints.

Read the luxury case

After the audit

The audit can stay a diagnosis or become a workstream

Depending on the result, LRJI can stop at the diagnosis or support the next phase with a more targeted format.

Migration or simplification

Turn the roadmap into a sequenced migration, complexity reduction, or legacy-to-clean trajectory.

Legacy Migration

Architecture and governance

Help the team formalize decisions, set standards, and secure structural tradeoffs.

Software Architecture

Product bootstrap or remediation

Implement critical foundations, stabilize the delivery model, or validate a risky technical capability.

Project Bootstrap

FAQ

FAQ

What does the architecture audit focus on?

The audit focuses on the codebase, system boundaries, business and technical flows, delivery, debt, architecture decisions, and the risks making reliability, speed, or scaling harder than they should be.

Is this a strategic or technical audit?

Both. The diagnosis goes down into the code and back up to roadmap, budget, organization, and platform decisions. That connection is what makes the audit useful.

Do you stay involved after the audit?

Yes. LRJI can continue with architecture support, senior engineering execution, project bootstrapping, or targeted remediation, but the audit can also stay a standalone deliverable.

Next step

Bring the architecture, the delivery friction, and the decision you need to make.

LRJI turns that context into a readable diagnosis, prioritized risks, and a remediation plan the team can actually use.