Client case · Revally · SaaS · Local visibility
Designing and industrializing Revally from day one
A senior product engineering engagement spanning architecture, CI/CD, preview environments, external integrations and governance for LLM-assisted code.
Visit Revally.fr
Revally assignment context
The assignment
Take technical ownership of the platform’s creation: define the architecture, establish engineering standards and implement a delivery pipeline suited to a fast-evolving product.
The challenge
Move quickly without creating a fragile foundation. In a competitive market, Revally needed to evolve its journeys, integrate new channels and validate product decisions through short feedback cycles.
The approach
I implemented production-grade architecture and governance. Every contribution, whether written manually or generated with an LLM, goes through automated checks and expert review before integration.
A production-grade foundation led by an expert
Structural decisions were made from the outset to control quality, maintainability and delivery speed over time.
Architecture and ownership
Explicit domain boundaries, dependencies and responsibilities keep the foundation coherent as the product grows.
Engineering standards
Conventions, typing, documentation and quality criteria embedded in the development workflow.
Controlled CI/CD
Automated builds, tests and quality checks before traceable, controlled delivery.
Per-change previews
An isolated environment validates each functional change before integration.
LLM-assisted development
Project context, conventions and guardrails accelerate code production without delegating technical decisions.
Expert code review
Systematic human review of architecture, security, maintainability and product fit.
Implementation timeline
From the initial foundation to a controlled delivery pipeline
Each stage was designed and validated with one goal: increase execution speed without transferring risk to production.
- 1
Project foundation
Repository architecture, domain boundaries, conventions and quality requirements defined from day one.
- 2
CI/CD pipeline
Builds, tests and automated checks run on every pull request before deployment.
- 3
Preview environments
An isolated version for each change enables functional feedback before code is merged.
- 4
LLM-assisted generation
Project context and guardrails guide generation to accelerate the tasks suited to it.
- 5
Expert code review
Every contribution is human-reviewed, tested and approved before entering the product.
Connecting the product to the channels that matter
The platform was prepared to aggregate and operate local presence and content data across multiple external ecosystems.
- Google Business Profile API
- X / Twitter
Integrations were isolated behind explicit contracts so changes in APIs, permissions and platform-specific rules can be absorbed more easily.
CI · Preview · Delivery
Controlled acceleration, never blind automation
The LLM accelerates suitable production tasks, but the expert remains accountable for architecture, quality and the release decision. Automation strengthens product control; it does not replace engineering judgment.
- Every change is tested in a dedicated preview before approval.
- CI blocks regressions before merge and deployment.
- Generated code is assessed for architecture, security and maintainability.
- Changes remain traceable, reversible and aligned with product priorities.
Launching a product in a fast-moving market?
Let’s discuss the architecture, integrations and delivery pipeline that will let your product move quickly without compromising reliability.
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