AI Across the Full SDLC
From personas and prototypes to code, tests, review, and documentation - AI accelerates every stage, not just coding.

AI is a core capability in our workflow, not an experiment. We embed AI across the entire software development life cycle - from design and code to testing, review, and documentation - to deliver faster, smarter, and more sustainably.

From personas and prototypes to code, tests, review, and documentation - AI accelerates every stage, not just coding.
Humans own strategic decisions and quality assurance. AI reduces cognitive load and eliminates repetitive tasks.
As AI tools evolve, we actively experiment, evaluate, and refine our capabilities - every project makes the next one smarter.
A dual-engine strategy powers our development life cycle: best-in-class external tools bring market innovation, while our internal platform brings proprietary context. Together they form a loop of continuous evolution.
We combine market innovation (External Tools) with proprietary context (NEKO).

Before a single line of code is written, AI accelerates how we understand users and validate ideas - so designers focus on experience decisions, not production mechanics.
Our engineers work with an always-available AI pair programmer. Every suggestion passes through human review - we remain accountable for every line shipped.
Testing is where AI delivers some of the largest efficiency gains - coverage goes up while manual effort goes down.
NEKO carries institutional knowledge across projects, keeping review, documentation, and estimation aligned with our engineering standards.

Prototyping, coding, and testing that once took weeks now takes days. AI compresses the mechanical parts of development so teams reach working software sooner and iterate more often.
AI-generated test scenarios expand coverage beyond manual planning, and AI-assisted review catches issues earlier - when they are cheapest to fix. Human QA remains the final gate.
Documentation is generated and updated alongside the code, not after it. Clients receive systems that stay maintainable long after handover.
Effort estimation informed by historical data from NEKO means more accurate timelines and budgets, with fewer surprises mid-project.
With repetitive work offloaded to AI, our people spend their time on architecture, business logic, and user experience - the decisions that differentiate your product.
We treat AI capability as a discipline, not a tool purchase. New tools are evaluated, measured for real impact, and folded into standard practice.














Our proprietary platform for code review, documentation, and effort estimation - built on the accumulated knowledge of NRI Indonesia projects.