Experienced engineering, with AI in the delivery method

AI changes how implementation work can be carried out. Understanding a client’s business, users and systems remains central to deciding what to build. At Devmojos, the current delivery method connects that understanding with UX, architecture, defined AI tasks, testing and human decisions from discovery through release and ongoing improvement.

Filipe Contente brings 25 years connecting business goals and technology. The experience includes digital healthcare at Doktor.de, backend integration for Coneva Energy Buddy and shared engineering delivery at Fibersail. These references span Devmojos, partner engagements and earlier company and personal experience, with different roles and contributions. Today’s AI method builds on that background.

Architecture gives implementation a structure. We define modular components, interfaces and integration boundaries around the project’s expected workload and change needs. Capacity assumptions, operating constraints and cost trade-offs belong in that discussion. The aim is to make decisions explicit enough that a team can review them and revisit them when the requirements change.

Within that structure, agents receive defined tasks, appropriate context and clear permissions. Our current internal agentic harness and Devbus support coordination and recorded handoffs. The method keeps task ownership, results and unresolved questions visible for review. People remain responsible for architecture, acceptance and the decision about which work should proceed.

Quality checks connect the implementation to agreed behaviour. Automated unit, integration and regression tests check relevant behaviour and user journeys. AI assists with test work, while independent AI review adds a separate assessment. Human review considers the experience and acceptance evidence. Each check contributes information to a release decision within the project’s agreed scope.

Agents can execute deployment steps within an approved workflow. Human operators remain responsible for release. After acceptance, monitoring, maintenance, exception handling and improvement can continue under a separately agreed scope. Proposed changes are evaluated against the relevant baseline, with a decision to retain, adapt or revert them. Better quality, shorter delivery cycles, lower cost and reduced risk are aims to evaluate against agreed requirements.

A defined software project can move directly to scoping. An existing engineering team can also explore a bounded adoption change and assess what improves in its own environment. In either case, the first conversation is about the work, the constraints and the evidence needed to make a useful decision.