Rodrigo Coutinho, Co-founder And Ai Product Manager At Outsystems – Interview Series

Rodrigo Coutinho is simply a co-founder and AI Product Manager astatine OutSystems. Since co-founding nan institution successful 2001, he has had a decisive information successful nan creation and imagination of nan product, successful particular, its architecture and ocular language. From time one, he focused connected processing innovative and pragmatic ways to summation nan velocity of transportation of endeavor applications. He is now responsible for doubling down connected this extremity by utilizing AI to summation productivity by an bid of magnitude.

OutSystems is simply a low-code level powered by generative AI that helps organizations quickly build, manage, and germinate enterprise-grade applications. It enables faster improvement of mission-critical software, encourages collaboration betwixt IT and business teams, and supports scalable, cloud-native architecture—streamlining nan full package lifecycle while reducing backlogs.

How is AI transforming nan low-code improvement landscape?

New AI devices are bringing 2 important transformations to low-code: productivity and connection methods. Generative AI is helping low-code developers build applications faster and pinch amended quality. Models are trained utilizing architectural champion practices, which ensures nan suggestions presented to nan developers are sound. In addition, generative AI  is besides utilized successful different parts of nan lifecycle, for illustration app design, app validation, and staging, accelerating nan complaint from thought to app moreover faster.

The 2nd large transformation, a consequence of nan first one, is that nan connection betwixt IT and business will alteration dramatically. With nan expertise to usage AI and low-code to create nan first type of nan exertion successful minutes and immense changes successful seconds, nan exertion tin beryllium made together pinch nan business. Instead of communicating done requirements documents, IT tin show an existent moving exertion successful real-time.

This will toggle shape nan domiciled of IT, bringing developers to nan table, and enabling invention to spur from nan conjunction of business pinch technology.

What are nan cardinal advantages of AI-powered low-code improvement complete accepted coding approaches?

Unlike accepted codification pinch AI, low-code platforms powered by AI – for illustration OutSystems Mentor – flooded cardinal challenges specified arsenic orphaned code, mediocre codification quality, and deficiency of transparency and explainability. This is imaginable because low-code devices for illustration OutSystems usage high-level models that absurd nan complexities of code, making it feasible to validate nan generated exertion to guarantee that it useful and follows champion practices.

What challenges do organizations look erstwhile implementing AI-driven low-code platforms?

There are a fewer things that organizations request to beryllium alert of erstwhile choosing and implementing these low-code powered platforms. First, look for a level that uses AI to heighten nan full SDLC, not only codification generation. Second, deliberation astir really nan instrumentality tin thief alteration really we work. For instance, pinch Mentor, OutSystems intends to alteration nan narration betwixt IT and nan business, thing that will person a overmuch deeper effect connected organizations beyond conscionable expanding developer productivity.

Finally, staying compliant tin beryllium a situation for organizations utilizing AI-driven low-code platforms. Developer teams must retrieve not to velocity past audits for compliance reddish flags aliases imaginable information vulnerabilities and ever impact ineligible teams, peculiarly erstwhile moving pinch customers aliases delicate data. That’s why OutSystems has already  adjusted for this, providing a model that automatically ensures information governance and regulatory compliance.

What sets OutSystems isolated from different low-code improvement platforms?

OutSystems is designed to present nan champion developer acquisition pinch nan astir blase AI and generative AI toolset successful nan low-code market. The OutSystems level powers AI-driven improvement for unparalleled velocity and standard pinch AI devices to reside information vulnerabilities, method debt, and different attraction issues. Our automated AI supplier builder allows IT teams to easy build GenAI-infused apps without precocious GenAI expertise.

OutSystems is besides nan only LCAP level that tin beryllium utilized successful immoderate usage case, providing unparalleled capacity and standard that tin support moreover nan astir unpredictable and inconsistent traffic. When you build connected OutSystems, you’re building apps that are —and will ever beryllium —yours, pinch easy integration pinch different technologies and existing infrastructures, and without walls aliases limitations connected functionalities.

How does AI thief enterprises resoluteness nan ‘buy vs. build’ dilemma successful package development?

AI and low-code platforms are making custom-built package much accessible, cost-effective and adaptable, giving enterprises caller opportunities to build their ain platforms astatine a fraction of nan accepted cost. Furthermore, AI-powered low-code improvement platforms let you to build your tech stack overmuch faster utilizing less resources.

The reality is that AI is shifting nan equilibrium of powerfulness present – companies that person antecedently had to put successful costly customizations of off-the-shelf software, often sacrificing power and visibility for financial reasons, now person entree to caller avenues to build package that useful specifically for them.

What is OutSystems Mentor, and really does it leverage AI to automate nan afloat package improvement lifecycle (SDLC)?

OutSystems Mentor is nan industry’s first afloat package improvement lifecycle (SDLC) integer worker, enabling app generation, delivery, and monitoring, each powered by low-code and GenAI. Mentor introduces a existent “shift-left” attack to app creation, enabling developers to commencement earlier successful nan process. Beginning pinch find and accelerated prototyping, IT teams tin validate ideas and refine first designs earlier full-scale development. Users simply picture nan app they request aliases their vision, and Mentor generates an first type pinch front-end functionality, information models, and embedded business logic. By automating app prototyping and ensuring best-in-class codification quality, Mentor redefines nan SDLC.

What differentiates Mentor from different AI-powered low-code improvement tools?

Mentor transforms package improvement and guidance workflows into a awesome competitory differentiator. Using AI-driven app generation, optimization, automated value checks, and agents each nether nan governance of centralized IT, Mentor boosts developer productivity while ensuring applications meet nan highest value standards. Furthermore, Mentor allows this to return spot astatine a velocity antecedently thought impossible, enabling teams to do much pinch their clip and set arsenic needed passim development.

Unlike accepted codification pinch generative AI, Mentor overcomes cardinal challenges specified arsenic orphaned code, mediocre codification quality, and deficiency of transparency and explainability. It ensures teams support control, trim method debt, and afloat harness nan imaginable of AI-driven package development, making it a smarter, much businesslike prime for modern, accelerated exertion development.

Mentor is unafraid by creation to meet each information governance requirements and standards to guarantee compliance and security. Its model-driven improvement allows for easier maintainability by focusing connected models alternatively than code, yet empowering developers to attraction connected nan projects astatine hand.

How does Mentor’s AI-driven attack amended governance and information compared to accepted GenAI tools?

With Mentor, teams tin validate and support applications done AI-powered codification reviews, ensuring each applications meet nan highest imaginable standards for development, security, performance, architecture and semipermanent maintainability. By implementing these reviews from nan beginning, developers tin support information governance and visibility astatine each measurement of nan process.

Mentor besides proactively and regularly checks for issues that mightiness propose a discuss successful value aliases information erstwhile an app is successful nan accumulation environment. All captious aspects of these applications – specified arsenic architecture, security, performance, and attraction – tin beryllium intimately monitored and checked for champion coding practices and value passim nan improvement cycle. At OutSystems, we spot paramount value connected endeavor information and admit really important it is to safeguard our level and nan beingness of applications built by our customers, yet empowering our customers to build unafraid applications, leveraging OutSystems exertion and cloud-based services without requiring heavy method expertise successful security.

How does Mentor's AI architecture orchestrate aggregate agents to accelerate exertion development?

Mentor is simply a integer worker: a non-human, AI-powered squad personnel trained to complete aliases support sequential tasks and moreover full processes. It uses a operation of generative AI prompts, earthy connection processing, starring AI models, and instrumentality learning to automate tedious, disparate, and analyzable processes and augment nan activity of humans.

Mentor utilizes aggregate agents, each specializing successful a circumstantial facet of exertion development, to quickly make afloat functional applications by collaborating connected different parts of nan task simultaneously, importantly reducing improvement clip while maintaining value by leveraging nan strengths of each supplier passim nan package improvement lifecycle (SDLC).

How does OutSystems scheme to germinate its AI capabilities successful nan coming years?

At OutSystems, our AI strategy is centered astir utilizing AI and instrumentality learning to accelerate iterative exertion development, improving security, capacity and agility, and building GenAI-powered applications to accelerate transformation. As we grow our merchandise offerings done Mentor and our AI Agent Builder, we’ll proceed to pat into GenAI and agentic AI to empower IT teams to innovate without limits.

Thank you for nan awesome interview, readers who wish to study much should sojourn OutSystems.