Pegasystems unveiled Pega Predictable AI™ Agents that give enterprises extraordinary control and visibility as they design and deploy AI-optimized processes.
As part of DEVOPSdigest's annual list of DevOps predictions, DevOps experts offer predictions on how low code/no code technologies will evolve in 2025.
LOW-CODE/NO-CODE ON THE RISE
No-code/low-code development platforms are on the rise thanks to citizen developers and the availability of learning resources. AI can positively impact this domain by making it easier for non-technical users to create applications through visual interfaces and drag-and-drop functionalities. Ultimately, we will see a democratization in development, empowering more people to bring their ideas to life.
Dotan Nahum
Head of Developer-First Security, Check Point Software Technologies
Dev teams will look to more mature low-code and no-code technologies to outmaneuver competitors in bringing new application features to market and harnessing emerging technologies that are otherwise technically difficult and cost-prohibitive to deploy. In 2025, these tools will do a better job at compartmentalizing complex, specialized functionality (leveraging AI, big data, the IoT, and many more technologies that would otherwise require dedicated experts) into modules that can be easily assembled into full applications. Those applications can also be easily tweaked to iterate upon and optimize solutions. In 2025, an increasing number of dev teams across nearly every industry will tap low code and no code to dramatically accelerate application delivery, drive innovation and improve the quality of user experiences.
Shomron Jacob
Head of Applied Machine Learning & Platform, Iterate.ai
Enterprise low-code adoption will accelerate as platforms mature to handle complex business logic and integration requirements. Organizations will develop and deploy mission-critical applications using visual development tools that generate production-grade code, significantly reducing development time and costs while maintaining application quality and scalability.
Tristan Stahnke
Principal Application Security Consultant, GuidePoint Security
Low-Code Will Lower Barriers, Unlock Potential: We are on the verge of a transformative shift in app development, where opportunities will increase for developers of all skill levels. The prevalence of low-code platforms will empower not only seasoned professionals but also enable a growing wave of non-technical users to meaningfully contribute to projects. By leveraging intuitive drag-and-drop interfaces instead of traditional coding, these platforms will democratize the development process. Low code software dramatically lowers the barrier to entry, enabling even those with minimal technical experience to create sophisticated applications, accelerating innovation and unlocking the full potential of diverse talent across organizations.
JJ McGuigan
Product Manager for Developer Tools and App Builder, Infragistics
GENAI-POWERED NO-CODE
As generative AI matures within the development landscape, we'll inevitably see organizations move toward no-code. Generative AI powered no-code is a development method for people who have no coding skills at all (or if their project doesn't require it). Beyond simply providing shortcuts, no-code uses declarative programming to create applications based on what the user wants. Essentially, this means that no-code development lets users avoid coding completely, telling the system what you need, and then allowing the system to translate natural language into a production-ready application.
Jithin Bhasker
GM & VP for the App Engine Business , ServiceNow
AI DRIVES NO-CODE, LOW-CODE AND PRO-CODE CONVERGENCE
No-code, low-code and pro-code will soon collapse into a single AI-generated application space where the human effort will shift away from application construction to focus on how best to describe the applications that companies want.
Jason Bloomberg
President, Intellyx
LOW-CODE/NO-CODE IDENTITY CRISIS
Low-Code/No-Code tools might have an identity crisis: Features like Claude's Artifacts and ChatGPT's Canvas are bringing programming features directly to end-users who may not be familiar with code. As Generative AI is unlocking both traditional SaaS to become more customizable and traditional developer products to become more approachable for citizen developers, makers of low code tools that historically bridged these gaps might find themselves in an identity crisis, debating whether they want to turn more towards being a developer tool or traditional SaaS.
Dominik Kundel
Senior Manager Product Management — Emerging Tech & Innovation, Twilio
LOW-CODE TOOLS WITH COPILOTS
Within the next year, copilots will become ubiquitous in low code, which will require greater guardrails in the development process. Low-code tools with embedded copilots have a lower tolerance for accuracy. In contrast to traditional coding, developers are unable to fix inaccuracies manually and any mistakes in output will lead to front-end errors. As a result, there will be increased importance placed on setting guardrails and refining data management processes. The role of the developer will shift from coding to managing its AI workforce. Instead of utilizing their traditional coding expertise, developers responsibilities will transition to overseeing citizen developers and AI-driven development, ensuring a smooth and error-free process.
Ed Macosky
CPTO, Boomi
CODE-FIRST
No-code tools are shifting to a code approach, thanks to AI: By 2025, no-code tools will increasingly integrate code-first capabilities, blending simplicity with flexibility. This shift empowers teams to start with intuitive interfaces while retaining the depth and scalability of code, bridging the gap between non-technical and technical users.
Emmanuel Darras
CEO and Co-Founder, Kestra
LOW-CODE/NO-CODE SDK
Accelerating digital transformation through SDKs: SDKs will play a vital role in the low-code space, enabling developers to integrate ready-made components that accelerate development and customization. This shift allows teams to quickly adapt to changing business needs, bringing products to market faster while focusing on impactful solutions instead of infrastructure complexities.
Hadi Chami
Director of Solution Engineering, LEADTOOLS by Apryse
STREAMLINING COMPLIANCE
Low Code Tools Will Streamline Compliance: Industries such as healthcare and finance, where compliance with strict regulatory standards is critical, often face extended development timelines due to the rigorous testing required. However, the growing adoption of low code tools is poised to revolutionize the time needed to adhere to these standards. Low code platforms not only accelerate app development but also ensure that applications are built in alignment with legal and regulatory requirements. By integrating industry best practices into the development process, low code solutions will streamline compliance, enabling faster delivery of secure, compliant apps without sacrificing quality or oversight.
JJ McGuigan
Product Manager for Developer Tools and App Builder, Infragistics
GROWTH OF SHADOW IT
AI development combined with low-code apps will make it easier than ever for citizen developers to build enterprise-grade applications. However, with this is the potential that shadow IT will grow, presenting new problems.
Rupert Colbourne
CTO, Orbus Software
Industry News
Kong announced the introduction of the Kong Event Gateway as a part of their unified API platform.
Azul and Moderne announced a technical partnership to help Java development teams identify, remove and refactor unused and dead code to improve productivity and dramatically accelerate modernization initiatives.
Parasoft has added Agentic AI capabilities to SOAtest, featuring API test planning and creation.
Zerve unveiled a multi-agent system engineered specifically for enterprise-grade data and AI development.
LambdaTest, a unified agentic AI and cloud engineering platform, has announced its partnership with MacStadium, the industry-leading private Mac cloud provider enabling enterprise macOS workloads, to accelerate its AI-native software testing by leveraging Apple Silicon.
Tricentis announced a new capability that injects Tricentis’ AI-driven testing intelligence into SAP’s integrated toolchain, part of RISE with SAP methodology.
Zencoder announced the launch of Zen Agents, delivering two innovations that transform AI-assisted development: a platform enabling teams to create and share custom agents organization-wide, and an open-source marketplace for community-contributed agents.
AWS announced the preview of the Amazon Q Developer integration in GitHub.
The OpenSearch Software Foundation, the vendor-neutral home for the OpenSearch Project, announced the general availability of OpenSearch 3.0.
Wix.com announced the launch of the Wix Model Context Protocol (MCP) Server.
Pulumi announced Pulumi IDP, a new internal developer platform that accelerates cloud infrastructure delivery for organizations at any scale.
Qt Group announced plans for significant expansion of the Qt platform and ecosystem.
Testsigma introduced autonomous testing capabilities to its automation suite — powered by AI coworkers that collaborate with QA teams to simplify testing, speed up releases, and elevate software quality.