The market is transformed: startups generating several million dollars in recurring income with teams from a few people to large technological changes.
The whole ecosystem is reorganized. With generative AI and low-code platforms, the cards are being rebatted. The most striking example? Klarna, the Swedish payment giant, who recently made the tech world tremble with the abandonment of SaaS Workday and Salesforce tools in favor of internal solutions based on AI. Beyond financial gains, Klarna aims to develop tools more suited to its operation and build an architecture centralizing its data and compatible with the development of AI agents. Beyond the announcement effects, it is the redefinition of the boundaries between the traditional “make or buy” which is at stake with a drastic lowering of the design costs and development of digital products.
Generative AI and low-code in the heart of this upheaval
This deep transformation is fueled by two complementary technological currents: generative AI and low-code.
AI as a productivity multiplier: generative AI redefines productivity standards in software design and development. Startups like Cursor.ia, itself created and maintained by a reduced team of a 10-person, already allow productivity gains up to 50% in code development. The generative AI is no longer content to assist content production, it becomes a real co -pilot in the development and creation process.
New generation low-code platforms: if generative AI makes the daily titles, the emergence of new low-code platforms play an equally important role in the transformation of the current technical landscape.
Specialized platforms such as Retool, Flutterflow, Webflow or Framer mark a break with traditional low-code solutions. Meeting place for developers, project managers, creative, they allow it to be quickly and upset the way of producing. These tools are no longer simple alternatives for simple projects, but become complete environments to produce a digital device.
A deep redefinition of roles and methods
The emergence of the “versatile creator”: the traditional border between developers, designers and project managers fades. Like the revolution initiated by Figma in collaborative design, these new platforms create a space where different expertise meet and complement each other. The typical profile of the creator of digital products evolves towards more versatility, combining technical skills, design thinking and vision business. A “Full-Stack” profile in short.
The return to the sources of agility: these tools give their original meaning to agile methods. The shortened development cycles and the ease of iteration finally make it possible to concretize the promise of a real agility (in line with the founding principles present in the agile manifesto: ‘working software over understanding documentation’, ‘responding to change over following a plan’), far from the weighing processes which had been imposed in recent years.
A strategic opportunity for companies
For companies, this revolution represents a unique opportunity to modernize their IS without the usual time and budget constraints and implement a ‘Green-Field’ strategy. The Low-Code combination makes it possible to envisage transformations that would have been unthinkable a few years ago. The new entrants have historically benefited from an absence of technical debt. Today, established companies may consider rethinking certain parts of their if based on these new approaches.
The challenges to be met
A strategic approach to the choice of tools: the multiplication of solutions requires an in -depth strategic reflection on the approach and the choice of solutions. Should we favor tailor-made development assisted by the AI or use a low-code platform with all integrated? How to take into account the technological dependencies created?
Rethinking project methodologies: The evolution of tools also requires in -depth rethinking how projects are carried out. The traditional specification phases become less relevant. The smaller teams require new governance approaches.
Generative AI and new generation low-code platforms do not represent a simple technological evolution, but a real revolution in the way of designing and delivering digital products. Companies that will adopt these new approaches while intelligently managing the associated risks will have a significant competitive advantage in the coming years. This deep transformation of the technological landscape opens the way to a new era where agility is no longer an abstract concept but an operational reality, finally making it possible to significantly reduce the gap between ideation and production.
