Digma Launches First-Ever Continuous Feedback Platform to Validate GenAI Code
The recently founded startup also secured a $6 million seed round
Cybertech
| 30/09/2023
Photo credit: Digma
Startup company Digma, founded in Santa Clara last year by Israeli Nir Shafrir (CEO) and Roni Dover (CTO), announced that it has produced the world’s first continuous feedback platform designed to address gaps in the development lifecycle, preventing bad code from making it to production, including GenAI-generated code. Additionally, the company made public that it secured a total seed round of $6m.
The new platform looks for regressions, anomalies, code smells, and other patterns to flag to developers to improve their code. Running locally on developer’s machines, Digma integrates code insights into Integrated Development Environments (IDE) and dev tools so that they can be applied in real-time.
An emerging category in software development, continuous feedback completes completes CI/CD platforms as well as testing and validation tools, in the face of growing GenAI usage, legacy libraries, and increasingly distributed systems.
Having been at the heart of software engineering organizations for two decades, Digma’s co-founders have first-hand experience in dealing with the business impact of accelerating releases in complex applications without providing developers with feedback about their code performance.
“Over the years we’ve been continually frustrated by a conspicuous gap emerging in the development process,” said Nir Shafrir, Digma CEO. “Businesses are losing customers due to bad code put into production, or code that doesn't perform as it should in the real world.
‘At the developer level, Digma solves a common problem, which is that developers get feedback too late. They are expected to deliver fast, but they can’t see how their code behaves in the real world, so they can’t make informed design decisions and assess the impact of their changes.”
According to Digma Chief Technology Officer Roni Dover, organizations are shifting the focus of observability from DevOps and IT to developers through Continuous Feedback, which is key for rapidly changing complex and legacy code. While Continuous Feedback is highly beneficial for any complex Java application, it is especially critical for organizations that are already using or preparing to use Generative AI.
“Organizations that do not adopt AI-generated code will fall behind in the productivity race, and developers who are reticent to use the technology will soon fall behind as well,” said Dover. “The great challenge that stands before organizations now - given the limitations of the technology - is how to use it safely and responsibly. For that, automated and even AI-driven guardrails need to be in place. Continuous Feedback reduces the risk surrounding checking-in code changes to complex systems or when using GenAI code.”
The recently founded startup also secured a $6 million seed round
Photo credit: Digma
Startup company Digma, founded in Santa Clara last year by Israeli Nir Shafrir (CEO) and Roni Dover (CTO), announced that it has produced the world’s first continuous feedback platform designed to address gaps in the development lifecycle, preventing bad code from making it to production, including GenAI-generated code. Additionally, the company made public that it secured a total seed round of $6m.
The new platform looks for regressions, anomalies, code smells, and other patterns to flag to developers to improve their code. Running locally on developer’s machines, Digma integrates code insights into Integrated Development Environments (IDE) and dev tools so that they can be applied in real-time.
An emerging category in software development, continuous feedback completes completes CI/CD platforms as well as testing and validation tools, in the face of growing GenAI usage, legacy libraries, and increasingly distributed systems.
Having been at the heart of software engineering organizations for two decades, Digma’s co-founders have first-hand experience in dealing with the business impact of accelerating releases in complex applications without providing developers with feedback about their code performance.
“Over the years we’ve been continually frustrated by a conspicuous gap emerging in the development process,” said Nir Shafrir, Digma CEO. “Businesses are losing customers due to bad code put into production, or code that doesn't perform as it should in the real world.
‘At the developer level, Digma solves a common problem, which is that developers get feedback too late. They are expected to deliver fast, but they can’t see how their code behaves in the real world, so they can’t make informed design decisions and assess the impact of their changes.”
According to Digma Chief Technology Officer Roni Dover, organizations are shifting the focus of observability from DevOps and IT to developers through Continuous Feedback, which is key for rapidly changing complex and legacy code. While Continuous Feedback is highly beneficial for any complex Java application, it is especially critical for organizations that are already using or preparing to use Generative AI.
“Organizations that do not adopt AI-generated code will fall behind in the productivity race, and developers who are reticent to use the technology will soon fall behind as well,” said Dover. “The great challenge that stands before organizations now - given the limitations of the technology - is how to use it safely and responsibly. For that, automated and even AI-driven guardrails need to be in place. Continuous Feedback reduces the risk surrounding checking-in code changes to complex systems or when using GenAI code.”
