Code Intelligence announced a new feature to CI Sense, a scalable fuzzing platform for continuous testing.
By 2028, 75% of enterprise software engineers will use AI code assistants, up from less than 10% in early 2023, according to Gartner, Inc.
63% of organizations are currently piloting, deploying or have already deployed AI code assistants, according to a Gartner survey of 598 global respondents in the third quarter of 2023.
AI code assistants enable more capabilities that go beyond code generation and completion. They are collaborative assistants that improve developers’ efficiency by stimulating brainstorming and increasing code quality enhancements which empower developers to continuously upskill and build proficiency across programming frameworks. The enablers offered by AI code assistants lead to increased job satisfaction and retention, thereby saving the costs associated with turnover.
"Software engineering leaders must determine ROI and build a business case as they scale their rollouts of AI code assistants," said Philip Walsh, Sr Principal Analyst at Gartner. "However, traditional ROI frameworks steer engineering leaders toward metrics centered on cost reduction. This narrow perspective fails to capture the full value of AI code assistants."
Reframing ROI Conversations Is Critical to Capture the Full Value of AI Code Assistants
Traditional ROI frameworks fail to capture the full value of AI code assistants. To build an effective value story extending beyond traditional ROI metrics, software engineering leaders must reframe the ROI conversation from cost reduction to value generations.
"Calculating time savings on code generation is a good place to begin building a more robust value story," said Walsh. "To convey the full enterprise value story for AI code assistants, software engineering leaders should connect value enablers to impacts, and then analyze the overall return to the organization."
Industry News
WSO2 is adding new capabilities for WSO2 API Manager, WSO2 API Platform for Kubernetes (WSO2 APK), and WSO2 Micro Integrator.
OpenText™ announced a solution to long-standing open source intake challenges, OpenText Debricked Open Source Select.
ThreatX has extended its Runtime API and Application Protection (RAAP) offering to provide always-active API security from development to runtime, spanning vulnerability detection at Dev phase to protection at SecOps phase of the software lifecycle.
Canonical announced the release of Ubuntu 24.04 LTS, codenamed “Noble Numbat.”
JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
Copado announced the general availability of Test Copilot, the AI-powered test creation assistant.
SmartBear has added no-code test automation powered by GenAI to its Zephyr Scale, the solution that delivers scalable, performant test management inside Jira.
Opsera announced that two new patents have been issued for its Unified DevOps Platform, now totaling nine patents issued for the cloud-native DevOps Platform.
mabl announced the addition of mobile application testing to its platform.
Spectro Cloud announced the achievement of a new Amazon Web Services (AWS) Competency designation.
GitLab announced the general availability of GitLab Duo Chat.
SmartBear announced a new version of its API design and documentation tool, SwaggerHub, integrating Stoplight’s API open source tools.
Red Hat announced updates to Red Hat Trusted Software Supply Chain.
Tricentis announced the latest update to the company’s AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.