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94% of Developers Report AI Productivity Gains, but Governance Maturity Lags Behind Adoption, Finds New Study From Info-Tech Research Group

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Research findings published in Info-Tech Research Group’s newly released AI Adoption and Impact Study indicate that AI is becoming embedded across the software development lifecycle, with 94% of developers reporting productivity gains and 83% reporting meaningful defect reduction. However, the firm’s study also shows that AI-generated code requires more testing, that security concerns remain a leading barrier to adoption, and that legacy code continues to limit AI’s effectiveness in development workflows. 

ARLINGTON, Va., July 20, 2026 /PRNewswire/ — New research data from Info-Tech Research Group shows that while AI is changing how software is planned, built, tested, and delivered, many organizations are still working to align governance, security, and review practices with the rapid pace of adoption. The global IT research and advisory firm’s recently published report, AI Adoption and Impact Study: AI in Software Development June 2026 Top 10 Insights, examines how applications, engineering, and product leaders are using AI across the software development lifecycle and where adoption is delivering measurable value or creating new execution risks.

Based on 578 completed survey responses from leaders in Applications, Engineering, and Product who are actively adopting AI across the software development lifecycle (SDLC), Info-Tech’s report finds that 84% of respondents use AI in the Build phase, applying it to tasks such as analysis, design, development, and testing. At the same time, 67% of developers agree that AI-generated code requires more testing than human-generated code, which highlights a central tension for software leaders: AI is improving productivity and quality outcomes, but the practices needed to review, govern, and secure AI-assisted development are not yet keeping pace.

“AI is no longer sitting at the edge of software development. It is becoming part of how teams build and deliver work every day,” says Brian Jackson, principal research director at Info-Tech Research Group. “The challenge for leaders is that faster code creation does not reduce the need for disciplined delivery. It increases the need for clear review standards, security guardrails, and stronger measurement so organizations can turn AI adoption into sustainable value rather than unmanaged risk.”

Info-Tech’s report shows that productivity gains are already widespread. According to the firm’s survey data, 94% of respondents report meaningful productivity improvements from AI, and organizations with higher AI maturity at the Build phase are more likely to report greater developer productivity. The findings also indicate that AI is helping improve quality, with 83% of respondents reporting meaningful defect reduction in shipped code, including 54% reporting a 2x reduction, 21% reporting a 5x reduction, and 7% reporting a 10x or greater reduction.

However, the report insights also reveal that adoption is advancing faster than process maturity. Among developers using AI at the Build stage, Info-Tech reports that only 37.4% describe their AI maturity level as formal or better. These findings suggest that without standard operating procedures, production-readiness criteria, and clear review requirements for AI-generated code, organizations risk inconsistent quality outcomes as AI adoption scales across teams.

Key Findings From Info-Tech’s AI in Software Development Study
Info-Tech’s AI Adoption and Impact Study: AI in Software Development June 2026 Top 10 Insights report identifies several findings that applications, engineering, and product leaders should consider as they expand AI use across the SDLC:

AI is widely used in the Build phase, but review requirements are increasing. The report finds that 84% of respondents use AI in the Build phase, while 67% agree that AI-generated code requires more testing than human-generated code. The findings indicate that AI may shift developer time from writing code to reviewing and validating code, even as overall efficiency improves.AI maturity remains behind adoption. The three most popular AI tools used in the Build stage are integrated development environment (IDE) plug-ins, AI chatbots, and agentic tools. Yet only 37.4% of developers using AI at the Build stage report formal procedures or better, suggesting that many teams are using AI in an ad hoc way without mature governance or review practices.Security and quality concerns continue to limit adoption. Across all organizations surveyed, security and IP concerns are the top AI adoption challenge at 48%, followed by output quality concerns at 42%, skills gaps or training at 34%, data readiness and quality at 26%, and poor tool integration at 24%. Security concerns are especially prominent in medium and large organizations.Legacy code remains the biggest workflow roadblock. The report finds that 51% of respondents say AI breaks on complex or legacy code, making it the most common personal roadblock to AI use in development workflows. AI code not passing quality gates follows at 46%, while inconsistent skill levels across teams are cited by 36.7% of respondents.Experience shapes how teams use and govern AI. Practitioners with more than 15 years of experience are nearly twice as likely to use AI security tools as those with 3 to 7 years of experience. They are also more likely to raise security or codebase context concerns, suggesting that experienced practitioners play an important role in applying AI more carefully.Developer roles are beginning to shift. Less experienced developers are more likely to report speed and efficiency gains from AI, while more veteran developers are more likely to report shifting their time toward reviewing and validating AI-generated code. Info-Tech’s findings suggest that leaders should ensure review processes include appropriately experienced staff before AI-generated outputs move into production.

The report also highlights a perception gap between product, engineering, and applications teams. When asked whether vibe coding with AI guarantees faster releases with zero errors, product respondents were the most likely to agree, while applications practitioners were the most skeptical. Info-Tech notes that this gap creates risk when delivery commitments are made before the teams responsible for quality have assessed the work.

“AI-assisted development can produce real gains, but the closer teams are to the code, the more they recognize the need for scrutiny,” explains Jackson. “Organizations should not treat AI as a shortcut around engineering discipline. They should use it as a reason to make security review, production-readiness standards, and quality measurement more explicit across the SDLC.”

Based on the data findings, Info-Tech recommends that software leaders focus on building practical governance around the highest-volume AI use cases first. This includes defining criteria for when AI-generated code is production-ready, establishing review expectations for security and quality, involving engineering and applications teams in AI adoption decisions, and tracking defects by category to understand where AI is improving outcomes and where human oversight remains critical.

The AI Adoption and Impact Study: AI in Software Development June 2026 Top 10 Insights report is part of Info-Tech’s ongoing AI Adoption and Impact Study. The research provides evidence-based data and expert analysis to help IT leaders understand how AI is affecting software development, where it is creating measurable benefits, and where barriers to integration and value delivery remain.

For exclusive and timely commentary from Info-Tech’s experts, including Brian Jackson, and access to the complete AI Adoption and Impact Study: AI in Software Development June 2026 Top 10 Insights report, please contact pr@infotech.com.

About Info-Tech Research Group
Info-Tech Research Group is the “get things done” partner for over 30,000 IT, HR, and marketing leaders worldwide. The fastest growing research and advisory firm, Info-Tech enables leaders to make well-informed decisions and transform their organizations through AI, strategic foresight, step-by-step methodologies, practical tools, industry-leading advisory, and training programs. For nearly 30 years, tens of thousands of private and public organizations have trusted Info-Tech to lead their most important initiatives through periods of change and deliver outcomes that truly matter.

To learn more about Info-Tech’s HR research and advisory services, visit McLean & Company, and for data-driven software buying insights and vendor evaluations, visit the firm’s SoftwareReviews platform.

Media professionals can register for unrestricted access to research across IT, HR, and software, and hundreds of industry analysts through the firm’s Media Insiders program. To gain access, contact pr@infotech.com.

For information about Info-Tech Research Group or to access the latest research, visit infotech.com and connect via LinkedIn and X.

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SOURCE Info-Tech Research Group

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RTX’s Pratt & Whitney Valox™ 1500 Engine Completes Key Design Milestone

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Valox 1500 design set to deliver an optimal mix of affordability, performance and speed to market for autonomous platforms

LONDON, July 21, 2026 /PRNewswire/ — Farnborough International Airshow — Pratt & Whitney, an RTX (NYSE: RTX) business, has successfully completed a key design milestone for its Pratt & Whitney Valox™ 1500 engine, a new powerplant intended for semi-autonomous collaborative platforms. A comprehensive digital assessment confirms the design is on track to deliver an optimal mix of performance, affordability, and speed to market.

“This milestone reflects Pratt & Whitney’s agility and commitment to delivering critical capability to the warfighter at speed,” said Jill Albertelli, president of Pratt & Whitney’s Military Engines business. “By optimizing the engine design for reduced mission life and moving beyond traditional development timelines, our team is bringing forward a more affordable, scalable propulsion solution for emerging operational needs.”

Leveraging proactive investments in digital engineering, Pratt & Whitney has significantly de-risked the development timeline and is now focused on maturing the design for follow-on ground testing. In late 2025, Pratt & Whitney received a contract award valued at more than $10 million from the U.S. Air Force to advance the engine design.

Pratt & Whitney recently unveiled the Pratt & Whitney Valox™ engine family, which is engineered to deliver the speed, precision, and affordability required for modern collaborative combat systems and a broad range of emerging applications.

About Pratt & Whitney
Pratt & Whitney, an RTX business, is a world leader in the design, manufacture and service of aircraft engines and auxiliary power units for military, commercial and civil aviation customers. Since 1925, our engineers have pioneered the development of revolutionary aircraft propulsion technologies, and today we support more than 90,000 in-service engines through our global network of maintenance, repair and overhaul facilities.

About RTX
With more than 180,000 global employees, we push the limits of technology and science to redefine how we connect and protect our world. With industry-leading capabilities, we advance aviation, engineer integrated defense systems for operational success, and develop next-generation technology solutions and manufacturing to help global customers address their most critical challenges. The company, with 2025 sales of more than $88 billion, is headquartered in Arlington, Virginia.

For questions or to schedule an interview, please contact corporatepr@rtx.com

 

View original content:https://www.prnewswire.com/news-releases/rtxs-pratt–whitney-valox-1500-engine-completes-key-design-milestone-302830230.html

SOURCE RTX

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CLO zFab Kit Now Available Globally: AI-Powered Fabric Digitization, No CLO License Required

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Standalone solution available via CLO-SET brings fast and accurate cutting-edge fabric digitization technology to brands, vendors, fabric mills and supply chain partners worldwide

NEW YORK, July 21, 2026 /PRNewswire/ — CLO Virtual Fashion today announced the availability of the CLO zFab Kit, a revolutionary AI-powered fabric digitization solution, now available for order and shipping to customers worldwide. The biggest news for the industry: the CLO zFab Kit can operate as a standalone solution without needing access to the CLO software to operate. Brands, vendors, fabric mills, fabric agents, and supply chain partners can digitize fabrics with full accuracy and produce ready-to-use digital materials via the web using CLOFAB via CLO-SET; a CLO software license is not needed.

“We’ve been eager to come up with ways to address some of the pain points of fabric digitization that our users and clients were going through. Quality was inconsistent, devices were slow and difficult to operate, pricey and often locked behind specialist workflows,” said Justin Kim, 3D Design & Implementation at CLO. “The CLO zFab Kit closes the gap. And by making it truly standalone via the web on CLO-SET, we’re putting accurate digital fabric in reach of the entire supply chain, not just the design teams already using CLO.”

What the CLO zFab Kit Delivers

The CLO zFab Kit combines three pieces of purpose-built hardware (zFab Cutter, zFab Scanner and zFab Draper) with CLO’s AI-powered software to capture a fabric’s physical and visual properties from a single circular sample. The output is a high-fidelity digital fabric, including PBR maps and physical property data, ready to drop into any workflow.

Three things set it apart:

Superior Accuracy. Replaces error-prone manual measurement with a streamlined cutting, scanning and analysis system, producing digital fabrics that can effectively drive production decisions.AI-driven Automation. Powered by proprietary AI and trained on CLO and swatchbook’s extensive fabric dataset, the CLO zFab Kit speeds up digitization while keeping results consistent across operators and locations.Seamless Integration. Outputs work natively in CLO’s platform and export cleanly to other 3D environments – no rework, no format gymnastics.

 

Built for the Fashion Supply Chain

While the CLO zFab Kit perfectly complements design teams using the CLO software, it was purposefully built with fabric mills, vendors, sourcing teams, and material libraries in mind. By providing suppliers with the best tools to create high-quality digital fabrics quickly, easily and consistently, the CLO zFab Kit can help cut physical sample shipments, shortens material approval cycles, and gives everyone in the workflow chain cleaner and better data to decide and act with more confidence.

The CLO zFab Kit is available globally for ordering today. It does not require CLO licenses to operate and use. Pricing, configuration, demo requests, and how-to-use tutorials are available at zfabkit.clo3d.com

About CLO Virtual Fashion

CLO Virtual Fashion is the creator of CLO, the leading 3D fashion design software used and trusted by designers, small businesses, and titans of the fashion industry to achieve a seamless digital workflow. With over two decades of research and development in accurate garment simulation, CLO Virtual Fashion’s mission is to empower users at every step of the garment journey, from concept to design, manufacturing to marketing, and fitting to styling. In addition to 3D garment design software, CLO Virtual Fashion’s products include CLO-SET (a cloud-based asset management and collaboration platform), CONNECT (a digital fashion hub and marketplace), and consumer-facing solutions such as e-commerce virtual fittings. CLO’s interconnected and ever-growing product ecosystem is built to power the future of everything related to garments.

View original content to download multimedia:https://www.prnewswire.com/news-releases/clo-zfab-kit-now-available-globally-ai-powered-fabric-digitization-no-clo-license-required-302830468.html

SOURCE CLO Virtual Fashion

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Arcfra Releases Neutree 1.1 to Help Enterprises Optimize GPU Utilization and Govern AI Inference at Scale

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SINGAPORE, July 21, 2026 /PRNewswire/ — Arcfra today announced the release of Neutree 1.1, a Model-as-a-Service platform for enterprise AI inference. The new version adds native GPU virtualization and expanded model governance capabilities, helping enterprises improve GPU utilization while managing model usage, quotas, access control, and security audits across AI applications.

As enterprise AI moves from pilots to production, organizations are running more diverse model workloads, including LLMs, OCR, ASR, embedding, rerank, and other task-specific models. GPU passthrough remains important for high-performance LLM inference, but lightweight and high-concurrency small models can leave GPU memory and compute capacity underused when each workload occupies a full GPU.

Neutree 1.1 adds native vGPU support on top of existing GPU passthrough and logical isolation capabilities. Users can enable GPU virtualization as needed and split GPU resources by memory and compute capacity, allowing one GPU to run multiple model instances for workloads such as OCR, speech, embedding, rerank, and multi-service concurrent inference. For performance-sensitive LLM workloads, users can continue using GPU passthrough to access full-card resources.

The release also provides a global view of node-level GPU usage, helping administrators allocate, schedule, and split resources based on actual demand. With hard-isolated resource partitioning, multiple model instances can run on the same GPU without interfering with each other, improving utilization while maintaining predictable service behavior.

Neutree 1.1 also extends its model gateway with a unified governance layer for internal and external models. As model services are connected to more business systems, platform teams need centralized visibility into usage, quotas, access permissions, and request-level traceability. Neutree helps teams manage token usage, request activity, API key quotas, rate limits, concurrency limits, model access scopes, access logs, and security audits without changing existing application calling patterns.

Neutree is a key component of Arcfra’s agentic AI infrastructure for AI inference. Together with Arcfra Enterprise Cloud Platform, it helps enterprises build production-grade, high-performance, and governable model inference infrastructure across compute, storage, Kubernetes, and observability layers.

Foxconn, the world’s largest electronics manufacturer, was among the first customers to try Neutree. By using its existing Arcfra infrastructure as a production-grade AI foundation, Foxconn adopted Neutree to streamline model delivery and unify compute and model resource management.

Neutree 1.1 is now open source on GitHub. For Neutree Enterprise, contact Arcfra.

View original content:https://www.prnewswire.com/apac/news-releases/arcfra-releases-neutree-1-1-to-help-enterprises-optimize-gpu-utilization-and-govern-ai-inference-at-scale-302830475.html

SOURCE Arcfra

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