GitLab announced the launch of GitLab 18, including AI capabilities natively integrated into the platform and major new innovations across core DevOps, and security and compliance workflows that are available now, with further enhancements planned throughout the year.
Blitzy announced the launch of the Blitzy Platform, a category-defining agentic platform that accelerates software development for enterprises by autonomously batch building up to 80% of software applications.
Designed for building complex software products with precision and ease, Blitzy enables software engineering teams to execute months-long complex product roadmaps in days, equipping enterprises with the power to meet software demands faster than ever before, while maintaining the crucial role of human oversight for the final, intricate stages of development.
Most AI systems to date have operated with System 1 thinking, a term coined in Daniel Kahenman's best seller 'Thinking Fast and Slow'. System 1 thinking drives fast, near instant results for simple, known problems. System 2 thinking is used for complex problem solving that require deep reasoning.
Earlier this month, OpenAI launched "o1," showcasing its System 2 approach, where a single large language model (LLM) uses algorithms to "think" for 20 seconds, significantly improving code quality. Noam Brown, Prominent AI Research Scientist at OpenAI, noted OpenAI's ambition for AI models to think for hours or more. Blitzy has surpassed this milestone, not by building a specialized model but by orchestrating multiple LLMs to collaborate to achieve 8 to 12 hours of "thinking time," during which thousands of specialized, purpose-built AI agents cooperate, plan, build, and validate software based on technical specs. Blitzy's approach unlocks an order of magnitude increase in code quality, precision, and product velocity.
"We built Blitzy to meet the demands of modern software development and believe it will unlock a world where enterprises can quickly build dozens of hyper-personalized software products to serve every use case," said Sid Pardeshi, co-founder and CTO of Blitzy, and former serial AI inventor at NVIDIA who holds 27 patents. "This isn't just a shift in development speed—it's an entirely new approach, where software engineers are empowered to focus on innovation and the most compelling aspects of their work."
In the rapidly advancing field of agentic AI, Blitzy stands out with a platform that leverages cooperative autonomous agents to transform software development. By combining asynchronous bulk building with advanced validation algorithms, Blitzy delivers up to 300,000 lines of pre-compiled, validated code in a single run, streamlining the entire process. Rather than replacing co-pilots, it provides an advanced starting point, allowing engineers to use their preferred co-pilot to finalize projects, typically the last 20%. Blitzy understands existing codebases, generates documentation, and adds features according to product roadmaps, reducing development timelines from months to days and enabling teams to focus on strategic, human-centered tasks.
"At Blitzy, we believe that AI's role is not to replace human ingenuity, but to supercharge it," said Brian Elliott, co-founder and CEO of Blitzy. "The Blitzy Platform 'thinks' for hours to build complex products with enterprise-grade quality that engineers can trust. The final touches—the creativity, the innovation—still rely on the brilliance of human engineers. Blitzy is designed to handle the heavy lifting, allowing engineers to focus on the most compelling and high-value aspects of their work, ensuring that technology and human expertise go hand in hand."
Blitzy provides free access to its platform for anyone with a work email, enabling the swift creation of software requirements and technical specifications based on detailed product descriptions.
Industry News
Perforce Software is partnering with Siemens Digital Industries Software to transform how smart, connected products are designed and developed.
Reply launched Silicon Shoring, a new software delivery model powered by Artificial Intelligence.
CIQ announced the tech preview launch of Rocky Linux from CIQ for AI (RLC-AI), an operating system engineered and optimized for artificial intelligence workloads.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the launch of the Cybersecurity Skills Framework, a global reference guide that helps organizations identify and address critical cybersecurity competencies across a broad range of IT job families; extending beyond cybersecurity specialists.
CodeRabbit is now available on the Visual Studio Code editor.
The integration brings CodeRabbit’s AI code reviews directly into Cursor, Windsurf, and VS Code at the earliest stages of software development—inside the code editor itself—at no cost to the developers.
Chainguard announced Chainguard Libraries for Python, an index of malware-resistant Python dependencies built securely from source on SLSA L2 infrastructure.
Sysdig announced the donation of Stratoshark, the company’s open source cloud forensics tool, to the Wireshark Foundation.
Pegasystems unveiled Pega Predictable AI™ Agents that give enterprises extraordinary control and visibility as they design and deploy AI-optimized processes.
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(link is external), 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.