Cadence Says Its AI Super Agent Can Deliver 15× Engineering Productivity

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Atlassian Says AI Use Rose 65%—But Developer Velocity Only 15%

Atlassian introduced new Jira and Teamwork Graph capabilities for coordinating work between developers and coding agents. Teams can generate agent-ready specifications, assign issues directly to agents, monitor sessions, automate engineering loops, and compare AI costs with delivered output.

Atlassian says AI usage has increased 65%, while developer velocity improved only 15%, with average productivity gains closer to 10%. The gap suggests that context, planning, and orchestration—not model capability—are becoming the main constraints on enterprise coding agents.

PwC and OpenAI Put Agents Across the Customer Journey

PwC launched a suite of agentic contact and service solutions built with OpenAI’s multimodal APIs. The agents can handle voice and digital conversations, identify customer intent, take actions across enterprise systems, and continuously improve using operational feedback.

The offering connects marketing, sales, commerce, and service workflows rather than treating the contact center as an isolated channel. A dedicated PwC–OpenAI center of excellence will help companies move deployments from experimentation into production.

Cadence Claims Its Engineering Super Agent Can Deliver 15× Productivity

Cadence introduced AuraStack AI Super Agent, an agentic platform for printed-circuit-board design and advanced semiconductor packaging. Built into Allegro AI Studio, it coordinates specialized agents across planning, implementation, verification, and multiphysics analysis.

Cadence claims the platform can improve productivity by as much as 15× and cut time to market by up to 2×. The launch shows agents moving beyond software development into high-value physical engineering workflows where design errors can cost millions.

Oak Raises $60 Million to Give Every AI Agent an Identity

Oak emerged from stealth with a $60 million seed round co-led by Accel, Greylock, and CRV. The company is building an AI-native identity operating system that manages employees, software, machines, and autonomous agents through one live identity graph and control plane.

Its product is generally available and already deployed with enterprise customers. The unusually large seed round signals that identity and access management for non-human workers is becoming a foundational layer of the agent economy.

Eightfold Says Its Interview Agent Cut Hiring Cycles From 42 Days to Under a Week

Eightfold AI introduced Candidate Agent, a 24/7 hiring assistant that communicates through SMS and WhatsApp in more than 24 languages. Candidates can use it to discover jobs, complete applications, schedule interviews, receive follow-ups, and transition into Eightfold’s AI Interviewer.

Early AI Interviewer customers reportedly reduced hiring cycles from 42 days to less than one week and cut time-to-interview by as much as 90%. The launch moves recruiting agents from internal HR copilots toward owning the entire candidate journey.

Autonomize Wants Clinicians to Build Healthcare Agents in Minutes

Autonomize AI launched Genie AI, a healthcare-native builder that lets clinicians, nurses, and operations teams create agents and workflows through natural-language instructions. The system is designed to understand clinical processes, regulatory requirements, and enterprise healthcare systems without requiring users to write code.

Autonomize says workflow ideas that previously faced six-month development queues can be turned into governed, enterprise-ready applications in minutes. Strategically, the company is positioning domain experts—not centralized IT teams—as the next generation of agent builders.

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