Artificial intelligence has already taken over one of the most time-consuming parts of software development: writing code. Now, companies face a new challenge as they work through the flood of AI-generated output. The focus has shifted toward reviewing, validating, and ensuring that the code meets quality and security standards.
A survey of DevSecOps professionals highlighted this shift, with 85% agreeing that AI has shifted the bottleneck from code creation to code review and validation. This shift is creating demand for smarter solutions like International Business Machines Corporation’s IBM Bob.
Instead of keeping AI locked inside separate tools designed for individual tasks, Bob creates a connected foundation that supports collaboration across the entire software development lifecycle. In fact, IBM expanded Bob’s capabilities on Thursday, July 9, by unveiling major updates to its agentic software development platform.
Bob matches models to specific tasks, coordinates AI execution across agents, and gives organizations clearer visibility into productivity, quality, performance, and costs through the newly launched Bobalytics platform, helping enterprises scale AI with greater control.
Based in Armonk, New York, IBM has weathered enough technological shifts to understand the rapid pace in which industries change. The company builds software, provides IT consulting, and continues to offer hardware solutions. IBM leans on a powerful collection of businesses and technologies, including Red Hat, watsonx, and its long-standing mainframe operations. These platforms help some of the world’s largest organizations keep critical data moving securely across industries.
However, IBM stock has taken a more measured path compared with some of its faster-moving technology peers.
Today, IBM announced major updates to IBM Bob, architected for agentic software development across the enterprise software development lifecycle. This release introduces Premium Packages, new architectural capabilities, enterprise administration enhancements and expanded regional deployment options designed to help organizations modernize, govern and optimize AI-powered software engineering at scale.
Agentic software development is rapidly reshaping how enterprises build, modernize, and maintain software. Organizations are moving beyond AI-assisted coding toward agentic software development, where AI helps plan, execute, validate, secure and operate software across the entire software development lifecycle, not just in the IDE.
As AI becomes embedded throughout enterprise engineering, the challenge is no longer simply generating code, it is understanding, modernizing, governing and evolving complex enterprise systems with speed, confidence and control. That challenge is especially clear in modernization.
Long-lived systems often contain deeply embedded business logic, undocumented dependencies, brittle validation paths and institutional knowledge accumulated over years of production use. Successful modernization depends on more than converting code. It requires understanding complex systems, preserving business intent, validating changes, governing risk and coordinating work across the software development lifecycle.
IBM is uniquely positioned to solve this challenge. Decades of experience modernizing Java, IBM i and IBM Z environments are now embedded into Bob through purpose-built workflows, reusable skills and platform-specific expertise that help enterprises modernize with greater consistency, governance, and confidence.
We are excited to introduce the launch of new IBM Bob Premium Packages, a new way to extend Bob with platform-specific capabilities, workflows and expertise. Enterprise development isn’t one-size-fits-all. Modernizing a Java application requires different knowledge, tools and workflows than working with IBM i systems or mission-critical mainframe applications.
Each environment carries its own architecture, runtime assumptions, integration patterns, validation needs and operational constraints. Premium Packages bring domain intelligence and decades of enterprise expertise directly into Bob while maintaining a consistent developer experience.
This matters because enterprise teams need AI that supports the full lifecycle of platform-specific engineering work, not only one-time migration projects. With IBM Bob Premium Packages, teams can apply platform-aware AI to everyday development, troubleshooting, documentation, testing, modernization and governance across critical Java, IBM i and IBM Z environments.
Premium Packages extend IBM Bob with: Initial offerings include the IBM Bob Premium Package for Java Modernization, IBM Bob Premium Package for i and IBM Bob Premium Package for Z. These packages build on Bob’s core capabilities as an AI-powered development partner that plans, executes, validates and governs multi-step software development and modernization tasks across the SDLC.
Each package gives teams specialized capabilities for the platforms that run the business. The Premium Package for Java Modernization helps teams modernize and maintain enterprise Java applications through guided, repeatable workflows for version upgrades, runtime modernization, UI transformation, testing and security remediation across complex application estates.
The Premium Package for i helps RPG and IBM i teams develop, understand, document, troubleshoot and modernize applications directly in the context of their existing IBM i environments. Its standout architectural capability is the Native Connection, which allows Bob to read source members directly from QSYS and interact with IBM i through native workflows. This reduces the friction of the traditional export-edit-import loop and helps developers work closer to the system they maintain.
The Premium Package for Z helps mainframe teams understand, develop, document, refactor and modernize large-scale IBM Z applications with greater system awareness and governance. A key foundation is Z Understand, the underlying static-analysis platform that processes large mainframe estates across COBOL, PL/I, assembler, JCL and related artifacts into a query-able repository. This allows Bob to write deterministic queries against application metadata instead of relying on probabilistic code generation.
Early client engagements demonstrate the value of this approach: how platform-specific expertise and structured workflows can significantly accelerate modernization while reducing deployment risk and preserving application quality.
Alongside Premium Packages, this release introduces a unified architecture built around a shared agent and harness, providing a common execution foundation for how it plans, executes and coordinates development work across every experience. Architected for agentic software development, Bob is designed to bring AI capabilities wherever software engineering work happens, from planning and development through testing, CI/CD and operations, rather than confining AI to a single development interface.
The shared workflow engine enables reusable, governed, multi-step engineering workflows that combine AI agents, enterprise tools, and human approvals into repeatable software delivery processes designed to scale across teams. New architectural capabilities, including native tool calling, parallel execution, subagents and background task orchestration allow Bob to coordinate increasingly complex engineering work more efficiently across the SDLC.
These capabilities enhance responsiveness while enabling more sophisticated agentic workflows to improve day-to-day performance. Parallel tool execution can significantly reduce the time required for complex tasks involving multiple searches, file operations and validation steps. Subagents improve efficiency by performing specialized work in isolated context before returning only the relevant results, while background tasks allow long-running work to continue without interrupting the developer’s workflow.
We’ve also folded Bob’s five modes into three (Agent, Plan and Ask) to further streamline work. Together, these architectural capabilities establish the foundation for IBM Bob to continuously expand with new enterprise workflows, reusable skills, platform expertise and AI-native engineering capabilities as enterprise software development continues to evolve.
As AI adoption expands, development leaders need visibility into usage, governance, optimization and cost. Bob’s new enterprise administration capabilities provide additional tools to help organizations manage teams, monitor consumption, allocate resources and maintain oversight across deployments. These capabilities are designed to help organizations scale adoption responsibly while giving leaders greater transparency into usage patterns and operational outcomes.
A key addition is Bobalytics, IBM Bob’s enterprise analytics system. Bobalytics helps organizations optimize enterprise AI adoption by providing visibility into productivity, quality, governance, usage and cost, enabling engineering leaders to scale AI responsibly while improving software delivery outcomes.
We’re expanding Bob’s global footprint with new regional deployment options in Japan and Europe. These additions help organizations address regional data residency and sovereignty requirements while giving global teams greater flexibility in how they deploy and adopt Bob. As enterprise AI adoption grows, providing deployment options that align with local regulatory and organizational requirements remains a key priority.
