IBM Bob expands beyond code generation to orchestrate the entire software development lifecycle

IBM Bob expands beyond code generation to orchestrate the entire SDLC

The new release adds multi-agent workflows, parallel execution and built-in governance as enterprises look beyond AI coding assistants to accelerate software delivery. Enterprises are using AI to write more code than ever before; anywhere between 25% and 75%, depending on who you ask. This means developers are moving to other parts of the process, where they run into whole new sets of problems. IBM rolled out its IBM Bob agentic software development platform earlier this year to help developers across the entire software development lifecycle (SDLC), rather than just in single interfaces or isolated tasks. To build out the platform, IBM Thursday announced a series of updates, including new multi-agent capabilities, parallel tool calling, and built-in cost and use analytics. The company also announced three specialized workflows geared specifically to Java modernization, its IBM i operating system (OS), and its mainframe architecture, IBM Z.

IBM Announces Major Updates To IBM Bob Agentic Software Development Platform

IBM announced major updates to IBM Bob, its agentic software development platform, including new multi-agent capabilities, built-in AI cost and use analytics, and pre-built, specialized workflows for modernizing enterprise systems. IBM Bob is architected to bring AI capabilities wherever software engineering work happens. Bob provides a unified foundation for teams to coordinate across the software development lifecycle. Bob can now optimize across the execution system, not just model selection. Bob matches models to tasks, coordinates AI execution across agents, and provides organizations with visibility into productivity, quality, performance, and cost through the newly launched Bobalytics, to help enterprises optimize AI at scale. Structured, repeatable workflows help reduce variability so teams can deliver reliable, auditable results at enterprise scale. IBM Bob now has pre-built workflows available that teams can customize and extend for their own environments to ensure outcomes are consistent and auditable, regardless of who runs it. IBM Bob Premium Packages for IBM Z, IBM i, and Java Modernization, are each opinionated workflows built on decades of IBM's domain experience that optimize AI for enterprise teams that need to do large-scale modernization. Built-in usage visibility and cost optimization: Users can now access Bobalytics, a new feature that helps them monitor consumption, allocate resources and maintain oversight so they can scale AI according to their internal mandates. Parallel, model-native tool calling: Bob now allows models to request several tools in one turn and run them together. Subagents manage context at scale: Every exploratory step an AI takes, whether it's file reads, searches, or function traces, can bloat the context window and drive up cost. Now Bob subagents handle complex work in an isolated context, to deliver fast responses while helping manage cost. The latest version of IBM Bob is available for download and for more details on the new capabilities and features. IBM has spent decades at the center of enterprise modernization across mainframes, IBM i systems, and Java codebases that global businesses run on. Bob's first three premium packages translate IBM's institutional knowledge into AI-native workflows that are structured, repeatable, auditable and purpose-built for the environments other tools weren't designed to handle. Premium packages available now include: IBM Z: Mainframe environments sit at the core of global banking, insurance and commerce, and have historically been the hardest places for AI to help. Bob now addresses this by bringing AI-native application modernization to IBM Z for the first time with COBOL and PL/I modernization and JCL analysis. IBM i: IBM i has powered mission-critical operations at enterprises worldwide for decades. Bob is bringing AI-native development to these environments for the first time, with remote file system integration, IBM i-specific modes and tools, and workflows built around the operational patterns of IBM i shops. Java Modernization: Enterprise Java portfolios remain some of the largest and most complex modernization challenges in today's software landscape. Bob delivers AI-guided workflows for Java modernization, including migration to Java 25, large-scale refactoring and dependency analysis at scale, in a structured and repeatable manner.