IBM has launched Bob, an AI-first software development platform designed to automate the full software development lifecycle while embedding governance, security and audit controls for enterprise teams. The platform spans planning, coding, testing, deployment and application modernisation, and integrates models from Anthropic, Mistral AI and IBM’s Granite family to route tasks based on accuracy, latency and cost.
IBM is positioning Bob around governance, security and operational oversight at a time when many AI coding tools remain focused on developer productivity. The company said enterprises are struggling to balance faster software delivery with legacy infrastructure complexity, compliance obligations and the risks of pushing AI-generated code into production without sufficient oversight.
Bob uses role-based AI agents across the software development lifecycle to automate tasks spanning discovery, planning, design, coding, testing, deployment and operations. IBM said these workflows can be governed through reusable playbooks, approval checkpoints and human review processes designed to keep developers in control of automated actions.
Security capabilities are embedded directly into the platform rather than added later. IBM said Bob includes prompt normalization, sensitive data scanning, real-time policy enforcement and AI red-teaming tools designed to reduce risks tied to AI-generated code. Its command-line interface, BobShell, also creates auditable records of agent actions, giving enterprises greater traceability across development workflows.
IBM is also targeting one of the largest cost burdens in enterprise IT: application modernisation. The company said Bob can coordinate code migration, testing, documentation updates and pipeline changes as part of broader legacy upgrades. IBM cited customer Blue Pearl, which used the platform to complete a Java upgrade in three days instead of a typical 30-day process, saving more than 160 engineering hours.
The launch reflects broader enterprise pressure to accelerate software delivery while maintaining oversight of AI-generated code, particularly as modernisation costs and compliance requirements continue to rise.