Artificial intelligence (AI) coding assistants can make individual coding tasks appear faster, while organizational delivery metrics lag. The speed may show up in commits and pull requests (PRs), while customer-visible delivery stays flat. Those gains get absorbed somewhere between the individual keyboard and the production release, lost to downstream bottlenecks. Vice Presidents (VPs) and Directors […]
One of the challenges I often hear from our automotive customers is that a large portion of time disappears into tasks that are both very manual as well as very tedious. An example of one of these tasks is scanning standards or regulatory documents, finding consistencies both between the standards and their internal requirements, then tracing them […]
Agent-first software workflows can begin with an empty git repository and a team of coding agents. By shipment, application logic, tests, continuous integration (CI) configuration, documentation, and internal tooling may all come from agents. The shift moves engineering work to a different layer. The job now is to design the specs, constraints, tools, and feedback […]
Requirements, code, and verification artifacts often live in different systems. Engineers switch between tools to understand requirements, implement functionality, and document traceability. By the time an audit arrives, teams may spend days or weeks proving that what they built matches what was specified. That gap shows up often in regulated engineering environments. Security requirements span […]
AI for Engineering Managers: Where It Helps and How to Start Six months into a major program, an engineering manager discovers that three separate teams have been building against different requirement baselines. Nobody catches the misalignment until integration testing, when two subsystems fail to communicate. Rework costs the program six weeks and an entire sprint’s […]
Imagine a state agency deploys an AI tool to help draft procurement requirements. The tool is fast, the outputs look good, and program staff start using it across multiple projects. Six months later, the inspector general requests documentation showing how a specific contract requirement was developed, who approved it, and how it connected to the original policy […]
Jama Software recently announced that Jama Connect® now delivers a Model Context Protocol (MCP) server. This may appear as a mere technical enhancement, but it represents something more fundamental: a shift in how engineering organizations can operationalize AI within governed, traceable environments. Requirements and traceability management platforms have long served as repositories for structured engineering […]
Six months into an AI-assisted development push, a systems engineering team ran its first traceability audit. A significant share of the code generated by their AI coding agent had no traceable link back to any documented requirement. Test cases existed for features nobody had specified. Other features, ones the team had explicitly scoped, were missing […]
Accelerate Compliance and Requirements Review with AI Expert Recommendations at the Click of a Button Reviewing requirements and their associated compliance material is an essential component of developing a quality product. However, review time can often be consumed by arguing over the minutiae of syntax, grammar, and other secondary aspects of a requirement, rather than […]
As of today, we have completed the re-architecture of Jama Connect to AI-Native. This journey began two years ago, when we made the hard decision to re-architect to fully enable regulated, multidisciplinary engineering organizations to transition to AI-Driven Development. At the time, it was an aggressive decision given the level of investment, the uncertainty in […]
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