StackRails, a software company based in Dublin, has launched a product that gives AI coding agents context about a company’s systems before they write code. The company announced the release on November 3, 2026.
The tool maps how code and systems depend on each other across a business. It uses the company’s own graph technology to build that map.
StackRails said the product is available now. The company plans to share more details at Gartner IT Symposium/Xpo, which runs November 9 to 12, 2026, at the Barcelona International Convention Center.
Why StackRails Was Built
Founder Alexander Wheeler said the product grew out of problems his own team faced. “Our engineers push AI coding to its limits every day, on large and complex codebases,” he said.
Wheeler said the team adopted AI earlier than most companies. He said they soon found that AI agents kept making breaking changes in large codebases spread across many repositories.
“So we built StackRails,” Wheeler said. The tool is meant to make sure an AI change fits the existing architecture and does not break anything downstream.
StackRails gives AI agents architectural context and the company’s policies before they write code. It then checks the result against those same policies.
Co-founder Magnus Backström said the product is not meant to replace existing tools. “Enterprises already pay for AI coding tools. StackRails doesn’t replace them; it makes them effective,” he said.
Backström said StackRails works with coding agents such as Copilot, Claude Code and Codex. It gives these agents knowledge of a company’s own systems before they write.
He said this should lead to fewer engineering hours and tokens spent over time. Those resources are often used to rediscover the codebase or fix changes that broke something downstream, according to Backström.
How the Product Works
StackRails connects code, infrastructure, APIs, data flows, documentation and engineering policies into one architecture model. The model shows how systems work and what a change will affect.
Coding agents receive this context through the StackRails plugin. The company said this helps new code fit the existing codebase instead of adding poor design choices or shadow code.
The tool also checks each pull request against a company’s policies. It reports any change that breaks a policy, and the company’s repository settings decide whether a failed check stops the merge.
StackRails also runs AI architecture reviews. These reviews look for technical risks and policy breaches and suggest fixes.
The company said the result is code that needs fewer rewrites before it reaches production. Mapping the full system also creates documentation that stays up to date, according to StackRails.
“Once your whole system is mapped, you get a complete picture of it, with documentation that stays up to date,” Wheeler said. He added that anyone on the team can ask their coding agent how part of the system works.
Wheeler said this means knowledge no longer sits with the one or two people who built a system. The product is available now, ahead of the Gartner event in Barcelona next week.
