Opsera Forge Relaunch Turns Legacy Code Into Agent Work

Opsera relaunched on October 28, 2026 as an AI-native software factory, putting a platform called Opsera Forge at the center of its business. The idea is a response to a problem many enterprises already feel: coding assistants have made writing code faster, but they have not made delivering software, modernizing old systems, or measuring AI investment any easier. Opsera Forge is meant to govern everything around the code generation itself.

Opsera Forge works as an enterprise AI harness. It gives teams and AI agents persistent context, guardrails, and traceability, turning legacy logic, architecture, and business intent into reusable living specifications and execution-ready work orders. The goal is software delivery that is faster but still controlled, without the architectural drift that comes from letting agents improvise across a large codebase.

Opsera Forge governs the work around the code

The relaunch reflects a shift Opsera describes as moving from a lifecycle built for people writing every line to an AI software lifecycle where agents and people build together. Coding assistants speed up writing code, and Opsera Forge governs the rest. Across two journeys, from idea to production and from legacy code to modernized code, the platform grounds agents in enterprise context, turns business intent into a living specification, and breaks that specification into reviewable work orders for any model, coding assistant, or Opsera Forge's own agent. A human stays in the loop throughout, with evaluations, security checks, and compliance checks at every stage.

That governance framing is the product's real argument. Enterprises do not only need agents that write code quickly; they need a record of why a change was made, what it was checked against, and who approved it. Without that record, agent-written code becomes a liability the next team inherits. Opsera Forge is designed to make modernization and new development repeatable and governed rather than a series of one-off projects, according to the company.

Legacy modernization as a repeatable factory job

Legacy estates are where the pitch gets concrete. Opsera Forge includes an assessment tool called ForgeScore, which evaluates a legacy codebase and produces an actionable modernization blueprint based on technical risk, architectural complexity, and readiness for AI work. The company says Opsera Forge is already running in production on more than 1,000 projects across multiple enterprises, with a 99.8 percent success rate, and that customers have shortened time to market from two weeks to two days and cut token use by as much as 75 percent.

Belcorp, a multinational beauty company, is named as a customer that has seen task execution times fall sharply. Venkat Gopalan, Belcorp's chief digital, technology and data officer, said in the announcement that the company needed more than faster code: it needed an AI-driven software lifecycle that accelerates time to market, delivers measurable business outcomes, and lets talent focus on strategic work. What once took weeks can now be achieved in minutes with an enterprise-grade modernization blueprint, Gopalan said.

Those customer numbers should be read as vendor-reported results, not independent benchmarks, but they point at the right question for any enterprise considering agent-driven modernization: does the factory actually shorten delivery while keeping the audit trail intact? Security reviews that previously took eight weeks now finish in hours, according to Opsera, which is the kind of claim that matters more than raw code-generation speed.

Open by design, and watching the spend

Opsera Forge is built to work with the tools enterprises already use. It integrates with Anthropic, OpenAI, GitHub Copilot, Cursor, Antigravity, DeepSeek, and Devin, and connects more than 150 tools across development, security, cloud, testing, and delivery. The portfolio also includes versions for Salesforce release automation and for Databricks workflows and data engineering teams. Customers in healthcare, manufacturing, technology, retail, and other industries run the platform in the cloud, on premises, or in hybrid environments.

A companion product, Unified Insights, gives engineering, security, and finance leaders one view of AI investment: which tools, teams, and workflows the spend goes to, how it is changing delivery speed and quality, and whether it is being used responsibly. By connecting AI spend directly to results like lower operating costs and leaner token usage, it tries to answer the measurement problem that Opsera chief executive Kumar Chivukula named in the announcement. Chivukula said AI has changed how code gets written but has not yet changed how software gets delivered, how legacy systems get modernized, or how AI investment gets measured, and that the company rebuilt itself to solve those three problems.

The launch fits a wider pattern in the agent ecosystem this month, where the race is shifting from raw capability to governance and trust. While some institutions are pulling back on agent access, as RBC did when it blocked third-party AI agents from online banking, vendors are building the harnesses, guardrails, and visibility layers that could make agent work acceptable inside large organizations. Related efforts include tools that make websites ready for AI agents. Opsera Forge belongs to that enablement wave: if agents are going to touch production systems and legacy estates, someone has to own the specification, the checks, and the receipts.

Opsera offered an early look at the relaunch on October 1 at its AI-SDLC Summit in San Carlos, California, where more than 100 senior technology leaders discussed autonomous software factories and AI-driven legacy modernization. The company, based in Palo Alto, California, counts Cisco, Workday, Honeywell, Sephora, GuardantHealth, and Eaton among its customers. More details are available in the company announcement and on Opsera's website.