Gartner named Opsera Forge an Honorable Mention in its first Magic Quadrant for AI-Augmented Code Modernization Tools.
What is an anchor actually for?
Not to hold a ship in place forever. It gives the crew control and confidence, something to hold against when the water turns rough. When it’s time to move, the anchor has to come up. Left down after the tide changes, the same anchor that once protected the ship starts dragging it instead.
Legacy systems did the same job for the enterprise. For decades, they helped organizations run the business steadily. They processed releases, enforced controls, and gave engineering teams a foundation to build on.
The tide has changed now. AI changed it. Software is being built faster than the legacy systems were ever designed to handle. Security and compliance expectations keep climbing. The same systems that once created stability now create friction. Releases slow down, visibility fragments, operational cost climbs, and modernization starts to feel harder than it should. The anchor needs to come up. It’s time to ride the AI wave without losing control of the ship.
Opsera Forge lifts that drag without asking you to give up control. It brings governance, automation, and AI-ready intelligence to the way teams build, secure, and release software, across the toolchain you already run.
The Tide Has Changed. AI Changed It.
That anchor sitting on the ocean floor isn’t harmless. The more it stays down, the more it costs to maintain. You’re paying a maintenance tax to keep decades-old code running. The people who understood why it works that way are retiring, leaving, or already gone.
For years, that trade-off still made sense. Modernization was expensive and slow, the old systems mostly still worked, and it kept losing to whatever felt more urgent that quarter. The real risk stayed hidden the whole time. Most CIOs can’t say with confidence which dependencies are load-bearing, which business rules are still active, or what breaks first when something changes.
AI has now changed the cost, speed, and risk profile of transforming enterprise software. By 2029, Gartner expects 90% of software modernization to run through AI-augmented tools, up from less than 10% today. The same research projects AI will cut human modernization labor costs by 60% compared with 2026 levels.
AI also changed the questions enterprise leaders must answer:
- Where do you start? AI expands what’s possible. That same range makes it harder to know which applications, processes, and dependencies to tackle first.
- How do you scale safely? Execution gets dramatically faster. Context, controls, and traceability are what keep that speed from turning into risk.
- What does waiting cost? Legacy systems can look stable right up until they aren’t. Technical debt and disappearing expertise only get more expensive the longer they sit.
AI Coding Agents Make Modernization (Just) Faster
Migrating a large codebase can mean hundreds of engineers, multi-year timelines, and a price tag in the millions, all before the business sees a single new feature ship. AI coding agents can compress that timeline dramatically. What they don’t inherently understand is the decades of intelligence that made your business unique.
Most of what makes modernization hard isn’t visible from the outside. It shows up once the work starts, whether a human team is doing it or an AI agent is.
- Business logic that exists nowhere but the code. Years of fixes and workarounds pile up in systems that were never built to be read, only run. Skip the work of recovering that logic before migration and you get a system that passes every test and breaks in the first week of production.
- Dependencies nobody mapped. Tightly coupled components and circular references mean changing one module can quietly break three others. Sequencing a migration without that dependency mapping will only make things worse.
- Compatibility gaps that surface too late. APIs, data formats, and libraries that worked fine on-premises don’t always have a clean equivalent in a modern target environment. Finding that out halfway through a migration costs far more than finding it during assessment.
- Downtime that isn’t negotiable. Systems running real-time operations don’t get a maintenance window. Migrations that skip parallel running of old and new components put the business at risk the moment they go live.
Many companies are in a hurry to put AI at the forefront of modernization, feeding legacy code straight into a gen AI tool and translating it line by line. This code-and-load approach carries your tech debt straight into a new system, at machine speed, in a language that’s easier to read. It’s the same whirlpool many companies fell into during early cloud migrations a decade ago, when ‘lift-and-shift’ moved applications to the cloud without ever addressing the legacy issues underneath them.
AI coding agents are great at code, but the legacy estate holds decades of business intelligence that was never visible in the code to begin with. Get it wrong, and AI accelerates broken dependencies, business-rule drift, lost exceptions, security and compliance risk, and technical debt.
The goal of your modernization effort isn’t to convert code. It’s to build systems and processes that create more business value. That means giving AI enterprise context, intent, and control, so modernization is faster, safer, and reliable at scale.
How Forge Gives AI the Context, Intent, and Control to Modernize
Context, intent, and control aren’t three separate initiatives. They’re what one platform has to hold together for AI to modernize legacy systems without losing what made those systems work in the first place. That’s what Forge is built for.
What is Forge
Opsera Forge is a governed, spec-driven software factory that transforms legacy code into living enterprise specs. By preserving your unique business context and automating execution, Forge turns your trapped legacy code into faster modernizations, compounding intelligence, and a permanent AI-ready competitive advantage.
Forge enables AI-powered modernization through five connected capabilities:
- Living Context. Legacy code and the institutional knowledge sitting around it get turned into aligned, reusable business and technical context that stays current.
- Spec-Driven Development. That recovered intent becomes execution-ready work: requirements, test cases, architecture, and a clear definition of done.
- Governance. Automated guardrails and human-in-the-loop governance checkpoints keep architectural, security, and policy drift from creeping in while the work is happening, not after. Agents finally get to operate at the speed to modernize safely at scale, because they’re carrying the context, intent, and guardrails.
ForgeScore provides application health measured across eight dimensions, including security, architecture, performance, maintainability, test coverage, infrastructure fit, cost efficiency, and AI adaptability. Instead of a months-long manual assessment, you get a clear answer to what needs fixing, why it matters, and where to invest first.
Opsera Forge named in Honorable Mentions in Gartner’s First MQ for AI-Augmented Code Modernization Tools
In August 2026, Gartner published its first Magic Quadrant for AI-Augmented Code Modernization Tools, signaling that AI-augmented modernization has moved from an emerging idea to a category enterprises now expected to have a strategy for.
Opsera Forge is among six vendors Gartner named as Honorable Mentions in this inaugural report. Forge made that list for reasons that track closely with everything in this piece. Gartner credits Forge with taking a legacy or modern codebase, across eight supported languages, and recovering lost business intent and regenerating accurate documentation, architecture diagrams, and business logic. What comes out the other side isn’t just modernized code. It’s machine-readable specifications, enabling spec-driven development with traceable work items.
That’s the same argument this piece has been making from the start. AI can move fast. What determines whether that speed helps or hurts is whether the AI has the context, intent, and governance a legacy system was never built to hand over on its own. Forge gives AI agents exactly that: the context, intent and governance to modernize at scale.
Ready to modernize without the guesswork? See how Forge helps you move faster, safer, and at scale.
