AI-powered legacy modernization that moves fast without putting production at risk

Every sprint your team spends maintaining legacy code is a sprint not spent building. AI cuts migration time by handling the work that used to make modernization too expensive to start – dependency analysis, documentation, incremental refactoring. We bring the tooling, the playbook, and the production safety model. You bring the codebase

Who has benefited from Boldare's expertise?

See the companies that trusted Boldare to get it done.

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The real cost of a codebase your team is afraid to touch

Every quarter the migration gets postponed, the gap between your system and the codebase you need widens. The problems below are what we hear from every CTO who reaches out – and why they waited longer than they should have.

    1The migration is on the roadmap. It never shipsThe engineers who built the original system have moved on. What's left is undocumented code, implicit dependencies, and tribal knowledge that exists only in the heads of two or three people. Any change carries the risk of breaking something no one knew was connected. AI-generated documentation for legacy code didn't exist as a viable option until recently.
    2Nobody fully understands the codebase anymoreWithout proper LLM orchestration and cost controls, usage scales with every new feature – and the bill follows. Teams end up rolling back AI features they just built, or explaining an invoice nobody approved.
    3The Big Bang rewrite is too risky to authorizeA full rewrite means freezing feature development, running two systems in parallel, and betting months of engineering time on a cutover that may not go cleanly. Most CTOs have seen at least one rewrite go badly. The safer-looking option – doing nothing – just shifts the cost forward.
    4Legacy stack is blocking AI adoptionThe board wants AI features. The roadmap has AI pilots. But the underlying system can't support them – the architecture is too rigid, the data too siloed, the integrations too brittle. Modernizing the stack isn't just technical debt reduction anymore. It's the prerequisite for everything the business wants to build next.
EXPLORE YOUR OPTIONS

AI-assisted legacy modernization: from technical debt assessment to production-ready code

The three phases below reflect how most clients move through a legacy modernization. Each one works as a standalone engagement – come in for a readiness scan before committing to anything larger, jump straight into BUILD if you've already mapped the problem, or bring us in to maintain a codebase you've already modernized.

ASSESS

Legacy AI Readiness Scan

Before any code moves, you need to know what you're dealing with. We map your technical debt, identify migration risk, and give you a prioritized roadmap with time estimates – so you can make the go/no-go decision with actual numbers.
3–5 business daysFixed priceCredited toward Legacy Migration Sprint

WHAT YOU GET:

  • Technical debt map

    Full inventory of dependencies, outdated packages, and undocumented modules across your codebase.

  • Migration risk assessment

    The answer which parts of the system carry the highest risk of breakage and why.

  • Prioritized roadmap

    A sequenced migration plan with AI time estimates per component

  • Go/no-go recommendation

    A concrete recommendation on approach (incremental vs. feature flag migration vs. full sprint) before you commit to anything.

Wondering if your codebase is ready to migrate? – Ask AI to assess it with you

BUILD

Legacy Migration Sprint

The migration itself – run incrementally, with production staying live throughout. We use AI agents for code transformation, documentation generation, and test coverage, with your team reviewing and approving at every checkpoint.
4 weeks per module / phaseFixed price per module / phaseMilestone-basedT&M

WHAT YOU GET:

  • AI-assisted framework migration

    Automated code transformation with human review gates (PHP 7.x → 8.x, Symfony 3–4.x → 7.x, .NET, Java)

  • Feature flag migration

    Incremental cutover so production keeps running throughout the entire process.

  • AI-generated documentation

    Generated for every module touched, including undocumented legacy code.

  • Test coverage report

    Before/after comparison with flagged regressions.

Curious how fast AI could modernize your stack? – Ask AI to walk you through it

SCALE

AI-Assisted Legacy Maintenance

Migration is a point in time. Technical debt is ongoing. After the initial modernization, AI agents run in the background – monitoring for new debt accumulation, flagging outdated dependencies, and keeping documentation current as the codebase evolves.
Single Agent (4–6 weeks)Agent Pipeline (10–20 weeks)Monthly retainerTiered retainer

WHAT YOU GET:

  • Continuous debt monitoring

    Automated code transformation with human review gates (PHP 7.x → 8.x, Symfony 3–4.x → 7.x, .NET, Java)

  • Dependency management

    Automated alerts for deprecated packages, security vulnerabilities, and version drift.

  • AI-generated documentation

    Documentation updated automatically as code changes, no manual effort required.

  • Quarterly architecture review

    A human-led review of the system's direction with recommendations for the next cycle.

Wondering what ongoing AI maintenance looks like for your system? – Ask AI to explore it with you

Your codebase won't modernize itself

A one-week Readiness Scan gives you the migration map, time estimates, and a clear recommendation – before you commit to anything.
START WITH THE READINESS SCAN

See how the AI-powered legacy app migration works in practices

Every approach we use in client engagements is documented – with real numbers, real codebases, and honest accounts of what worked and what needed adjusting.

Legacy application modernization services across PHP, Symfony, Java, and .NET

Every legacy system is different. The technologies below are where we have the deepest experience – but the AI-assisted migration workflow is transferable. We always assess what's feasible on your codebase.

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Trusted by product teams across industries

Here's what clients say about working with us.

Allan Wilson

Allan Wilson

President - Team Alert

"I was really impressed with how much they cared about our product."
Jerome Defillon

Jerome Defillon

Chief Technology Officer – Novolyze

"We were impressed with their capacity to embrace an unknown domain and challenge the strong assumptions presented."
Norbert Baumann

Norbert Baumann

VP R&D – Sonnen

"They treat the customer portal as their product and this resulted in the high quality of their work."
Fabio Zecchini

Fabio Zecchini

Chief Technology Officer – Musement TUI Group

Boldare delivers results that meet our standards and expectations."
Christian Jennewein

Christian Jennewein

Head of Engineering – BlaBlaCar

"Their customer-focused, Agile approach inspired us, and we discovered that we shared a similar mindset."
Head of Software Development

Head of Software Development

Prisma

"They had a very short ramp-up time and were dedicated to delivering."
Zvonko Grujic

Zvonko Grujic

Director Digital Engineering – Maxeon Solar Technologies

"I feel that my opinions and observations matter and that the team will adjust their actions based on our feedback."
COMMUNITY

Where product teams figure out the AI era together

Product Builders | AI-Native is a community for practitioners building digital products in the AI era – run by Boldare, powered by 20 years and 350+ products of hands-on experience.

We regularly go live with guests from product, design, and engineering for honest conversations about what building AI-native actually looks like in practice. Written recaps, articles, and show notes from every session live on Substack.

Why engineering leaders choose Boldare for legacy modernization

A legacy migration is one of the highest-risk projects a CTO can authorize. The partner you choose needs to have run this before – on production systems, with real consequences for getting it wrong. Here's what sets our approach apart.
  • Production experience, not sandbox theory

    We've run AI-assisted migrations on live systems. The playbook we bring to client engagements has been tested where downtime has real consequences.

  • AI does the heavy lifting – your team stays in control

    We use AI agents to handle code transformation, documentation, and testing in parallel. Every checkpoint requires human approval before the next phase proceeds.

  • No code written before you've approved the plan

    You get a full technical debt map, a migration strategy, and time estimates before any implementation begins.

  • We document what we touch

    Every component we migrate gets AI-generated documentation as part of the process – so the codebase you end up with is one your team can actually maintain.

  • Production never stops

    The feature flag migration model means incremental cutover throughout. No big bang, no freeze on feature development, no blind cutover.

Got a legacy system that needs moving?

Describe what you're running, where you want to get to, and how much risk you can take on. We'll come back with a concrete recommendation.

avatar, human profile - Beata Sumera-Górska, Head of Delivery
Head of DeliveryBeata Sumera-Górskabeata.sumera@boldare.com

Application modernization - questions we hear most often

Legacy modernization raises the same concerns across every codebase and every organization. Here are the honest answers.

Should we modernize or rewrite from scratch?

It depends on the codebase – but in most cases, a full rewrite is slower, riskier, and more expensive than incremental modernization. A rewrite requires freezing feature development, running two systems in parallel, and betting months of engineering time on a cutover that may not go cleanly. Incremental modernization with feature flags keeps production running throughout and spreads the risk across manageable sprints. The Readiness Scan gives you a concrete recommendation for your specific situation.

How do you handle codebases with little or no documentation?

Will our development team need to stop feature work during the migration?

How does AI fit into the migration process – and who stays in control?

How long does a migration typically take?

Do we need to commit to the full ASSESS–BUILD–SCALE sequence?

What happens if the migration uncovers more complexity than expected?

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Boldare S.A. z siedzibą w Gliwicach, przy ul. Zwycięstwa 52, zarejestrowana w Sądzie Rejonowym w Gliwicach, X Wydział Gospodarczy Krajowego Rejestru Sądowego pod nr KRS 0000914518, NIP 6312698829, REGON 38958555. Wysokość kapitału zakładowego i wpłaconego 100 000,00 zł.