LEGACY MODERNIZATION
Legacy System Modernization
We eliminate key-person dependencies from legacy systems without the full-rewrite risk. We modernize incrementally – your system stays in production throughout, and every engineer we leave behind understands it end to end.
Your system stays live throughout. No big-bang rewrites.
The real risk isn’t technical debt
Nobody fully understands the system anymore. The person who does is stretched across three other priorities and thinking about their next role. When they leave, they’ll take undocumented business logic with them. The kind that lives in comments, tribal knowledge, and commit messages from 2017.
Nobody owns the full picture
The system runs, technically. The team maintains it, barely. Critical business logic lives in one person’s head – and they’re thinking about their next role.
Rewrite proposals die in risk analysis
The rewrite got proposed two years ago but never survived the risk analysis. Meanwhile the strangler pattern is half-implemented and the old system still handles edge cases nobody mapped.
Two systems, neither complete
There are two copies of critical features – one in the old system and one in the new. The old system still handles 7% of edge cases nobody mapped. The migration is stuck in limbo.
One resignation away from crisis
The real risk isn’t the technology. It’s that your system’s most critical knowledge lives in one person’s head. When they leave, the knowledge walks out the door.
How we modernize without the rewrite risk
We don’t propose a full rewrite. Instead, we embed a senior team that works in parallel: learning the system as it actually works and incrementally replacing components while the old system stays live. The bus factor goes from one to five.
Parallel tracks, zero downtime
The old system keeps running alongside the new one. Every sprint delivers working software that handles real production traffic. No big-bang switchover.
Knowledge spreads, not walks
We pair with your engineers, write documentation, and build onboarding flows. When we leave, the bus factor stays high because the knowledge is in the system, not in our heads.
Your team runs it, not us
The result is a system your team can maintain and extend without the six-month blackout of a full migration. The next hire is productive in weeks, not months.
Phoenix – 8 years of methodology, productized in one platform
xLab had a proven MMM methodology built over eight years – but productizing it for clients was not their core focus. We rebuilt it as a platform their junior team could operate independently, cutting model delivery from months to days.
8yrs
Methodology encoded
Days
Per model (was months)
Junior
Team self-sufficient
How we work
Stage 1
System archaeology
We spend the first month understanding what the system actually does, not what the documentation says. We map data flows, find undocumented business logic, and identify the components that look dead but handle edge cases nobody remembers. No code gets written until we understand what we’re touching.
Stage 2
Incremental migration
We replace components one at a time. The old system keeps running alongside the new one. Every sprint delivers working software that handles real production traffic. No big-bang switchover. It’s working now and expanding every two weeks.
Stage 3
Knowledge transfer
Your team runs the new system, not us. We write documentation, pair with your engineers, and build onboarding flows so the next hire is productive in weeks, not months. When we leave, the bus factor stays high because the knowledge is in the system, not in our heads.
What you won’t experience with us
We don’t subcontract. The senior engineer who starts your project is the one who finishes it. There’s no sales team that disappears after signing, and no B-team that shows up on day one while the A-team moves to the next deal.
You get weekly reviews with working software, not slide decks about progress we can’t demonstrate. If we’re behind, you’ll know before we do because you’re looking at the same codebase.