Move off the system that everyone is afraid to touch.
Algoramming modernises legacy software from Dhaka, Bangladesh for teams across the UAE, Qatar, Saudi Arabia, the US, the UK, and Australia. We work behind the strangler pattern, replacing an ageing system piece by piece with no downtime, so the business keeps running, data moves safely, and your team ends up with a codebase a new engineer can read.
We move you off the system nobody wants to touch, one slice at a time, so you get the benefits of modern software without the all-or-nothing rewrite that so often stalls.
What this specialism means in practice, written for the people who buy it and the people who will live inside the product after launch.
Covered end to end4
01
Incremental legacy modernization beats a big-bang rewrite
The full rewrite is the project most likely to fail, because it asks the business to wait months for value while carrying the old system anyway. We prefer the strangler pattern: stand a modern layer in front of the legacy system, move one capability across at a time, and route traffic to whichever side owns it. The old system shrinks release by release, the business never stops, and you can pause or re-sequence whenever priorities change.
02
Safe data migration is where legacy modernization succeeds or fails
Most migration pain is data pain: mismatched types, silent truncation, records that were never as clean as anyone believed. We profile the real data first, write migrations that are reversible, and reconcile row counts and checksums on both sides before any cutover. Where the legacy schema hides business rules, we surface them into code and tests, so the knowledge stops living only in one person's head.
What you get
Outcomes, not deliverables.
We measure success in shipped value, not tickets closed. Every engagement is anchored to a few outcomes both sides can defend.
Two-week shipping rhythm
01
A risky, ageing system retired without a big-bang cutover
02
Data migrated with verification, not hope
03
Faster delivery once the modern surface takes over
04
Documentation and tests so the next change is not frightening
What we deliver
Concrete artifacts, not slide decks.
Everything lands in your repositories, your cloud, and your control. Nothing is locked behind us.
01
Artifact
A modernisation roadmap with sequencing and risk notes
02
Artifact
Incremental replacement behind a strangler facade
03
Artifact
Verified, reversible data migration scripts
04
Artifact
Test coverage and documentation for the new surface
Our process
The same senior team, the same playbook.
Legacy modernisation runs on the custom software playbook. Boring on purpose, predictable by design.
01Discover
→
02Design
→
03Build
→
04Launch
→
05Support
1
Discover
We map your workflows, edge cases, and the metrics that matter before writing a line of code.
Phase 01 / 05
2
Design
We prototype the riskiest screens and integrations early so decisions are made on real interactions.
Phase 02 / 05
3
Build
We ship in two-week iterations against a clear backlog, with code review and CI from sprint one.
Phase 03 / 05
4
Launch
We deploy to your cloud with infrastructure-as-code, runbooks, and a quiet go-live plan.
Phase 04 / 05
5
Support
We watch metrics, respond to incidents, and keep shipping improvements on a steady cadence.
Phase 05 / 05
Our toolkit
Pragmatic tools. Senior judgement.
The everyday kit our team reaches for on this work. None of it is sacred; every choice is justified against the problem.
Interface
Application
Data and APIs
Cloud and delivery
01VS Code
02GitHub
03Postman
04Linear
05Notion
06ClickUp
07Figma
08Slack
09Sentry
10Datadog
Common questions
Things teams ask before signing.
Have a different one? Send a single email; we usually answer within a business day.
01Can you work with a system in a language we no longer hire for?
Yes. Part of the value of the strangler approach is that the old stack keeps running untouched while the new capabilities land on a stack you can actually staff.
02How do you avoid downtime during migration?
We cut over one capability at a time behind feature flags, with the old path ready as an immediate fallback. Most steps are invisible to users.
03What if we cannot afford to modernise everything?
You do not have to. We sequence by risk and value, so you can stop once the painful parts are handled and leave stable pieces as they are.
04What is the strangler fig pattern, and why do you use it?
It means standing a modern layer in front of the old system and moving one capability across at a time, so the legacy system shrinks release by release. We use it because it replaces the risk of a big-bang cutover with small, reversible steps the business never feels.
05Legacy modernization or a full rewrite: which do we need?
A full rewrite is rarely the right first move, because it asks the business to wait months while carrying the old system anyway. Incremental modernization delivers value sooner and lets you stop when the painful parts are handled. We recommend a rewrite only when the old code truly cannot be extended.
06How much does legacy modernization cost, and can we do it in stages?
Cost tracks the number of capabilities moved and how tangled the data is, so staging is built in: we sequence by risk and value and quote stage by stage. A short assessment gives you a roadmap and a cost for the first slice before you commit to the rest.
