Legacy Software Modernization
Make aging software safe to change again: an honest assessment, tests around what works, then upgrades or staged replacement with no big-bang cutover.
10 services
Describe the problem in plain words. We'll point you to the right starting point, even when that isn't us.
Consulting from $1,900 · Development from $2,500
Compare all servicesTechnology Consulting · Service 09
Independent architecture and code reviews, technical due diligence and design advice, so big technical decisions rest on evidence, not habit.
What this service is
The most expensive mistakes in software are rarely bugs. They're early decisions about structure, data and dependencies that quietly make every later change slower.
Software architecture consulting is an experienced, independent look at how a system is designed and built: how it's divided into parts, how those parts talk to each other, where the data lives, and how code is tested and released. We review what exists, explain what we find in plain language, and recommend changes ranked by the risk they remove and the effort they take.
We work with engineering teams who want a second pair of eyes, with leaders who need to know whether a supplier's proposal holds up, and with investors who need to understand what they're buying. We favor simple designs. Many systems are better served by one well-structured application than by a fleet of microservices, and we'll tell you when the unexciting option is the right one.
Problems we solve
You don't need an architect on staff to need an architecture review. These are the usual triggers.
What you get
Not every engagement includes every item. Your proposal lists exactly what's in scope, and what isn't.
A written assessment of structure, boundaries, data flow, dependencies and hosting, with diagrams of the system as it really is and a ranked list of recommendations.
A sampled, in-depth read of the codebase covering readability, test coverage, error handling, dependency health and the hotspots where changes and defects cluster.
For investors and acquirers: product quality, team practices, scalability, security, open-source licensing and key-person risk, written for a non-technical reader.
Load tests, profiling, query analysis and failure scenarios that show where the system breaks first, how it recovers, and what it would take to scale.
Authentication, authorization, secrets handling, data protection, dependencies and network exposure examined against common attack patterns such as the OWASP Top 10.
Short, dated documents capturing each significant choice, the options considered and the reasons, so future developers understand why the system looks the way it does.
Endpoints, contracts, versioning, schemas, indexes and data ownership checked for consistency, performance and how well they'll cope with change.
How code gets from a developer's laptop to production (branching, CI/CD, automated tests, environments, monitoring and incident handling), with practical improvements.
Visual model
How the pieces typically fit together on this kind of engagement.
Common use cases
Practical patterns rather than industry labels. The shape of the problem matters more than the sector.
A fast, discreet assessment of a target company's product and engineering team, written up for investors and their deal team.
Before you approve a rebuild or a large change request, an independent check of the design, the estimate and the assumptions behind both.
A launch, a major new customer or a seasonal peak ahead: load tests and capacity planning that show whether the system will cope, and what to fix if it won't.
A structured look at your team, your domain and your scaling needs. For many teams the answer is a modular monolith, split later only if a real need appears.
A delivery that's late, over budget or stuck: an honest review of the code, the plan and the team's practices, ending in a recovery path or a clear case for stopping.
A large prospect has sent a long list of security questions. We review the architecture against it, close the gaps that matter and help you answer accurately.
Our approach
The parts of our method that matter most for software architecture.
Diagrams show what people intended. The code, the database and the deployment pipeline show what actually exists, so that's where we spend our time.
Every extra service, queue and database is something to run, monitor and pay for. We recommend added complexity only when a specific, current problem demands it.
A list of every imperfection helps nobody. You get a short list of what matters, why it matters, roughly how long each fix takes and what can safely wait.
Decision records capture each choice with its context and the alternatives. A year later, a new developer can see the reasoning and change course safely if the context has changed.
Most codebases make sense given the deadlines and knowledge they were built under. We review alongside your developers and aim to leave them stronger, not defensive.
Project stages
Each stage has a defined output and a review point, so you always know where the work stands.
How our process worksAgree the questions to answer, the systems in scope, who receives the findings and any confidentiality terms.
Read-only access to code, configuration, pipelines and infrastructure, mapped into a diagram of the system as it really is.
Conversations with developers, product owners and operations staff about what's hard, what breaks and what they'd change.
Load tests, profiling, dependency and vulnerability scans, and test coverage checks, wherever the questions call for evidence.
A written report with ranked findings and decision records, walked through with your team, leadership or investors.
Optional support while changes are made: design reviews, pairing with your developers and a check that the fixes worked.
Capabilities
Only the capabilities that matter for this service, and nothing we wouldn't actually recommend.
Delivery and engagement
Timescales depend on the size of the codebase, the number of systems in scope and how quickly access is granted. Due diligence can be planned around a deal timetable if we hear about it early.
Who it's for
We work with companies, organizations and individuals. The requirement matters more than the size of the buyer.
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Service FAQ
Probably not yet, and possibly never. Microservices help when many teams need to deploy independently, and they bring network failures, data consistency problems and higher running costs with them. For many teams, a well-structured modular monolith is faster to build and cheaper to run, and it can be split later along clean boundaries if the need becomes real. We'll look at your situation and record the reasoning either way.
We sign confidentiality agreements before any access is granted, use read-only access wherever possible, and share findings only with the people you name. If you want to, we can also prepare a version of the report that's suitable to share with the target company.
No. We review systems, not people. Most codebases reflect the deadlines and constraints they were built under, and our findings say so. An outside review is often the easiest way for a team to get time approved for improvements it has wanted for a while.
Yes, and it works best when the supplier knows about it. We can assess a proposal before you sign, review delivered code at agreed milestones, or look at a project that's drifting. The findings are factual and written to be fair to both sides, so the conversation stays about the work.
A focused review of one system or one supplier proposal, with the code and architecture read in depth, interviews with the key people and a written report of ranked recommendations. Due diligence, load testing and broader reviews are scoped and quoted separately.
Final pricing depends on the size of the codebase, the number of systems involved and how much testing the questions require. Reviews are quoted as a fixed fee before any work begins.
Tell us what you're trying to achieve. We'll come back with a clear view of the scope, the approach and the cost, and if we're not the right fit, we'll say so quickly.