Product engineering
for B2B SaaS teams
We help B2B SaaS teams review critical technical decisions, plan safer system changes, and execute the engineering work required to move forward.
60–90 min session · Led by Eugene Safronov, CEO of CyberCraft · Focused on real risks
Trusted by experts
Services
What we actually help clients do
We work with B2B SaaS companies that need help with technical decisions and system changes that carry real product and business risk.
Technical decision reviews
Before a rewrite, migration, architecture change, or major implementation path is locked in.
Architecture & technical audits
When the system is becoming harder to change, slower to release, or riskier to scale.
Migration & restructuring planning
When the current setup is no longer the right fit for where the product is going.
Hands-on engineering execution
When the work needs to move beyond diagnosis into refactoring, restructuring, migration, or system changes alongside the internal team.
This is not generic development support and not staff augmentation. We are usually brought in when the next technical move matters enough that getting it wrong would be expensive.
The situation
Teams usually come to us when…
More engineering effort is going into working around the system than improving it
You are facing a rewrite, migration, or architecture change, and the right path is not obvious
Releases are getting riskier, slower, and harder to trust
The product is entering a stage that the current foundation was not built for
A technical recommendation is on the table, but something about the direction feels off
The situation
Teams usually come to us when…
More engineering effort is going into working around the system than improving it
You are facing a rewrite, migration, or architecture change, and the right path is not obvious
Releases are getting riskier, slower, and harder to trust
The product is entering a stage that the current foundation was not built for
A technical recommendation is on the table, but something about the direction feels off
Core Positioning
We help teams make the right technical move before they commit to the wrong one.
Most serious product engineering problems are not caused by lack of effort.
They usually come from one of three things:
- not enough distance from the system
- poor sequencing
- not enough experience navigating similar changes under production pressure
We help teams identify what is actually driving the risk, decide what needs to change first, and then carry out the engineering work required to move forward with less risk and more confidence.
Unlike a development agency brought in for execution capacity, we are brought in when the decision itself matters — and the team needs judgment, clarity, and direct technical help.
Who we work with
We work best with B2B SaaS companies that already have:
A live product in production
Real users, active revenue, and a codebase that must keep moving while you change it.
An internal engineering team
You have engineers. What you need is outside judgment on what to change and where the real risk is.
Early technical decisions starting to limit delivery, reliability, or scale
Early shortcuts are starting to show up as slower delivery or fragile releases.
A decision ahead that materially affects delivery, reliability, scale, or product direction
A rewrite, migration, or architecture shift is on the table — and getting it right matters.
A live product in production
Real users, active revenue, and a codebase that must keep moving while you change it.
An internal engineering team
You have engineers. What you need is outside judgment on what to change and where the real risk is.
Early technical decisions starting to limit delivery, reliability, or scale
Early shortcuts are starting to show up as slower delivery or fragile releases.
A decision ahead that materially affects delivery, reliability, scale, or product direction
A rewrite, migration, or architecture shift is on the table — and getting it right matters.
Most often Seed, Series A, or Series B — past early validation, with a product growing in complexity and business demand.
Not the best fit for: generic staff augmentation, low-context execution support, or early MVP work that belongs in a different type of engagement.
Where we get involved
Three common ways
clients start with us
You need a second opinion before committing to a major technical decision
A rewrite, migration, architecture shift, or vendor-led recommendation is on the table. The next move could shape the product for years, and the cost of the wrong call — in engineering time, product direction, and delivery risk — is high.
Your product is becoming harder to change safely
Releases are slower than they should be, changes create side effects, and the team is spending too much capacity managing instability instead of shipping. The system is becoming the constraint.
Your system is no longer built for what the business now needs from it
Larger customers, heavier usage, or higher reliability expectations are exposing limits the product could previously absorb. The risk is no longer hypothetical — the current setup is starting to create operational strain.
Where we get involved
Three common ways
clients start with us
You need a second opinion before committing to a major technical decision
A rewrite, migration, architecture shift, or vendor-led recommendation is on the table. The next move could shape the product for years, and the cost of the wrong call — in engineering time, product direction, and delivery risk — is high.
Your product is becoming harder to change safely
Releases are slower than they should be, changes create side effects, and the team is spending too much capacity managing instability instead of shipping. The system is becoming the constraint.
Your system is no longer built for what the business now needs from it
Larger customers, heavier usage, or higher reliability expectations are exposing limits the product could previously absorb. The risk is no longer hypothetical — the current setup is starting to create operational strain.
breaks /checkout
side effect: emails
Process
How an engagementtypically works
Every engagement starts differently, but the logic is usually the same: first understand the real problem, then define the safest path, then do the work.
Find the real source of risk
We look past what is most visible to understand what is actually slowing delivery, increasing fragility, or limiting the product's ability to evolve.
Decide what needs to change first
We clarify what is urgent, what can wait, and what sequence gives the team the highest-leverage, lowest-risk path forward.
Execute the work
We do the engineering work required to reduce risk, improve stability, and prepare the product for what comes next, not just advise on it. That may include refactoring, restructuring, migration work, infrastructure changes, or close collaboration with the internal team on the parts of the system that carry the most risk.
What clients say
Real outcomesfrom engineering decisions made well
From review to confident decision
3 months
We were about to commit a year of engineering effort to a full rewrite. CyberCraft helped us see that the real constraint was something else entirely. We made a materially safer call — and the team moved faster for it."
James Whitmore
CTO, Series A SaaS
Release confidence improvement
↑ 60%
Our releases had become a source of anxiety across the whole team. CyberCraft identified where the fragility was coming from, fixed the parts that mattered most, and the difference was felt within the first sprint."
Sarah Okafor
VP Engineering, B2B Platform
Through a major platform migration
0 outages
We were scaling into enterprise and the cracks were starting to show. The review gave us a clear picture of what needed to change before it became a real problem — and the execution was exactly what we needed."
Daniel Reyes
CEO, Series B SaaS
The team
Why teams bring us in
The teams that bring us in already have engineers. The problem is rarely effort.
It is perspective, prioritisation, and experience navigating change under production pressure.
The people behind this work have operated inside product teams and technical audits where the issues were not theoretical: architecture debt was already slowing feature development, performance bottlenecks were driving avoidable cost, security gaps were exposing production systems, and scaling pressure was beginning to reach customers.
High-cost API usage patterns
Fragile release cycles
Missing architectural separation
Database exposure risks
Absent throttling
Hidden data-model risks
We are brought in when the team needs sharper judgment, clearer sequencing, and direct help changing the parts of the system that carry the most risk.
4.9
Clutch · 20 reviews
Proof
Examples of the work
Reducing avoidable API cost and performance risk
- A search flow generating 86,692 Places API requests in 30 days
- Early autocomplete triggers, premature Place Details calls, and no debouncing or caching
- Optimization path identified: input thresholds, deferred detail requests, field reduction, and caching
- Safe estimated reduction of ~40% in request volume without changing the core user experience
What the client got: a clear path to materially reduce API usage, lower infrastructure cost, and improve performance without architectural disruption.
Clarifying what had to be fixed before more features were added
- Low code quality, missing three-tier separation, duplicate frontend requests, and unnecessary rerendering
- Lack of tests and no meaningful logging were already increasing bugs and slowing new feature work
- Instead of treating everything as equally urgent, findings were turned into a phased remediation plan
- The team could address what had to change before more complexity was layered on top
What the client got: a clearer, sequenced path for what needed to be fixed first versus what could safely wait.
Identifying security and data risks before product expansion made them harder to unwind
- Database open to the world, request throttling missing, and machine-readable endpoints exposing excessive data
- Records in the Python upload process had no stable unique identifiers — serious issues once user-linked features depended on those references
- Security, performance, and data-integrity risks identified and prioritized before product expansion
- A sequenced remediation path delivered so the team could act without waiting for the problems to compound
What the client got: a prioritized path to address security, performance, and data-integrity risks before product expansion made them harder to unwind.
FAQ
Frequently asked
The cost of the wrong technical move compounds. So does the value of the right one.
If you are facing a decision that could shape the product for years, the first step is getting clear on the real constraint and the safest path forward — before major engineering time and budget are committed.
A focused working session about the decision you are facing, what is actually driving the risk, and what a safer path forward looks like before major engineering investment is locked in