AUDIT
Before a deal, fundraising round, or internal transformation
We quickly expose architectural risk, operating debt, and scaling limits. The output is not a slide deck but a working remediation plan.
QDEVRUN/architecture · data · operations
We design systems where data and reliability meet complex integrations
We own architecture, engineering, and launch. Web, mobile products, data platforms, and AI.
We step in when a standard solution is not enough: for a technical audit, a new capability, a safe migration, or reinforcement of a live product.
senior team
core team without junior roles on the critical path
3 modes
audit, project team, and production support
web + mobile + data + AI
one engineering chain from interface to infrastructure
Kazakhstan context
local context, regulatory constraints, and regional operating reality
01
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capabilities
capabilities
WEB
Web Applications
React · Next.js · TypeScript · Vue
SaaS products, analytics portals, internal tools. Thoughtful frontend architecture – component systems, state management, SSR/ISR where it actually helps.
MOB
Mobile
React Native · Expo · iOS · Android
Cross-platform development with native behavior. One codebase – both markets. Push notifications, offline mode, native modules where JavaScript falls short.
API
Backend / API
Node.js · Python · Go · GraphQL · gRPC
Microservice architecture, queues, third-party integrations. We design service contracts so teams can scale without friction.
OPS
Infrastructure
Docker · Kubernetes · Terraform · AWS · GCP
CI/CD pipelines, cloud deployment, monitoring and alerting. Infrastructure as code – all configuration lives in the repo, nothing only in someone's head.
DAT
Data
PostgreSQL · Redis · Elasticsearch
Collection, storage and processing of large data volumes. Real-time monitoring systems, search indexes, analytics dashboards – from ETL to visualization.
AI
AI Integrations
LLM · RAG · Агенты · Observability
We embed LLMs and agent systems into product architecture. Token cost control, response quality monitoring, prompt versioning. Not an API wrapper – production-grade AI infrastructure.
SEC
Security
Vault · SAST · RBAC · SOC 2 · PCI DSS
Secure-by-default infrastructure. Secrets management, vulnerability scanning, role-based access, audit logs. We prepare systems for SOC 2, PCI DSS, and AIFC regulatory requirements.
02A
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when we step in
LEGACY
When legacy is already slowing growth and blind rewrites are too risky
We break the current system into stages: stabilization, boundary extraction, migration without stopping the business, and preservation of accumulated data.
DATA
When you need not a website but a connected system of data, automation, and AI
We design the whole flow: sources, processing, interfaces, search, assistants, permissions, cost control, and observability.
SCALE
When you already have an internal team but need a stronger external layer
We plug in as a senior engineering layer: architecture, hard decisions, reviews, production practices, critical launches, and knowledge transfer.
02/
stack
Frontend
React 19·Next.js 15·TypeScript 5
Vue · Tailwind · Vite · Storybook
Backend
Go·Python 3.12·PostgreSQL 16
Node.js · FastAPI · Redis · GraphQL · gRPC
Mobile
React Native·Expo SDK 52
New Architecture · Bridgeless · Swift · Kotlin
Infra
Kubernetes·Terraform·AWS / GCP
Docker · GitHub Actions · ArgoCD · Prometheus · OpenTelemetry
Data / AI
pgvector·Elasticsearch·LLM + RAG
OpenAI · Anthropic · LangChain · Kafka · ClickHouse
Security
Vault·Trivy·RBAC·OPA
Snyk · Semgrep · AWS IAM · cert-manager
02B/
engineering foundation
reusable foundations
Proven engineering foundations are not rebuilt for every product
Proven security, data, AI, and operations modules are not rebuilt from scratch. They are adopted only when useful, tested like the product’s unique logic, and never dictate the client’s architecture.
securityroles, audit, and data protection by default
verifiabilityversion, automated check, and runtime evidence
RU · KZ · ENlanguage and local requirements built into the foundation
unboundthe product’s unique logic stays independent
02C/working tools
test the approach
Three open tools for initial assessment
The data lab contains a verified snapshot of open Kazakhstan indicators, the diagnostic prioritizes 12 engineering questions, and the RAG calculator estimates monthly cost for three AI architectures.
Data laboratory
Kazakhstan indicators with dates, primary sources and regional comparison.
Technical diagnostic
Twelve questions covering architecture, data, security and operational maturity.
RAG cost estimate
Compare a large cloud model, smaller model with retrieval and local deployment.
03
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principles
01
Architectural decisions should not depend on a specific framework. Frameworks come and go – the boundary between business logic and infrastructure remains.
02
Monitoring is part of the system, not an afterthought. A system you cannot observe cannot be controlled. Observability is designed from day one, not added before prod.
03
Complexity is not solved by complexity. If a solution requires a long explanation, the problem is probably framed incorrectly. We start with the simplest working model.
04
We do not disappear after deploy. Systems live in production, not in the repository. We take responsibility for what we launch into production.
05
Data matters more than code. Code can be rewritten in weeks. Lost or poorly designed data takes years to fix. The schema is the first architectural decision.
06
Speed of the first iteration is not the main metric. We care about speed of the tenth. Clean architecture pays off not in the first sprint, but six months later.
07
A good engineer says no. Technical decisions are made based on understanding the problem, not client requirements. If we see a better path, we will say so.
04/
approach
Technical Audit
2–4 weeks · fixed priceIndependent assessment of architecture, tech debt, and scaling risks. Deliverable: detailed report with a prioritized action plan. Preparing for a round, a deal, or an internal transformation.
Project Team
from 2 months · time & materialsA dedicated team for a specific task: new service, migration, integration. Weekly demos, joint architecture review, full code and documentation handover.
Retainer
ongoing · retainerContinuous technical support for your product in production. Monitoring, incident management, performance tuning, architecture consulting. We don't disappear after deploy.
04A/
operating profile
model
Compact senior team shaped around the task: no bloated management layer and no loss of direct contact with engineers.
artifacts
Architecture diagrams, decision backlog, code, infrastructure, operational instructions, and context handover to the team.
security
Role-based access, audit trails, secret handling, integration control, and production procedures without improvisation.
embedding
We work on top of the existing team and processes: not replacing the product core, but strengthening the parts that matter most.
geography
Kazakhstan is the working base, with engineering standards and product practices aligned to international B2B and infrastructure systems.
response mode
Dense engineering communication, short decision cycles, honest risk assessment, and direct conversation about tradeoffs.
05
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blog
Монолит не умер. Вы просто плохо его написали
Для большинства продуктов хорошо написанный монолит быстрее в разработке, дешевле в эксплуатации и проще в отладке.
7 мин →Как мы сократили расходы на языковые модели в 12 раз
Кэширование, маршрутизация по сложности, пакетная обработка, дистилляция. Конкретные числа из рабочего контура.
9 мин →TypeScript: паттерны, которые реально спасают
Discriminated unions, branded types, satisfies, infer. Не теория – паттерны, которые ловят ошибки до рантайма.
11 мин →
06/
contact
Have a project?
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Your team has hit a ceiling
The system is growing, the architecture is struggling, hiring can't keep up. You need an external technical resource that understands the context.
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Non-standard problem – no off-the-shelf solution
Data pipeline on specific data, AI agent in product architecture, integration with a legacy system. Generic contractors won't take it.
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Technical audit before a round or deal
External assessment of architecture, technical debt, scaling risks. An independent view before investors ask the hard questions.
We work with teams that have a concrete engineering challenge. Tell us what you're building – we'll figure out how we can help. We respond quickly, no templated briefs.
We know the regional specifics: AIFC, egov.kz, National Bank of Kazakhstan requirements, data residency in KZ.