We use a documented and predictable development and delivery process. We manage projects across the full lifecycle — from analysis and initial assessment to ongoing support and product evolution. This approach is especially important for B2B companies where digital systems are a critical part of the business. Clients receive transparent working rules, clear stages and artifacts at every step, built-in quality and security practices, and support under pre-agreed conditions.
More about our approach
Documented Development Process
A documented and predictable development and delivery process consisting of six stages — from analysis to support. More details about each stage are available in the Project Lifecycle section.
Dedicated Project Manager
A dedicated project manager as a single point of contact, regular sync calls, and transparent reporting. This is described in detail in the Project Management and Communication section.
A dedicated tech lead
A dedicated tech lead, mandatory code reviews for every change, testing, and a configured CI/CD pipeline to ensure stable releases. More details are available in the Development Quality and Testing section.
Access Control
Access control based on the principle of least privilege, isolated environments, regular backups, and practical recovery testing. Details are covered in the Security and Compliance in Projects section.
Support
Support with clear response and incident prioritization rules, including the option to work under an SLA. More details are available in the Support and SLA section.
Cross-Functional Teams
Cross-functional teams that include experienced mid-level and senior developers, QA engineers, and DevOps engineers. More details are available in the Team and Project Roles section.
Our collaboration format is designed for companies that operate within serious business partnerships (B2B) and choose high-quality IT services on a long-term basis. This may include companies with B2B products as well as large B2C businesses — the key factor is that digital products, internal systems, and development stability are an essential part of their operations. We are a good fit if you are looking for:
Long-term cooperation with a contractor you can trust to evolve your product without constant negotiations or discussions over every thousand dollars.
High-quality engineering, predictable timelines, and a transparent delivery process.
Product solutions and platforms where stability, scalability, and integrations are critical.
Development of CRM, ERP, document management systems, and other internal business systems.
Fintech, blockchain, and projects with a high level of responsibility for data and transactions.
Integration of existing systems, development of intermediary services, error handling, logging, and metrics.
We are experienced in working with international teams and offices across different countries. Communication is available in Russian, English, and German; we are comfortable working on projects involving multiple languages and teams from different regions.
What matters most to you is quality, stability, and long-term partnership — not simply finding the cheapest offer on the market.
Our approach is based on a clearly structured project lifecycle. Each stage has well-defined goals, artifacts, and quality criteria. This provides predictable timelines, transparent decision-making, and convenient product management at any scale.
Below is a concise map of all stages, allowing you to quickly understand the logic of the process and the depth of execution.
We hold sessions with key stakeholders to clarify business goals, constraints, and risks. We define the preliminary scope of work, describe core use cases, and document requirements for integrations and data. At this stage, the first artifacts are created: product description, high-level task list, initial estimates, and a draft roadmap.
Analysis sets clear project boundaries and reduces the risk of unclear expectations. The client gains a realistic view of scope, timelines, and budget, while the team gets a solid baseline for architecture and planning.
We elaborate user scenarios, create UX prototypes for key screens and flows, and design the system architecture. This includes database structures, integrations with external services and internal systems, and clearly defined interfaces and contracts between components. The result is a solid technical foundation for the entire team.
Design reduces technical debt and rework in later stages. The client sees how the system will look and operate before active development begins, while the team works with a stable architecture that supports growth without chaotic changes or patches.
Development is organized in sprints, with tasks split into manageable units and implemented in isolated branches. Every change undergoes mandatory code review by the responsible tech lead. We use automated checks and build pipelines, maintain consistent coding standards, and follow agreed architectural principles.
Development progresses at a predictable pace, with quality independent of individual contributors. The client regularly sees progress through demos and status updates, while each change is controlled via code reviews and automated validation.
We cover critical modules with unit tests, run integration and end-to-end tests, and focus on key business scenarios. We prepare user acceptance scenarios and align quality criteria with the client, defining clear conditions under which functionality is considered accepted.
Testing and acceptance reduce the risk of critical issues in production. The client gains confidence that key scenarios work as expected, while discrepancies are identified before release rather than in live operation.
We deploy changes through a staging environment, verify system stability, perform data migrations, and run final checks. A release and rollback plan is prepared in advance, with the deployment window and action sequence coordinated with the client’s team.
Releases are controlled and transparent, without unexpected surprises. The risk of downtime or data loss is reduced, and the business clearly understands when and to what extent changes reach production.
We monitor system stability, respond to incidents, and analyze metrics and logs. We plan improvements and future releases, perform optimizations when needed, evolve the architecture, and keep components and dependencies up to date to maintain security and reliability.
The product remains actively maintained and evolves over time instead of becoming a fragile system that is risky to modify. The client benefits from predictable support, fewer unexpected incidents, and controlled development costs based on a clear plan and measurable indicators.
This lifecycle results in a single, clear operating model. The team understands tasks and quality criteria at every stage, while the client sees what results are delivered and within what timeframe. This reduces operational risks, simplifies planning, and creates a solid foundation for long-term product growth.
Effective development relies not only on technical practices but also on clear project management. The client has a dedicated project manager as a single point of contact, regular status calls, and transparent project reporting. For complex issues and risks, there is a clear escalation path — from the project manager to the tech lead, CTO, and company management.
Each project is assigned a project manager responsible for planning, team coordination, and meeting agreed timelines and scope. The manager documents agreements, helps prioritize tasks, and ensures that product and technical decisions are aligned between your team and ours. For the client, this means a single, clear entry point for all questions — without the need to contact multiple people or risk losing information.
We hold regular status calls (typically weekly), discussions on key decisions, and demos for completed milestones. We use communication tools that are convenient for your team: Slack or Teams for day-to-day communication, email for formal notifications, Jira for tasks and statuses, Confluence or Notion for documentation, and Google Meet for online meetings. As a result, the client always understands the current project status, what has already been delivered, and what is planned next, while internal communication with stakeholders becomes simpler and more transparent.
For complex issues and risks, a predefined escalation path is in place: from the project manager to the tech lead, and further to the CTO or management when strategic decisions are required. Risks and potential blockers are documented, solution options are discussed, and next steps are aligned with your team. This approach prevents critical topics from being postponed and reduces the chance that key issues go unnoticed.
Development quality is one of the core pillars of our approach. Each project has a responsible tech lead accountable for code quality, every change goes through mandatory code review, and testing and infrastructure practices are designed to reduce the risk of regressions and lower long-term maintenance costs.
Each project has a dedicated tech lead responsible for architectural decisions and code quality. Every change goes through mandatory review by the responsible tech lead — without formal mass approvals “by default.” We enforce consistent standards, validate architectural decisions, and assess the impact of changes on the system as a whole.
We treat testing as a standard practice, not an optional add-on. We write unit tests for critical modules and add integration and end-to-end tests when needed. Special attention is paid to business-critical scenarios and areas where failures have the highest impact.
We use separate environments for development, testing, and production. Changes are validated in intermediate environments before reaching production to detect issues before they affect real users. We set up automated build and delivery pipelines (CI/CD) so releases follow a repeatable and controlled process.
Together, these practices create a resilient engineering environment: issues are detected earlier, releases are safer, and total cost of ownership is reduced through fewer incidents and simpler maintenance.
Security and data protection are built into our development approach from the very beginning. We restrict access to production systems based on the principle of least privilege, separate development and testing environments, and regularly verify backups and recovery procedures. Our engineering processes take into account requirements for protecting personal and financial data, while legal aspects are formalized through agreements and participation in relevant industry structures. For the client, this means controlled risks and alignment with baseline security expectations.
Access to production and critical data is granted only to specialists who truly need it for their work. Permissions are limited and actions are controlled.
Development, testing, and experimental environments are isolated from each other, reducing the risk that development or testing activities affect production systems and real user data.
Data is backed up on a defined schedule, and recovery scenarios are periodically tested in practice to ensure restoration actually works. For larger projects, we use rsync for smooth background backups.
We sign Non-Disclosure Agreements and, when required, separate Data Processing Agreements (DPA), and take into account GDPR requirements and the client’s internal policies.
Legal entities within the group are members of specialized IT associations and technology parks that undergo external audits, serving as an additional indicator of maturity and transparency for partners.
This approach reduces the risk of data-related incidents and simplifies internal and external audits. The client receives a clear set of practices and legal mechanisms that can be used in their own compliance procedures and risk assessments.
After the product is launched, we continue working with the client at the level of support and ongoing development. Incident reports and task requests go through familiar channels — a shared project chat and the project manager. We assess criticality, align priorities, and take tasks into work in a clear and predictable order. For systems with high availability requirements, we set up Service Level Agreements (SLA) with defined response and recovery targets. For product teams, a continuous support and development model is available.
The client contacts support through the shared project chat and the project manager, without changing the usual communication format. There is no separate support desk with formal ticket queues or handoffs between lines. Requests go directly to the team that already understands the product and project context.
Each request is assessed based on its impact on the business and users. We consider not only technical severity but also the operational context: critical processes, deadlines, external obligations, and the impact on the client’s team. This approach allows us to prioritize correctly and avoid losing tasks that are important for day-to-day operations.
Tasks are prioritized according to pre-agreed rules. Critical incidents are handled first, while planned improvements and technical debt remain visible and enter the development queue. Priorities are transparent and easy to explain, without chaotic context switching or conflicting expectations.
For product systems, a continuous support and development model is available. The team works with the system on an ongoing basis, improves architecture, optimizes processes, and evolves functionality. Support goes beyond reacting to incidents and becomes part of structured, long-term product development.
For services with strict availability and response time requirements, we establish formal Service Level Agreements (SLA). These define target response times, recovery objectives, and escalation procedures. This creates shared expectations between technical and business teams and reduces uncertainty during incidents.
This support model provides predictable system behavior after release and a clear course of action in case of incidents. The product evolves consistently rather than only in response to emergencies, while downtime risks are reduced through stable processes, clear rules, and preserved team context.
On our projects, we build cross-functional teams that cover the full delivery cycle — from task definition and architecture to testing, deployment, and support. Client-facing work is led by experienced mid-level and senior engineers, while junior specialists contribute under the supervision of a tech lead and only on non-critical areas. We focus on knowledge transfer and reducing dependency on individual people so that the product remains manageable and scalable over the long term.
A typical team includes roles that cover project management, architecture, development, testing, and infrastructure. We define responsibility boundaries for each area upfront so decisions are made quickly and without blurred ownership. This creates a clear working structure and helps the client understand who is responsible for what.
For core project processes, we use a roles and responsibility matrix. This helps define in advance who sets tasks, who makes decisions, who provides input, and who is kept informed. The principle is simple: each process has clearly defined roles, and the client knows in advance whom to contact for each type of question.
| Process | CTO | PM/QA | Developers | Designers | Client |
|---|---|---|---|---|---|
| Task definition | C | R/A | I | I | C |
| Task estimation | A | R | R | — | I |
| Iteration planning | A | R | C | C | I |
| Development | C | I | R/A | — | — |
| Testing (QA) | C | R/A | — | — | — |
| Code review | A | — | R | — | — |
| Deployment | A | C | R | — | — |
| Client communication | I | R/A | — | I | R |
| Demo | C | R/A | R | — | R |
The exact matrix may vary from project to project, but the principle remains the same: each process has clear roles, and the client knows in advance who to contact for each topic.
Client-facing tasks are handled by mid-level and senior developers. Junior specialists are involved only under the supervision of a tech lead and only on tasks that do not directly affect critical parts of the system: auxiliary services, individual modules, or specific interface components. The tech lead controls task definition and review and is responsible for the final quality.
Dmitry Cherchel
Architect, Fullstack Developer
For the client, this means the project cost remains reasonable thanks to a balanced team structure, while the quality of critical parts of the product is ensured by experienced specialists.
We document key decisions and architecture, use code reviews, collaborative work on tasks, and planned shadowing when onboarding new team members. When team composition changes, we run a structured handover process to preserve context and minimize impact on the product. This reduces dependency on individual contributors and supports long-term collaboration.
The client gets a team that understands the product as a whole, not a set of isolated contributors. Work is handled systematically, and transitions between phases or team members happen without loss of quality or delivery speed.
Our approach combines transparent project governance, mature engineering practices, built-in security, and post-release support. As a result, the risks of missed deadlines, critical incidents, and dependency on individual contributors are reduced, while the product becomes easier to plan and evolve. For the business, this means a lower total cost of ownership over several years, not just short-term savings at project start.
A structured project lifecycle, regular status updates, and clear prioritization reduce the risk of failed releases and unexpected downtime.
A responsible tech lead, code reviews, testing, and isolated environments reduce the number of defects and prevent the system from degrading into an unmaintainable “dirty monolith.”
Access control, regular backups, and data protection practices reduce the likelihood of incidents and limit their impact.
Documentation, role matrices, and structured knowledge transfer reduce the risk of expertise loss when team members change.
Risk management and a clear change process make it possible to adapt the product without chaos or uncontrolled budget growth.
This approach creates a stable foundation for growth: new releases can be planned, priorities adjusted, and the solution scaled without constant firefighting. This is especially important for companies where digital systems are a core part of the business and require reliable, predictable support.
Project lifecycle — the sequence of stages a product goes through: analysis, design, development, testing, release, support, and evolution.
Analysis (Discovery) — the initial project phase where goals, requirements, constraints, and risks are clarified, and a high-level scope and initial roadmap are defined.
System architecture — the structure of a product at the level of services, databases, integrations, and interfaces that defines scalability, resilience, and long-term evolution.
Tech Lead (Technical Lead) — a senior engineer responsible for architectural decisions, code quality, and technical consistency across the project.
Code review — the review of code changes before they are merged into the main branch, aimed at detecting issues and ensuring architectural and coding standards.
Technical debt — accumulated shortcuts and compromises in code and architecture that make further development and maintenance more difficult.
CI/CD — practices for automating build, testing, and deployment, ensuring repeatable and stable releases.
Staging environment — an environment that closely mirrors production and is used to validate changes before release.
SLA (Service Level Agreement) — an agreement that defines response and recovery times in the event of incidents.
Incident — an unexpected issue in system operation, such as a service outage, failure, or critical error.
Regression — a situation where new changes break previously working functionality.
Roadmap — a product development plan with key milestones, priorities, and major releases.
Backlog — a prioritized list of tasks that includes new features, improvements, fixes, and technical work.
Cross-functional team — a team that includes all key roles required for the full development cycle: management, development, testing, and operations.
B2B collaboration — a collaboration model focused on long-term partnership, stable processes, and predictable product growth.
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