AI-assisted software development practices, architectural decisions and production engineering.
An approach for software teams to manage cost, speed and quality control together by assigning planning and coding tasks to different AI models.
Is the era of the IDE in software development coming to an end? AI agents and mobile solutions like Claude Code are shifting coding from desktop to mobile. Here's what the IDE-less era brings.
Vibe coding enables rapid development of software prototypes. However, sound architecture, security and expert evaluation remain essential when moving to production.
It's possible to create a demo in hours with AI. So, why can't this demo go to production overnight? We explore the difference between vibe coding and real engineering.
We examine our experience building a .NET 8 admin panel in Cursor AI with Claude 4 Opus, focusing on layered architecture, automatic error correction, and credit consumption.
As AI assistants reshape coding and debugging habits, we explore the role of communities such as Stack Overflow and the importance of verifying information.
Why should data accuracy, algorithmic explainability and expert competence be assessed together in the context of AI-assisted traffic fines? We examine the issues.
Our audio classification experiment with Cursor AI and Claude illustrates the role AI agents can play in model training and testing.
Why does AI generate code in high-level languages? We examine the performance potential of processor-specific code generation and its limitations for enterprise software.
Technical accuracy alone is not enough in MCP integrations. Using a flight search example, we explore human-centred response design for AI.
Preserve context window capacity in MCP tools with more selective request parameters and smaller responses; pass only the necessary data to AI agents.
Explore the role of vector databases in LLM applications, how semantic search works, and the relationship between SQL, NoSQL, and RAG, including their technical foundations.
What sets smartphones apart is not just hardware, but how AI makes everyday tasks easier. We examine the user experience from this perspective.
Understand the risk of prompt injection in AI coding assistants and learn about safeguards for project files, command approvals, and access permissions.
Explore Amazon Q’s VS Code integration, code suggestions, test generation and AWS support, and learn what to consider when evaluating the free plan.
Manage server operations in natural language via Claude Desktop with SSH-MCP; explore how Docker installation, backup and monitoring scenarios work.
Running servers do not necessarily mean users can access a service. Why is it important to monitor external dependencies and plan infrastructure redundancy?
Why can user access be disrupted even when a Cloudflare tunnel is running? We explore end-to-end monitoring, dependency analysis and redundancy in outage management.
Before setting up a company, review the scope of the tax exemption for software developers, the application steps and the conditions to observe when tracking revenue.
We explore the role of the AI Development Agent approach, from PBI analysis to CI/CD workflows, alongside developer responsibilities and the use of in-house LLMs.
How does MCP make enterprise APIs available to AI agents? Explore the core approach to controlled access, authorization, and context-based automation.
How does a temporary disruption in Veo access affect API continuity? We explore why businesses need to assess access channels separately.
AI-assisted code generation is redefining developers’ responsibilities. The value of seniority lies in problem-solving, architecture, quality and process management.
Keep your enterprise AI infrastructure ready for transitions when LLM models are retired, with multi-model support, early warnings and scenario-based testing.
When choosing between Opus 4.6 and Codex 5.3, assess speed, depth of analysis, and context requirements together in relation to your software and automation workloads.
By dividing tasks between Claude Opus, Codex CLI and Gemini CLI, we bring architectural design, code generation and infrastructure operations together in a balanced workflow.
At which stages should Cursor Composer 1.5, Opus and Codex be used? We explore how to build a seamless workflow with the right tool, from architectural planning to day-to-day development.
As AI makes code generation easier, developers’ responsibilities are expanding to include system design, security and validation. The real value lies not just in writing code, but in designing the right system.
Discover how to build multilayered AI security into your OpenClaw configuration using system instructions, a supervisory agent, and a safe-stop approach.
Model quality alone is not enough in enterprise AI. Prepare for outages with a multi-model architecture, failover, and provider independence.
The debate over Claude Code access on the Pro plan highlights the need to consider platform dependency, transparency and business continuity together when evaluating AI tools.
Using Claude efficiently starts with choosing a model that matches the scope of the task, rather than assigning every task to the same model. Discover our team's approach to using Haiku, Sonnet, and Opus.
The agent and coding capabilities highlighted by Gemini 3.5 bring both new opportunities and integration questions for businesses. The deciding factor in adopting a new model should be the value validated within workflows, not the version number.
Is building a working product with AI enough? We explore the balance between security, long-term maintainability and engineering that determines software’s lasting value.
We explore the challenges of payment integration for SaaS startups in Turkey, AI-assisted development, and the foundations of flexible subscription infrastructure.
We assess the findings obtained with Grok 4.5 High and Fabel 5 on an older version of a project, focusing on what the numbers mean and the limits of the comparison.
Explore the steps to turn your idea into a web application using natural language with Vibe Coding, from prompt design and databases to payment infrastructure and deployment.
We turned a community idea into a landing page in 40 minutes. Here is how our experimental launch process worked, using AI-assisted development, Docker and Cloudflare.
In the Vibe Coding course we developed with Techcareer.net Academy, we will explore the journey from idea to launch-ready product, with no technical background required.
In addition to our corporate training programmes at X Mind Solutions, we are offering Vibe Coding training for individuals in collaboration with Techcareer.net Academy.
At X Mind Solutions, we have launched our new SaaS product. You can start with the free-for-life version and upgrade to paid plans whenever you need to.
At X Mind Solutions, we focus on turning prototypes developed through vibe coding into products through code reviews, security improvements, integrations and architectural refinements.
X Mind Solutions attended the Claude Code Istanbul Meetup at Komünite Space, where we presented our projects and connected with the developer community.
At X Mind Solutions’ build night on application integration with MCP, we explored the THY MCP and worked through examples using our own n8n server.
We are looking for volunteers to take part in end-user testing before our web application launches. Join an online session lasting around 15 minutes and receive a free annual plan.
At X Mind Solutions, we bring HR processes together on a single platform with AI agent integration through MCP-Base, which we developed in 14 hours at the MCP Hackathon.
At X Mind Solutions, we use n8n to transfer customer requests to our CRM system, automate notifications, and manage our infrastructure on our own server.
