Saurav Jagdale

Inside how Unico configures Claude Code skills as governed, reusable engineering workflows — narrow scope, repo context, fixed output, and review checkpoints — plus where they add leverage and where human judgment still rules.

How software teams use Google Gemini across the development lifecycle — code generation, debugging, multimodal reasoning, and Gemini API/SDK integration with Google Cloud, Android Studio and Firebase.

Traditional CI/CD assumes deterministic code. AI agents do not. You need a separate evaluation layer, prompt and model versioning, behavioural monitoring, and canary rollouts that catch regressions.

Google Workspace wins for browser-native teams that want deeper AI collaboration. Microsoft 365 wins for Windows-heavy environments with Office desktop dependency.

Side-by-side comparison of AI coding assistants and AI agents — scope, autonomy, context awareness, best-fit use cases, and how to choose for your team.

A practical framework for evaluating GCP vs AWS vs Azure — six decision criteria, GCP's real strengths and weaknesses, and when each cloud is the right choice.

How DevOps automation accelerates delivery — CI/CD, deployment automation, IaC, DevSecOps, and best practices for cutting release cycles in complex projects.

Hiring an AI engineer in 2026? Here are the five technical skills, three soft skills, and a practical evaluation framework that consistently predict success.

How to use Azure OpenAI Service to build smarter digital products — features, integration steps, compared to Azure AI Services and Foundry, and real use cases.

Compare top AI code editors — Cursor, GitHub Copilot, Claude, Windsurf — plus benefits, limitations, and what enterprise teams should adopt in 2025.

How AI is reshaping software development across the SDLC — coding, debugging, testing, DevOps — plus the leading tools, benefits, risks, and what comes next.

A five-step roadmap to integrate AI into Google Workspace — built-in features, third-party add-ons, real-world use cases, and when to hire an expert.

Developer-led cloud cost optimization techniques — right-sizing, auto-scaling, scheduled shutdowns, spot/reserved instances, and the right tools for AWS, Azure, GCP.

How to choose a future-proof tech stack — core components, leading 2025 stacks, key evaluation criteria, and specialised options for blockchain, AI, and serverless.

The most useful Google Workspace AI features in 2025 — Help Me Write, Smart Compose, Smart Fill, Meet summaries, Google Vids — plus practical tips to use them.

How AI-powered DevOps accelerates software development — automated CI/CD, predictive analytics, AI-driven security, and the leading tools transforming the field.

How CTOs design scalable, secure, cost-optimised cloud systems in 2025 — core principles, multi-cloud vs hybrid vs serverless, governance, and tooling.

Enterprise app development in 2026 — traditional vs no-code/workflow-automation approaches, real cost and speed differences, and how to build apps that scale.

How agile methodology improves software delivery — five concrete benefits, common pitfalls to avoid, and when agile is the right fit (and when it isn't).

How DevOps streamlines software delivery — CI/CD, infrastructure as code, automated testing, cultural shift, and how teams measure DevOps success.

Practical best practices for secure software development — authentication, code review, SDLC security, encryption, dependency management, and team training.

How AI and ML are reshaping software development — automation, code quality, intelligent testing, predictive analytics, NLP for requirements, and CI/CD.