1:1 calls, interview prep & career guidance with Sandeep Pal.
Web, mobile, ecommerce & growth — end-to-end for your business.
Public developer portfolio with certs & learning badges.
Formatters, converters, SEO checkers & more — no install.
Insights, tutorials, and career tips from the engineering community
Imagine you're using Uber. You request a ride. Within seconds, your request reaches an available driver near you. But here's the interesting question. How did Uber know which driver service to contact?
Imagine you're scrolling through your Instagram feed. You like a post. Your friend refreshes their phone immediately. For a few seconds... they still don't see your like. Did the system lose your data? No.
Imagine you're transferring ₹10,000 from your bank account to your friend's account. The process looks simple. Your account balance decreases. Your friend's balance increases. Now imagine something goes wrong halfway through. Your account is debited. But your friend's account is never credited because the database crashed. The money disappears.
Semantic Kernel vs LangChain for .NET AI apps: we compared both on a fintech API doc assistant and LMS Q&A bot—DI integration, plugins, observability, and which framework fits production C# teams.
ChatGPT and GitHub Copilot for .NET developers: production-tested prompts for ASP.NET Core APIs, EF Core queries, unit tests, and code review—plus honest limits when AI-generated C# ships to prod.
SOLID is not academic vocabulary—see each principle applied to C# code you might write this week, with before-and-after refactors you can use in reviews.
A practical roadmap for .NET interviews in 2025: C# fundamentals, ASP.NET Core, SQL, system design basics, and how to answer behavioral questions without sounding rehearsed.
How to choose .NET OSS projects, land meaningful PRs, and turn contributions into interviews—without burning weekends on abandoned repos.
TypeScript for C# developers: map interfaces to records, structural typing vs nominal, async pitfalls, and real migration stories from ASP.NET teams adopting Angular or React frontends.
ML.NET vs generative AI: when classical machine learning still wins for fraud scoring, demand forecasting, and churn prediction on .NET—cheaper, auditable, and often more accurate than LLM guesses.
Local LLMs with Ollama for offline .NET development: run Llama and Mistral on your machine for docs, tests, and refactors without sending fintech or LMS code to the cloud—setup, limits, and honest trade-offs.
Records, primary constructors, minimal hosting, Native AOT considerations, and collection expressions—practical .NET 8 features you will actually write, not release-note trivia.
care@toolliyo.com