Ndamulelo Nemakhavhani · AI · Cloud · Data
Field notes from building with artificial intelligence, cloud platforms, data systems, and the software connecting them.
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Companies spent years building dashboards and pipelines, and now everyone wants an AI agent that can answer data questions directly. Raw text-to-SQL fails silently in real warehouses where business meaning is often implicit; here is how context-guided SQL, predefined metric tools and typed intent compilation compare in practice.
Read the essay →Claude Code gives cloud sessions and routines named environments you can see, configure and trust with secrets. Cowork scheduled tasks run in the cloud with none of that, leaving local MCP servers as the only way to keep a single API token out of a prompt.
Azure API Management service also known as APIM is a gateway that centralizes authentication and request routing for backend services, simplifying security and access control. In the age of LLMs, MCP Servers and Agents, It is a crucial component for managing access and ensuring safe access to the benefits of generative AI.
The Economics of Agents: Why GPT-6 Luna and DeepSeek V4.1 Flash class models matter more than you think
It is time to face the true costs of AI coding. Reliable results require compute, supervision, review and maintenance that our productivity estimates often leave out.
VS Code stores configuration, extension state, workspace state, local file history, plugins, and logs across several locations on macOS. This post maps those directories, explains what they reveal, and separates local editor state from GitHub Copilot CLI and cloud data.
I led the redesign and migration of a VM-based deduplication solution to Azure Batch. Moving the workload to managed batch compute improved scalability and reduced annual client infrastructure costs by approximately $8,000.
I owned the research and training of masked language models for Tshivenda and other indigenous Bantu languages. The work expanded language-technology coverage for languages underserved by mainstream NLP systems.
I applied NLP and large language models to extract key information from regulatory documents. The workflow was designed to make review more structured, traceable, and less dependent on repetitive manual handling.
