Mangesh Raut Technical Writings https://mangeshraut712.github.io/mangeshrautarchive/blog/ 2026-07-21T08:59:23.363Z Mangesh Raut https://mangeshraut712.github.io/mangeshrautarchive/ Technical articles on software engineering, AI, cloud, and product engineering. WWDC 2026 Field Notes: Liquid Glass Maturity, Apple Intelligence, and Siri https://mangeshraut712.github.io/mangeshrautarchive/blog/wwdc-2026-apple-intelligence-siri-ai 2026-06-12T00:00:00.000Z A product-engineering read on Apple’s AI trajectory: Liquid Glass design maturation after WWDC25, on-device intelligence, privacy boundaries, Siri workflows, and App Intents developers should expose. NotebookLM 2026 Field Notes: From Document Q&A to Research Workflow https://mangeshraut712.github.io/mangeshrautarchive/blog/notebooklm-2026-ai-research-agent 2026-06-10T00:00:00.000Z A practical look at Google NotebookLM as a source-grounded research partner: multimodal notebooks, Audio Overviews, synthesis workflows, and verification discipline. Google I/O 2026 Field Notes: Agentic Web, Gemini, Gemma, and WebNN https://mangeshraut712.github.io/mangeshrautarchive/blog/google-io-2026-developer-insights 2026-05-20T00:00:00.000Z A practical read on Google I/O through an engineering lens: what looks useful now, what still needs validation, and how agentic browser-side AI changes web architecture. X Algorithm Field Notes: Phoenix, Retrieval, and Grok-Based Ranking https://mangeshraut712.github.io/mangeshrautarchive/blog/grok-x-algorithm-systems-2026 2026-05-15T00:00:00.000Z A system-design breakdown of the open x-algorithm stack: in-network and out-of-network retrieval, Phoenix ranking, hydration, and the product discipline behind real-time feeds. Anthropic Mythos Field Notes: Philosophy, Simulation, and AI Safety https://mangeshraut712.github.io/mangeshrautarchive/blog/anthropic-mythos-2026 2026-04-20T00:00:00.000Z A clearer version of a philosophical AI essay: what anthropic reasoning is useful for, where it becomes speculative, and why safety engineering still needs practical controls. Opinions labeled. Apple at 50 Field Notes: The Product Discipline Behind the Myth https://mangeshraut712.github.io/mangeshrautarchive/blog/apple-50th-anniversary-2026 2026-04-01T00:00:00.000Z A design and engineering reflection on Apple’s first 50 years (1976→2026): integration, taste, restraint, ecosystem leverage, and the risks of polish becoming inertia. AI Code Editors Field Notes: VS Code, Cursor, Windsurf, and Friends https://mangeshraut712.github.io/mangeshrautarchive/blog/ai-code-editors-revolution-2026 2026-03-25T00:00:00.000Z A practical comparison of AI coding environments through daily engineering work: context, loops, verification, review, and keeping humans in control. Global AI Race Field Notes: Models, Nations, and the Infrastructure Layer https://mangeshraut712.github.io/mangeshrautarchive/blog/ai-models-global-race-2026 2026-03-11T00:00:00.000Z A grounded overview of the AI race across model quality, compute supply, regulation, talent, open weights, and product distribution. NVIDIA Field Notes: Why AI Infrastructure Became the Product https://mangeshraut712.github.io/mangeshrautarchive/blog/nvidia-ai-dominance-2026 2026-02-24T00:00:00.000Z A practical breakdown of NVIDIA’s AI advantage across GPUs, CUDA, networking, software libraries, and developer gravity—and what builders should plan for. Wispr Flow Field Notes: Voice Input as a Power Tool https://mangeshraut712.github.io/mangeshrautarchive/blog/wispr-flow-dictation-2026 2026-02-10T00:00:00.000Z A product-focused read on modern voice dictation: why speed, correction, intent capture, and workflow integration matter more than raw transcription accuracy. OpenClaw Field Notes: Open-Source Agents Need More Than Autonomy https://mangeshraut712.github.io/mangeshrautarchive/blog/openclaw-revolution-2026 2026-01-25T00:00:00.000Z A product-pattern analysis of open-source agent frameworks: why transparency, tools, evaluation, and governance matter more than raw autonomy. Opinions labeled clearly. Google AI Ecosystem Field Notes: Multimodal Intelligence as a Product Layer https://mangeshraut712.github.io/mangeshrautarchive/blog/google-ai-ecosystem-2026 2026-01-10T00:00:00.000Z A practical look at Google’s AI ecosystem strategy across Android, Workspace, Gemini, Search, and device-side context—and what product teams should copy carefully.