https://prabhanjan.in Notes on AI, embedded systems, and developer tools. en https://www.linkedin.com/posts/prabhanjanakumar_developertools-aiagents-opensource-share-7475117461525192704-l4eu/ https://www.linkedin.com/posts/prabhanjanakumar_developertools-aiagents-opensource-share-7475117461525192704-l4eu/ Tue, 23 Jun 2026 00:00:00 GMT A skill for coding agents that reduces an unfamiliar repository to a single graspable file — capturing not what it shares with every repo of its kind, but the one bet that makes it itself. https://www.reddit.com/r/rust/comments/1siifzc/still_think_in_c_after_25_years_so_i_built_a_tool/ https://www.reddit.com/r/rust/comments/1siifzc/still_think_in_c_after_25_years_so_i_built_a_tool/ Wed, 08 Apr 2026 00:00:00 GMT Launching SyntaxLens to r/rust: instead of reading the docs from scratch, ownership explained in terms of the pointers and malloc/free you already have. https://www.linkedin.com/posts/prabhanjanakumar_quantumcomputing-mentalmodels-learninginpublic-share-7434266634514595840-rssL/ https://www.linkedin.com/posts/prabhanjanakumar_quantumcomputing-mentalmodels-learninginpublic-share-7434266634514595840-rssL/ Mon, 02 Mar 2026 00:00:00 GMT A guitar-string metaphor for building intuition about quantum computation, and the three borrowed words that clash hardest with a classical-computing mental model. https://www.linkedin.com/pulse/react2shell-day-json-broke-server-december-3-2025-prabhanjan-kumar-hjx3c https://www.linkedin.com/pulse/react2shell-day-json-broke-server-december-3-2025-prabhanjan-kumar-hjx3c Mon, 08 Dec 2025 00:00:00 GMT How CVE-2025-55182 turned React 19's Flight deserializer into a code compiler — climbing the prototype chain to the Function constructor, and why the real fix was two layers deep. https://www.linkedin.com/posts/prabhanjanakumar_agent-virtual-machine-ugcPost-7393622574460518400-s_ec/ https://www.linkedin.com/posts/prabhanjanakumar_agent-virtual-machine-ugcPost-7393622574460518400-s_ec/ Mon, 10 Nov 2025 00:00:00 GMT Taking the term “Agent Virtual Machine” seriously as a runtime tuned for a class of task, and reading Anthropic's Skills pattern as its module registry — metadata first, the module only on demand. https://www.linkedin.com/posts/prabhanjanakumar_cline-githubcopilot-promptengineering-ugcPost-7385912101833416704-d6hU/ https://www.linkedin.com/posts/prabhanjanakumar_cline-githubcopilot-promptengineering-ugcPost-7385912101833416704-d6hU/ Mon, 20 Oct 2025 00:00:00 GMT A prompt that carries a demo becomes unmanageable the moment it has to hold production quality — and the patterns different codebases are converging on to keep them maintainable. https://www.linkedin.com/pulse/return-command-line-ai-development-prabhanjan-kumar-jybqc https://www.linkedin.com/pulse/return-command-line-ai-development-prabhanjan-kumar-jybqc Sun, 17 Aug 2025 00:00:00 GMT Why a full-width prompt, a visible task breakdown, and inline diffs make a CLI stick where an IDE sidebar doesn't — AI work is execution-heavy, not edit-heavy. https://www.linkedin.com/pulse/how-markdown-become-new-interface-ai-driven-prabhanjan-kumar-e07sc https://www.linkedin.com/pulse/how-markdown-become-new-interface-ai-driven-prabhanjan-kumar-e07sc Tue, 27 May 2025 00:00:00 GMT The files appear in a fixed order — rules, then PRD.md, then TASK.md, then ARCHITECTURE.md — because each one is forced by a failure the last couldn't absorb. You don't adopt a process; you rediscover why one exists, at speed. https://www.linkedin.com/posts/prabhanjanakumar_usb-port-for-ai-model-context-protocol-share-7314861311522230272-qJwT/ https://www.linkedin.com/posts/prabhanjanakumar_usb-port-for-ai-model-context-protocol-share-7314861311522230272-qJwT/ Mon, 07 Apr 2025 00:00:00 GMT REST tells a model what to call. MCP lets it discover what's possible — tool descriptions, parameter schemas, resources, and the prompts that guide their use. https://www.linkedin.com/pulse/ai-code-generated-now-what-prabhanjan-kumar-e4atc https://www.linkedin.com/pulse/ai-code-generated-now-what-prabhanjan-kumar-e4atc Tue, 18 Mar 2025 00:00:00 GMT You read every generated snippet, until you don't — then you're just running it, pasting logs back, and shipping. The dilemmas that matter start when the model can no longer fix its own output. https://www.linkedin.com/pulse/deepseek-r1-ai-learns-like-master-baker-prabhanjan-kumar-lh1ac https://www.linkedin.com/pulse/deepseek-r1-ai-learns-like-master-baker-prabhanjan-kumar-lh1ac Mon, 17 Feb 2025 00:00:00 GMT Four terms — R1-Zero, GRPO, rejection sampling, Mixture-of-Experts — that obscure more than they explain, unpacked through a baker perfecting a recipe. https://www.linkedin.com/pulse/new-developer-reality-thriving-ai-age-prabhanjan-kumar-szoac https://www.linkedin.com/pulse/new-developer-reality-thriving-ai-age-prabhanjan-kumar-szoac Sun, 19 Jan 2025 00:00:00 GMT The expectation was thinking less. What actually happened was thinking more — the work moved off writing the logic and onto deciding what you want and judging what came back. https://www.linkedin.com/pulse/kernel-sage-prabhanjan-kumar-hwsrc https://www.linkedin.com/pulse/kernel-sage-prabhanjan-kumar-hwsrc Tue, 24 Dec 2024 00:00:00 GMT It's easier to understand something when a friend explains it than when you read the book. So what if the Linux kernel could talk — a CLI where you ask a subsystem to describe itself. https://medium.com/@prabhic/the-awakening-of-cells-146ae0857925 https://medium.com/@prabhic/the-awakening-of-cells-146ae0857925 Sun, 17 Nov 2024 00:00:00 GMT One prompt — a parable about cells that already know what to do — given to three models. Claude answered with a fable, o1-preview with self-help bullets, GPT-4o with a structured explainer. https://www.linkedin.com/posts/prabhanjanakumar_based-on-the-comment-if-we-generate-code-share-7262695598615601152-Kj2D/ https://www.linkedin.com/posts/prabhanjanakumar_based-on-the-comment-if-we-generate-code-share-7262695598615601152-Kj2D/ Thu, 14 Nov 2024 00:00:00 GMT If intent is the thing you actually author, the specification becomes the source of truth and the code becomes an intermediate output — the way assembly already did. https://www.linkedin.com/posts/prabhanjanakumar_learning-cpp-rust-ugcPost-7261441152401186816-BReD/ https://www.linkedin.com/posts/prabhanjanakumar_learning-cpp-rust-ugcPost-7261441152401186816-BReD/ Sun, 10 Nov 2024 00:00:00 GMT Animating the transformation of a program from C++ into Rust, so the unfamiliar language is learned as a delta from the familiar one rather than from scratch. https://www.linkedin.com/posts/prabhanjanakumar_old-world-vs-new-world-share-7259469794284888065-xF48/ https://www.linkedin.com/posts/prabhanjanakumar_old-world-vs-new-world-share-7259469794284888065-xF48/ Tue, 05 Nov 2024 00:00:00 GMT When the implementation was the scarce thing, you kept the code secret. When it isn't, the moat moves to system design, data, and the expertise to execute. https://www.linkedin.com/posts/prabhanjanakumar_git-and-mind-share-7257032241518632961-W7L8/ https://www.linkedin.com/posts/prabhanjanakumar_git-and-mind-share-7257032241518632961-W7L8/ Tue, 29 Oct 2024 00:00:00 GMT Memory as commits — deltas, not whole copies. Recall as hashing on a smell or a mood. Beliefs that branch, conflict, and merge. The mind described in the one version-control system its readers already know cold. https://www.linkedin.com/posts/prabhanjanakumar_copilot-cursor-claude-share-7255597449174495232-cxxR/ https://www.linkedin.com/posts/prabhanjanakumar_copilot-cursor-claude-share-7255597449174495232-cxxR/ Fri, 25 Oct 2024 00:00:00 GMT If the developer's job is reviewing generated code, what is the code reviewer's job — reviewing already-reviewed generated code? The regress is a joke with a real problem inside it. https://www.linkedin.com/pulse/secret-behind-cursor-ai-ides-power-prabhanjan-kumar-hjj0c https://www.linkedin.com/pulse/secret-behind-cursor-ai-ides-power-prabhanjan-kumar-hjj0c Mon, 09 Sep 2024 00:00:00 GMT Two weeks in Cursor, against Copilot, GPT-pilot, GPT-engineer and Aider. The win isn't the model — it's Composer holding context across many files, and a hundred small choices about where the panel sits. https://www.linkedin.com/pulse/how-ai-made-understanding-new-codebase-effortless-prabhanjan-kumar-0jjoc https://www.linkedin.com/pulse/how-ai-made-understanding-new-codebase-effortless-prabhanjan-kumar-0jjoc Mon, 26 Aug 2024 00:00:00 GMT Four ways to make an unfamiliar codebase legible — collapse it to one runnable file, reduce it to pseudocode, ask the model to narrate its history as a code historian, or have it emit a sequence diagram. https://www.linkedin.com/pulse/how-can-word-ask-query-inside-self-attention-llms-prabhanjan-kumar-rflfc https://www.linkedin.com/pulse/how-can-word-ask-query-inside-self-attention-llms-prabhanjan-kumar-rflfc Fri, 16 Aug 2024 00:00:00 GMT Every explanation of self-attention hands you Query, Key and Value already formed. This one works backwards: what problem would make someone invent them. https://www.linkedin.com/pulse/how-does-llms-learn-lessons-from-human-ai-mistakes-prabhanjan-kumar-f4u7c https://www.linkedin.com/pulse/how-does-llms-learn-lessons-from-human-ai-mistakes-prabhanjan-kumar-f4u7c Sun, 11 Aug 2024 00:00:00 GMT Loss as the distance between what you aimed for and what you hit — worked up from missed free throws to the objectives that actually train a model. https://www.linkedin.com/pulse/what-llms-really-learning-prabhanjan-kumar-wejfc https://www.linkedin.com/pulse/what-llms-really-learning-prabhanjan-kumar-wejfc Sun, 04 Aug 2024 00:00:00 GMT A ladder from binary logic up to the weights of a 405B model, ending where most explanations don't bother to go — what the numbers actually are in RAM, and what file they sit in on disk. https://www.linkedin.com/pulse/llms-smarter-debugging-strategic-keyword-use-prabhanjan-kumar-0ghtc https://www.linkedin.com/pulse/llms-smarter-debugging-strategic-keyword-use-prabhanjan-kumar-0ghtc Tue, 23 Jul 2024 00:00:00 GMT Adding two words — “think critically” — measurably changed the quality of debugging answers. A record of what prompting took before models did the deliberating themselves. https://www.linkedin.com/pulse/comparing-traditional-computing-llms-prabhanjan-kumar-t3hoc https://www.linkedin.com/pulse/comparing-traditional-computing-llms-prabhanjan-kumar-t3hoc Sat, 20 Jul 2024 00:00:00 GMT Fourteen mappings from the machine he spent twenty-five years inside to the one he was learning — attention as memory access, context window as cache, fine-tuning as a microcode update. https://www.linkedin.com/pulse/embracing-positivity-how-neural-networks-learn-stay-positive-kumar-nfhoc https://www.linkedin.com/pulse/embracing-positivity-how-neural-networks-learn-stay-positive-kumar-nfhoc Fri, 12 Jul 2024 00:00:00 GMT One of the simplest rules in machine learning — pass positive values through, zero everything else — and why running it across a whole tensor at once is the point. https://www.linkedin.com/posts/prabhanjanakumar_prompting-in-ai-is-now-akin-to-piloting-share-7214544766275833856-oX8J/ https://www.linkedin.com/posts/prabhanjanakumar_prompting-in-ai-is-now-akin-to-piloting-share-7214544766275833856-oX8J/ Thu, 04 Jul 2024 00:00:00 GMT Prompting is like piloting an information plane without brakes. The hard part is knowing where to halt. https://www.linkedin.com/pulse/developers-view-prompting-prabhanjan-kumar-2nuxc https://www.linkedin.com/pulse/developers-view-prompting-prabhanjan-kumar-2nuxc Tue, 02 Jul 2024 00:00:00 GMT Eleven mappings from the parts of a prompt to the parts of a program — verbs as functions, conditions as if-statements, constraints as assertions. https://www.linkedin.com/posts/prabhanjanakumar_reading-code-feels-much-comfortable-than-share-7211967048296411137-taUi/ https://www.linkedin.com/posts/prabhanjanakumar_reading-code-feels-much-comfortable-than-share-7211967048296411137-taUi/ Thu, 27 Jun 2024 00:00:00 GMT Reading code feels more comfortable than reading large prompts. Is AI increasing complexity or decreasing it?