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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rudra Techie: The Notebook</title><link>https://rudratechie.xyz/blog</link><description>AI, benchmarks, and building useful things.</description><language>en</language><atom:link href="https://rudratechie.xyz/feed.xml" rel="self" type="application/rss+xml" /><item><title>Coding Agent Benchmarks Miss the Hard Part</title><link>https://rudratechie.xyz/blog/code-agent-benchmarks-miss-the-hard-part</link><guid isPermaLink="true">https://rudratechie.xyz/blog/code-agent-benchmarks-miss-the-hard-part</guid><description>Passing coding tasks is not the same as safely shipping changes. A practical look at what agent benchmarks reveal, what they leave out, and how to test a coding agent yourself.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Benchmarks</category></item><item><title>RAG vs Long Context: Choose by Failure Mode</title><link>https://rudratechie.xyz/blog/rag-vs-long-context-choose-by-failure</link><guid isPermaLink="true">https://rudratechie.xyz/blog/rag-vs-long-context-choose-by-failure</guid><description>A clear engineering guide to retrieval-augmented generation and long context windows, with a decision framework based on freshness, corpus size, citations, and failure cost.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Building</category></item><item><title>Write Technical Posts Without AI Slop</title><link>https://rudratechie.xyz/blog/write-technical-posts-without-ai-slop</link><guid isPermaLink="true">https://rudratechie.xyz/blog/write-technical-posts-without-ai-slop</guid><description>A practical workflow for writing original technical content that uses AI without losing your examples, judgement, evidence, or natural voice.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>AI &amp; culture</category></item><item><title>The Real Cost of AI Work</title><link>https://rudratechie.xyz/blog/measure-the-real-cost-of-ai-work</link><guid isPermaLink="true">https://rudratechie.xyz/blog/measure-the-real-cost-of-ai-work</guid><description>Measure AI project cost in retries, review, latency, maintenance and errors. A practical worksheet to decide whether a feature is earning its complexity.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Building</category></item><item><title>LinkedIn AI Slop Is Making Us Worse at Thinking</title><link>https://rudratechie.xyz/blog/linkedin-ai-slop-brain-rot</link><guid isPermaLink="true">https://rudratechie.xyz/blog/linkedin-ai-slop-brain-rot</guid><description>Why synthetic polish spreads on LinkedIn, how it changes what we reward, and a practical way to make AI-assisted writing sound like you again.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>AI &amp; culture</category></item><item><title>An AI Benchmark Score Is Not a Verdict</title><link>https://rudratechie.xyz/blog/benchmark-score-is-not-a-verdict</link><guid isPermaLink="true">https://rudratechie.xyz/blog/benchmark-score-is-not-a-verdict</guid><description>How to read AI benchmarks without being fooled by a leaderboard. Learn to inspect task design, scoring, baselines, contamination, variance, and the gap between a score and your job.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Benchmarks</category></item><item><title>Benchmark Contamination: When Tests Leak</title><link>https://rudratechie.xyz/blog/benchmark-contamination-explained</link><guid isPermaLink="true">https://rudratechie.xyz/blog/benchmark-contamination-explained</guid><description>What training data leakage means for AI benchmark scores, what contamination can and cannot prove, and how to evaluate models on genuinely fresh work.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Benchmarks</category></item><item><title>How to Start Learning AI: A Practical Path</title><link>https://rudratechie.xyz/blog/how-to-start-learning-ai</link><guid isPermaLink="true">https://rudratechie.xyz/blog/how-to-start-learning-ai</guid><description>A practical AI learning path from Python and machine learning basics to language models, evaluation and a first useful project, with a weekly study loop.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Learning</category></item><item><title>Build an AI Project That Solves a Real Problem</title><link>https://rudratechie.xyz/blog/build-your-first-personal-ai-project</link><guid isPermaLink="true">https://rudratechie.xyz/blog/build-your-first-personal-ai-project</guid><description>A step-by-step framework to choose a personal AI project, define its success measure, build a safe prototype and learn from the results.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Building</category></item><item><title>How to Start a Startup: Test the Problem First</title><link>https://rudratechie.xyz/blog/validate-startup-problem-before-building</link><guid isPermaLink="true">https://rudratechie.xyz/blog/validate-startup-problem-before-building</guid><description>A practical first step for starting a startup: speak to potential users, test whether the problem happens often, measure current workarounds and avoid mistaking compliments for demand.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Building</category></item><item><title>When to Automate a Workflow</title><link>https://rudratechie.xyz/blog/when-to-automate-a-workflow</link><guid isPermaLink="true">https://rudratechie.xyz/blog/when-to-automate-a-workflow</guid><description>Decide whether to automate a repeated task using frequency, stability, error cost and human judgement. Includes a practical automation scorecard and safe rollout approach.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Building</category></item><item><title>Setting Up Claude Code with the BMAD Method</title><link>https://rudratechie.xyz/blog/claude-code-bmad-method-setup</link><guid isPermaLink="true">https://rudratechie.xyz/blog/claude-code-bmad-method-setup</guid><description>A practical setup for using Claude Code with the current BMAD-METHOD: install versioned workflows, give the agent a clear project brief, and keep agile planning proportional.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Building</category></item><item><title>Context Engineering for Coding Agents</title><link>https://rudratechie.xyz/blog/context-engineering-for-coding-agents</link><guid isPermaLink="true">https://rudratechie.xyz/blog/context-engineering-for-coding-agents</guid><description>A practical guide to repository instructions, task context, source-of-truth documents, code discovery and verification for coding agents like Claude Code.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Building</category></item><item><title>Build a Practical AI Evaluation Set</title><link>https://rudratechie.xyz/blog/build-a-practical-ai-evaluation-set</link><guid isPermaLink="true">https://rudratechie.xyz/blog/build-a-practical-ai-evaluation-set</guid><description>Create a trustworthy first evaluation set for an AI project: collect representative examples, write success criteria before comparing models, score failures and retain regression tests.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Benchmarks</category></item><item><title>Tokens, Context and Transformers: An LLM Guide</title><link>https://rudratechie.xyz/blog/tokens-context-and-transformers-for-beginners</link><guid isPermaLink="true">https://rudratechie.xyz/blog/tokens-context-and-transformers-for-beginners</guid><description>A beginner-friendly explanation of tokens, context windows, transformer attention and next-token prediction, with examples that help debug real language-model applications.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Learning</category></item><item><title>How to Read an AI Research Paper</title><link>https://rudratechie.xyz/blog/how-to-read-an-ai-research-paper</link><guid isPermaLink="true">https://rudratechie.xyz/blog/how-to-read-an-ai-research-paper</guid><description>A structured reading workflow for AI research papers: identify the research question, inspect methods and baselines, read result tables carefully and find limitations before trusting the headline.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Learning</category></item><item><title>Ship an AI Feature With a Safe Fallback</title><link>https://rudratechie.xyz/blog/safe-first-deployment-for-ai-projects</link><guid 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Miss</title><link>https://rudratechie.xyz/blog/gemini-4-argon-benchmarks-and-real-work</link><guid isPermaLink="true">https://rudratechie.xyz/blog/gemini-4-argon-benchmarks-and-real-work</guid><description>Google reports strong Gemini 4 Argon results, but what do the benchmark suites measure, which gains transfer to real work, and what does a different model cost?</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Research</category></item><item><title>Phonon-2: Open Speech Recognition on Device</title><link>https://rudratechie.xyz/blog/phonon-2-open-speech-recognition-on-device</link><guid isPermaLink="true">https://rudratechie.xyz/blog/phonon-2-open-speech-recognition-on-device</guid><description>A close look at Phonon-2&apos;s compact weights, reported word error rate, Apple Neural Engine speed, licensing and the real evaluation questions for local transcription.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Research</category></item><item><title>What AI-Generated Math Proofs Actually Verify</title><link>https://rudratechie.xyz/blog/openai-ai-mathematics-results-october-2026</link><guid isPermaLink="true">https://rudratechie.xyz/blog/openai-ai-mathematics-results-october-2026</guid><description>How to assess OpenAI&apos;s October 2026 mathematics results: what the Lean formalizations establish, what the human-written manuscripts still need, and why discovery is not the same as verification.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Research</category></item><item><title>Why Word Error Rate Isn&apos;t Enough</title><link>https://rudratechie.xyz/blog/speech-recognition-wer-production-evaluation</link><guid isPermaLink="true">https://rudratechie.xyz/blog/speech-recognition-wer-production-evaluation</guid><description>Understand how WER works, which transcript errors matter in practice, and how to build a speech recognition evaluation using your actual microphones, accents and vocabulary.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Benchmarks</category></item><item><title>Compare AI Models on Cost, Latency and Quality</title><link>https://rudratechie.xyz/blog/reproducible-model-comparison-cost-latency</link><guid isPermaLink="true">https://rudratechie.xyz/blog/reproducible-model-comparison-cost-latency</guid><description>A repeatable method for comparing AI models on your own tasks, controlling prompts and tools while tracking success, retries, latency and total operating cost.</description><pubDate>Sat, 17 Oct 2026 06:30:00 GMT</pubDate><category>Benchmarks</category></item></channel></rss>
