Vibe-coding without supervision is a disaster. Here is my vibe-coding step-by-step guide: 1. Write down a high-level plan 2. Break it down into small phases 3. Focus on one phase at a time For each phase: 1. Add as much context as possible to the plan 2. Include the things you want to build 3. Include the things you don't want to build 4. Commit your code 5. Give the plan to the agent to start building For each iteration of the agent: 1. Review everything the agent built 2. Provide clear feedback for refinements 3. Update the plan with your feedback 4. Discard code and restart anytime the agent messes up As I build critical functionality: 1. Write unit tests for any critical piece of code 2. Ensure these tests run after each agent iteration I'd love to improve this process. What are you doing that you find helpful?

For all those criticizing @theliverdoc , fr his contributions to fighting pseudoscience/ recent skirmish with the great Chess Player Vidit, let me tell u that his life is not easy. Besides his busy medical practice, the great Dr fights pseudoscience, not fr his benefit , but to save precious Indian Lives. That is a noble cause. There is no Dr more abused in Indian Twitter than @theliverdoc . Yet, he continues to do his good work. Sitting in Tamilnadu, I hv heard testimonials of several ppl saved from alcoholism/ potential painful death, just by following him. He has contributed to improving the general health of Indians by his rational, intelligent tweets replete with immense, life-saving wisdom. Bringing his family into ur quarrel with him, tarnishing their image is revolting. Nobody else among the current generation of Indian Drs has done more to improve the health of 1.4 billion Indians, as has Dr.Cyriac Abby Philips, the great hepatologist frm Kerala. He hs a certain style of putting things across, which is his wish. Whenever/wherever Pseudoscience had the potential to destroy human life/good health, this Dr hs appeared on the scene, to explain in simple terms, what is medically good or bad fr the avg Indian. Fr that alone, he shd be awarded the B.C.Roy award fr the best Indian Dr. & don't bring in religion. Not in a single tweet, hs he remotely been critical of ANY religion. Raise a toast to Dr. Cyriac Abby Philips, lovingly called The Liver Doctor. A one-man-army that has saved thousands of lives.

This hit me hard.

Google Maps was struggling. It was slow, clunky, and frustrating to use. Then, one engineer stepped in and rewrote the entire base code in a single weekend. Here’s how Bret Taylor pulled it off.

Outrageously cool paper. A 65% reduction in the incidence (new cases) of liver cancer (hepatocellular carcinoma) was observed in patients diagnosed with cirrhosis consuming ≥ 240 g/day of vegetables. Study: sciencedirect.com/science/ar… Such a simple intervention, which our grandmothers and mothers always used to say. Eat your vegetables! Image courtesy: tinyurl.com/4mfu9xpu

Impact of AI Multimodality in Retail Healthcare: Diagnostics, Personalised Treatment and Experience healthmanagement.org/c/healt…

📈 Data Deep Dive: "Exploring Variability: Understanding Measures of Dispersion, Range, and Interquartile Range" 🌟 Key Concepts: Range & IQR: Quick insights into data spread; IQR minimizes outlier effects. Variance & Standard Deviation: Detailed analysis of spread around the mean. 🔍 Why It's Important: The right dispersion measure can illuminate your data's true story. Essential for robust data analysis in research, business, or policy-making. 💡 Remember: Pair dispersion measures with central tendency for a complete data picture. medium.com/@bragadeeshs/expl… #Statistics #DataAnalysis #Dispersion #Range #IQR #Variance #StandardDeviation

📊 Delving Into Data: "The Core of Data: Central Tendency and the Three Ms — Mean, Median, Mode" 🔑 Understanding the 3Ms: Mean: Best for normal distributions, but watch for outliers! Median: Ideal for skewed data, revealing the true middle. Mode: Crucial for categorical data, showing what's most common. 🧐 Why It Matters: Choosing the right measure can lead to more accurate data interpretations. Essential for informed decision-making across various industries. 💡 Pro Tip: Tailor your approach based on data nature and analytical goals. medium.com/@bragadeeshs/the-… #DataAnalysis #Statistics #CentralTendency #MeanMedianMode #DataScience

🚀 Exploring the Evolution of ML: "The Fine Art of Hyperparameter Tuning: Elevating Machine Learning to Excellence" 🧠 Key Shifts: Hyperparameter tuning is evolving with advanced, adaptive algorithms. AutoML is transforming AI, making it more accessible & efficient. 🔮 Future Outlook: AI development becomes faster, more intuitive, and inclusive. Ethical AI and model interpretability become focal points. 💡 Takeaway: We're entering an era where AI is not just advanced, but also more accessible and responsible. medium.com/@bragadeeshs/the-… #MachineLearning #AutoML #AI #HyperparameterTuning #TechInnovation

🤖💡 "Optimizing AI’s Choices: The Power of Information Gain in Machine Learning" 🔍 Key Insights: Information Gain: A crucial metric for reducing uncertainty in AI models. Challenges: Biases towards certain features, handling continuous data, sensitivity to noise. Balanced Approach: Combine with other metrics for enhanced performance. 🌐 Future Outlook: Ongoing R&D is refining Information Gain for complex datasets. Integrating with advanced ML algorithms for more nuanced AI models. ✨ The Takeaway: A vital tool in AI, guiding informed decision-making. Recognize its potential, yet be mindful of its limitations. medium.com/@bragadeeshs/opti… #AI #MachineLearning #DataScience #InformationGain #ArtificialIntelligence

🔍 Dive into "Unraveling the Mystique of Entropy in Machine Learning: A Journey from Theory to Practice" 🚀 🧠 Why Entropy Matters: It's the compass for understanding data complexity. A key to enhancing model accuracy & decision-making. Vital in quantifying uncertainty in datasets. 🌐 Entropy's Role in ML: From decision trees to deep learning & beyond. Not just for today's data challenges, but a pillar for future innovations. 💡 Insight: Mastering entropy = Mastering the language of information. Essential for any data science enthusiast. medium.com/@bragadeeshs/unra… #MachineLearning #DataScience #Entropy #AI #Innovation

📚 New Resource Alert: "Mastering Regular Expressions in Python: A Practical Guide to Text Processing" 🐍🔍 🌟 Key Insights: Regex: An essential tool for text manipulation & data validation. From basic patterns to advanced features, uncover the power of regex in Python. Learn best practices for efficient & readable expressions. 🧩 Why Regex Matters: It's a game-changer for parsing large datasets, user input validation, and automating text tasks. Complex, yes, but its versatility in text processing is unmatched. 💡 Pro Tip: Mastering regex is a journey of practice and refinement. Embrace its intricacies and unlock new possibilities in data handling! medium.com/@bragadeeshs/mast… #PythonProgramming #Regex #TextProcessing #DataValidation #CodingExcellence

🚀 Just out: "Mastering Python & MySQL Integration: A Comprehensive Guide for Developers" 🐍💾 🔑 What You'll Learn: 🌉 Establishing secure Python-MySQL connections. ✍️ Mastering CRUD operations for data management. 🛠️ Advanced DB techniques: Indexing, complex queries & more. 🚅 Script optimization for faster, scalable apps. 🛠️ Practical Applications: Build robust apps for web, analytics, fintech... Innovate with Python & MySQL in any data-driven domain. 🌟 Why It Matters: Database integration skills are essential in the evolving tech landscape. Keep learning to stay ahead in software development! medium.com/@bragadeeshs/mast… #Python #MySQL #SoftwareDevelopment #DataManagement #TechInnovation

🚀 Just published: "Harnessing the Power of NoSQL in the Big Data Era: A Symbiotic Evolution" 🌐 ✨ Key Insights: 🌟 NoSQL's future? Continuous innovation with AI and real-time analytics. 🔐 Tackling data security, privacy & scalability head-on. 📈 Expect wider adoption across sectors, thanks to its flexibility & scalability. 🎛️ Balancing advanced features with ease of use - crucial for NoSQL's growth. 🔮 Looking Ahead: The NoSQL & Big Data synergy is a landscape of endless possibilities! Staying agile & adaptable is key in this dynamic tech space. medium.com/@bragadeeshs/harn… #NoSQL #BigData #DataAnalytics #CloudComputing #TechInnovation

🚀 #TechTrend: "Scaling Heights with NoSQL: Mastering Growth and Overcoming Challenges" 📈 Key Takeaways: - Strategic scaling with NoSQL: Cassandra's distribution, Redis's speed, Neo4j's relationships, MongoDB's flexibility. - A balancing act: Juggle performance, resource management, and cost. - Learn from Twitter, Netflix, LinkedIn on aligning database choices with business needs. 🧗 Navigating Challenges: - Avoid common pitfalls: Data modeling errors, operational complexity. 🔮 The Future: - As data grows, mastering NoSQL scaling is essential. - Success lies in understanding NoSQL, strategic scaling, and adaptability. medium.com/@bragadeeshs/harn… #NoSQL #DataScaling #BigData #Cassandra #Redis #Neo4j #MongoDB

🚀 #TechTrend: "Scaling Heights with NoSQL: Mastering Growth and Overcoming Challenges" 📈 Key Takeaways: - Strategic scaling with NoSQL: Cassandra's distribution, Redis's speed, Neo4j's relationships, MongoDB's flexibility. - A balancing act: Juggle performance, resource management, and cost. - Learn from Twitter, Netflix, LinkedIn on aligning database choices with business needs. 🧗 Navigating Challenges: - Avoid common pitfalls: Data modeling errors, operational complexity. 🔮 The Future: - As data grows, mastering NoSQL scaling is essential. - Success lies in understanding NoSQL, strategic scaling, and adaptability. medium.com/@bragadeeshs/scal… #NoSQL #DataScaling #BigData #Cassandra #Redis #Neo4j #MongoDB

🌐 #DataTech Insight: "Navigating the NoSQL Universe: Choosing the Right Database for Your Needs" 🚀 Key Points: - NoSQL offers flexibility & scalability, perfect for big data & cloud computing. - Specialized solutions for diverse data needs: MongoDB for unstructured data, Neo4j for complex relationships. - Real-world success across industries like retail, telecom, healthcare. 🔍 Making the Choice: - Match the NoSQL type to your specific data requirements & scalability needs. - Leverage the unique strengths of each to power your data-driven solutions. medium.com/@bragadeeshs/navi… #NoSQL #BigData #CloudComputing #MongoDB #Neo4j #DataManagement

🔔 #Statistics in Real Life: "Deciphering the Bell Curve: A Journey Through Normal Distribution" 📊 Real-World Impact: - Central to understanding data patterns in education & the workplace. - But beware: Not all data fits the bell curve neatly. 🚫 Pitfalls to Avoid: - Don't assume normal distribution for small or skewed samples. - Avoid oversimplifying data, losing sight of individual uniqueness. 💻 #Python Power: - Use Python's data analysis libraries to verify fitting datasets. - Prevent misinterpretations with detailed analysis & visualization. 🌐 Takeaway: - The bell curve is more than stats; it's a lens for data interpretation. - Combine with critical thinking for meaningful insights. medium.com/@bragadeeshs/deci… #BellCurve #DataAnalysis #Python #DataDriven #CriticalThinking

🧐 #DataScience Insight: "Unraveling the Mystery: Correlation is Not Causation" 🔑 How to Tell Them Apart: 1️⃣ Seek controlled experiments for causation clues. 2️⃣ Use statistical tests to assess relationships. 3️⃣ Check if cause precedes effect. 4️⃣ Consider scientific plausibility & consistency. 5️⃣ Look for dose-response relationships. 6️⃣ Rule out alternative explanations. 7️⃣ Apply domain knowledge. 8️⃣ Evaluate the strength of the association. 💡 Remember: - Correlation is a clue, not a conclusion. - Approach data with skepticism & critical thinking. medium.com/@bragadeeshs/unra… #CorrelationVsCausation #Statistics #CriticalThinking #Analytics

🔍 Decoding the Art of Sampling in Statistics: How Small Samples Reflect the Bigger Picture 🌍 From predicting elections with polling to overcoming biases, this article dives into the essence of statistical sampling. Discover the power of techniques like stratified and cluster sampling, and see Python in action, visualizing data trends 📊. Whether you're a stats enthusiast or a Python pro, learn how to make big conclusions from small, well-chosen samples! medium.com/@bragadeeshs/deco… #DataScience #Python #StatisticsExplained 📈🧮🐍