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My LLM codegen workflow atm

harper.blog

A detailed walkthrough of my current workflow for using LLms to build software, from brainstorming through planning and execution.

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🤖 Building with AI: A Summer Reading Collection

A collection of articles highlights various approaches and insights into optimizing AI-assisted coding workflows, primarily focusing on Claude Code and its transformative impact on software development.

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Much Ado About Vibe Coding

Lauren Goode convinced her editors at Wired to let her spend a couple of days at a tech company called Notion learning how to vibe-code (i.e. AI-assisted comput

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Bliki
5 inbound links en generative AIcomputer historyproject planningenterprise architecturecollaborationapplication architectureagileteam organizationtechnical leadershipbad thingsconferenceswriting
Chain-of-Vibes

Chain-of-Vibes is a workflow that lets you overcome AI's current inadequacies in tackling meaty coding tasks, by setting up a tight feedback loop between yourself and the AI.

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My Weeknotes for the last Week of February

I managed to avoid going overboard with carnival festivities. Finally published the podcast episode about Auphonic that had been sitting in the queue for over two months. I'm hoping to prevent such long delays going forward. I had planned to release a new django-cast update with properly cacheable transcript data, but it turned out to be more challenging than anticipated - hopefully I can get to it next week.

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Generative AI, Machine Learning

Useful links related from Generative AI, ML space Collections Gen AI- Collection of Articles on AI Code Generation and its pros and cons AI Guide by Mozilla Collection of resources related to Applied ML List of for MLOps Prompt Engineering Playbook for Programmers Free courses Fast AI by Jeremy Howard AI Canon - List of resources around GPT Free Deep learning course Articles AI native software Engineer in 2025 My LLM codegen workflow atm How to build your own perplexity for any dataset How a Machine Learns Machine learning is still too hard - Year 2022 Neural Networks from Scratch History of AI Machine Learning Algorithms: What is a Neural Network? What is Benford’s Law and why is it important for data science? Benford’s Law and Financial Statements Data Scientists Should Be More End-to-End Team Data science process (Microsoft) Traits of Good Data Scientist The First Rule of Machine Learning: Start without Machine Learning Deep learning is hitting wall Real world Recommendation System Videos Neural Networks Demystified Deep Learning: A Crash course Vector Embeddings, Vector Databases Storing OpenAI embeddings in Postgres with pgvector ChatGPT, LLMs A practical guide to building successful LLM products. Emerging Architecture for LLM Applications LocalGPT - Chat with your documents on your local device using GPT models Run LLMs from command line Resources on LLMs AI based Translation Lokalize - AI based translation of file Vibery - Semantic Search using embeddings and KNN Tools Genkit - An open-source framework for building AI-powered apps Markitdown - Convert PDF and Office documents to markdown to feed into LLM Aider - AI pair programming in your terminal An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. Vespa is an

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Putting Gemini 2.5 Pro through its paces

There’s a new release from Google Gemini this morning: the first in the Gemini 2.5 series. Google call it “a thinking model, designed to tackle increasingly complex problems”. It’s already …

3 inbound links article en google 407ai 2023generative-ai 1790llms 1756gemini 185vision-llms 85pelican-riding-a-bicycle 113llm-reasoning 98llm-release 199files-to-prompt 24chatbot-arena 25