DeepWiki generates documentation for a Github repository, analyzing the source code and creating diagrams. It’s quite impressive.

On the very likely outcomes of the impacts LLMs are having on software engineers and their craft.

I use AI a lot for work, pretty much all day every day. I use coding assistants and custom agents I’ve built. I use AI to help code review changes, dig into bugs, and keep track of my projects. I’ve found lots of things it’s very helpful with, and lots of things it’s terrible at. If there’s one thing I have definitely learned: it does not work the way I imagined.

People keep asking me If I use Generative AI tools for coding and what I think of them, so this is my effort to put my thoughts in writing, so that I can send people here instead of having to repeat myself every time I get the question.

Abstract page for arXiv paper 2506.08872: Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

One of the major turning points in my life was reading my dad’s copy of Robert Cialdini’s Influence: The Psychology of Persuasion as a teenager. […] But Cialdini’s book was a turning point because it highlighted the very real limitations to human reasoning. No matter how smart you were, the mechanisms of your thinkings could easily be tricked in ways that completely bypassed your logical thinking and could insert ideas and trigger decisions that were not in your best interest.

Understanding the Limits of Large Reasoning Models

Understanding the Limits of Large Reasoning Models

Author shares his perspective on the impact of genAI in the field of software development.

Generate context with up-to-date documentation for LLMs and AI code editors

Traces, evals, prompt management and metrics to debug and improve your LLM application. Integrates with Langchain, OpenAI, LlamaIndex, LiteLLM, and more.

Generate context with up-to-date documentation for LLMs and AI code editors