Profile avatar
bibryam.bsky.social
📌 Architect, turned product manager 🦆 Co-author of Kubernetes Patterns 🎩 Product manager at Diagrid, ex Red Hat 🤖 AI newsletter for devs 👉 https://generativeprogrammer.com/
109 posts 360 followers 28 following
Prolific Poster

I wrote a new post: The End of CLI as We Know It generativeprogrammer.com/p/the-end-of...

Applied "Software Engineering at Google" 👌 Practices worth adopting for other organizations (and the impact of AI)

Chain of Draft: Thinking Faster by Writing Less buff.ly/WJmKT4L

AI in software engineering at Google: Progress and the path ahead

Hallucinations in code are the least dangerous form of LLM mistakes The real danger is undetected logical errors. Developers should refine their skills in reviewing AI-generated code buff.ly/I0NsFHu by @simonwillison.net

📣 New issue alert: Generative Programmer Everything that happened in AI-assisted development last week. 👉 buff.ly/NcJTxJ0 #GenerativeAI #DeveloperTools

Prompt Driven Development - a comprehensive write up of integrating prompts into development practices buff.ly/SM9f6EK by Andrew Miller

🚀 The best article on inference-time reasoning I've read this week! 📖 The State of LLM Reasoning Models – Part 1: Inference-Time Compute Scaling by @rasbt

10 Ways for Creating Software with AI 1. AI-Assisted Development @ttaulli 2. AI Native Development @guypod 3. Chat-Oriented Programming @Steve_Yegge 4. Acceptance Testing @davefarley77 5. Vibe Coding @karpathy 6. Speech-to-Code @addyosmani 7. Diagram... generativeprogrammer.com/p/talk-draw-...

Talking to LLM APIs is easy. But what about observability, resilience, and security? In this blog, I dive into the new @daprdev.bsky.social Conversation API and how to monitor & secure LLM interactions at scale. Sourcecode: github.com/diagrid-labs... Article: www.diagrid.io/blog/operati...

Why most AI Agents fail & how to fix them buff.ly/3WRGb0Y An excellent whitepaper (requires email)

Multi-agent architectures buff.ly/v4snfdT

ChatGPT Cheat Sheet

Theory vs Practice

Which AI to Use Now

The patterns behind viral AI products An excellent analysis of UI patterns in AI-native products. TLDR: AI isn’t the differentiator anymore—great UX is. buff.ly/3XggPtW

Curated #GenAI Posts for #Devs 👇 📬🤖 Generative Programmer Issue #7 is out! buff.ly/4LQ1eIF

The State of AI in the Cloud 2025

Artificial Intelligence Markup Language - an open standard scripting language for chatbots buff.ly/4bdMCRX

5 Code Review Anti-Patterns You Can Eliminate with AI - God Class - Spaghetti Code - Nit-Picking - Primitive Obsession - Shotgun Surgery

Hilary Gridley's 30 Days of learning Prompting

🚀 AI-powered web apps, no AI model deployment required! Chrome AI is building task-specific web APIs—Prompt, Summarizer, Writer & Rewriter—that run Gemini Nano locally in your browser.

AI is Stifling Tech Adoption "Established tools from before AI’s rise (e.g., React) will remain dominant for longer because AI reinforces their usage, affecting the evolution of software development. "

Create an video influencer with AI for free

"How do you balance AI assistance with maintaining your coding abilities?" Reddit discussion: I can't code anymore

Best AI Coding Tools and Assistants in 2025 https://buff.ly/3ET6bD2

How I use LLMs as a staff engineer https://buff.ly/4jHTDyr

👉 Being anti-LLM might hurt your career 👉 LLMs are terrible at writing idiomatic code 👉 I don’t think junior devs should rely on LLMs 👉 At some point, not using AI will become a negative point on your performance reviews. Interesting discussion on #hackernews

Emerging Patterns in Building GenAI Products (by ThoughtWorks)

Three Observations about AI by Sam Altman 📈 Intelligence scales logarithmically with more computing power, data, and investment. 💰 AI costs drop rapidly – 10x every 12 months 🚀 Economic value grows Super-Exponentially, driving continuous investment.

How I use LLMs as a staff engineer https://buff.ly/4jHTDyr

Text Data Augmentation for Large Language Models https://buff.ly/4hFMm0D

Docs in LLMs are OUTDATED. DevDocs is a MCP server for chatting with your docs

Agile in the Age of AI https://buff.ly/42TUWEi 🤖 Is Scrum Ready for AI? Henrik Kniberg explains how AI accelerates development, shrinks teams, and shifts roles.

Test-driven development meets AI 🤝 1. Describe what you want 2. Add some tests 3. PYTHONESS generates working code. Less back-and-forth with ChatGPT until the code works 👍

Andrew Ng Keynote on The Rise Of AI Agents And AI Trends

An End-to-End Framework for Production-Ready LLM Systems

AI and cognitive offloading: sharing the thinking process with machines

Google's new 'Chain of Agents' beats both RAG and long-context LLMs at handling massive texts. The idea: Instead of cramming everything into a single context, it creates a chain of AI agents that process and pass information sequentially among themselves. https://buff.ly/4axIgVH

AI and incident response https://buff.ly/40LonWv

Everybody’s Talking About GenAI... so What is it? https://buff.ly/4aPlMj5

🤖 Generative Programmer #6 is out! #GenAI digest for #Devs👇 https://buff.ly/42NgRNF

Dapr University just dropped! In our first course, #Dapr 101, you'll learn about local dev setup with the Dapr CLI and run Dapr apps to explore the three most popular APIs: State Management, Service Invocation and Pub/Sub. Try this free, browser-based course now at https://bit.ly/3Es9BMS

The Ultimate LLM Observability Guide

Practical strategies for evaluating "the effective" agentic patterns https://buff.ly/40ZEzVI

A Brief History of AI https://buff.ly/3CIVXo8

Gartner’s research maps the emerging #Agentic #Patterns—when to user, and when to avoid. https://buff.ly/3WTAu2S

A white paper on agents by Google's Patrick Marlow, Vladimir Vuskovic and Julia Wiesinger. Explains the role of #tools, #extensions, and #datastores—in a way that just makes sense.

"You can ask an LLM to do things you would never ask a human to do." How I program with LLMs