Grafana/Grafana Labs blog on Grafana Labs
“Grafana's official blog on observability, AI, and cost optimization.”
Hashicorp/HashiCorp Blog
“HashiCorp's blog on infrastructure security, automation, and multi-cloud management.”
Datadoghq/Datadog | The Monitor blog
“Datadog's engineering blog: monitoring everything, everywhere, all at once.”
Engineering/Engineering at Meta
“Meta's engineering blog: scaling infrastructure with AI, security, and performance.”
Dropbox/Dropbox Tech Blog
“Dropbox engineering scales storage and AI with pragmatic deep dives.”
Eng/Lyft Engineering - Medium
“Lyft's engineering blog: scaling marketplace ML and experimentation.”
Engineering/Spotify Engineering
“Spotify engineers share practical AI and automation insights.”
Slack/Engineering at Slack
“Slack’s engineering blog: scaling reliability, security, and AI agents.”
Github/The GitHub Blog
“GitHub's official engineering blog on tools, community, and developer policy.”
Discord/Discord Blog
“Discord's engineering blog: scaling chat, shipping features, and postmortems.”
Netflixtechblog/Netflix TechBlog - Medium
“Netflix's engineering blog: scaling entertainment with machine learning and media infrastructure.”
Fly/The Fly Blog
“Building and running distributed apps on Fly.io's edge cloud.”
Blog/The Cloudflare Blog
“Cloudflare's engineering blog on building a secure, agentic internet.”
Tailscale/Blog on Tailscale
“Tailscale's engineering blog: practical networking and security for modern infrastructure.”
nomic-ai/gpt4all
“Solid local LLM runner, but the repo is just a marketing page.”
run-llama/llama_index
“The de facto RAG framework, but it's a bloated kitchen sink.”
langchain-ai/langchain
“Overengineered glue for LLMs that became an industry standard despite itself.”
TabbyML/tabby
“Solid self-hosted Copilot alternative for teams that want GPU control.”
microsoft/DeepSpeed
“Essential for training large models, but overkill for most teams.”
BerriAI/litellm
“Overengineered LLM gateway that solves problems you probably don't have.”
axolotl-ai-cloud/axolotl
“The de facto standard for open-source LLM fine-tuning, but not for beginners.”
huggingface/transformers
“The de facto standard for transformer models, but bloated and opinionated.”
ggerganov/llama.cpp
“The de facto standard for local LLM inference, but this repo is just its scripts.”
lmstudio-ai/lmstudio-js
“Overengineered SDK for a niche local LLM tool.”
huggingface/text-generation-inference
“Maintenance mode project, use vLLM or SGLang instead.”
stanfordnlp/dspy
“DSPy: The most important LM framework you're not using yet.”
unslothai/unsloth
“Fastest LLM finetuning library, but only if you use their hardware or specific GPUs.”
mudler/LocalAI
“Solid local AI server, but not the innovation it claims.”
vllm-project/vllm
“The de facto standard for high-throughput LLM serving, but not for beginners.”
mistralai/mistral-inference
“Official Mistral inference code: minimal, but don't expect a framework.”
NousResearch/hermes-agent
“Over-engineered Swiss Army knife that tries to do everything, masters nothing.”
openclaw/openclaw
“Over-engineered AI gateway that confuses complexity with capability.”
huggingface/smolagents
“A neat toy for code-gen agents, but not production-ready.”
simonw/llm
“Solid Swiss Army knife for LLM CLI work, but not revolutionary.”
Vaswani et al./Attention Is All You Need
“The architecture that rewrote the decade — every major language model traces its lineage here.”
DeCandia et al./Dynamo: Amazon's Highly Available Key-Value Store
“The paper that gave the industry vocabulary for hard trade-offs — and proved that 'always wrong sometimes' beats 'sometimes unavailable'.”