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Native Anthropic endpoints, tool-call compatibility, and context-window sizing for local Claude Code. Last tested: April 2026. See Changelog at the bottom. Goal Use MacBook Air Gemma 4 26B-A4B Q4, 32K context, LM Studio or Ollama MacBook Pro Gemma 4 26B-A4B Q4 / UD-Q4, 64K context, llama.cpp or LM S
In yet another instance of threat actors quickly jumping on the exploitation bandwagon, a newly disclosed critical security flaw in BerriAI's LiteLLM Python package has come under active exploitation in the wild within 36 hours of the bug becoming public knowledge. The vulnerability, tracked as CVE-
After 14 months of running vLLM 0.6 in production for local code generation tasks, we’ve migrated 100% of our local LLM workloads to Ollama 0.5—and our p99 cold start time dropped from 4.2 seconds to 1.1 seconds, with 40% lower peak memory usage across 12 developer workstations. Ghostty is leaving G
Sharing a recent write-up on optimizing LLM agent system configurations. One issue we ran into is that finding the right setup (model choice, depth, context window, etc.) usually requires expensive trail-and-error with real API calls. That gets costly very quickly, This piece explores a simulation-b
NotebookLM is only as useful as what you’re willing to give it
Optimizing LLM Workflows: Claude for Evaluation, Blender Integration & Token Efficiency Today's Highlights Today's top stories showcase practical applications and optimizations for AI frameworks. We explore leveraging Claude for automated LLM evaluation, its new integration with Blender for creative
Hackers are targeting sensitive information stored in the LiteLLM open-source large-language model (LLM) gateway by exploiting a critical vulnerability tracked as CVE-2026-42208. [...]
The best way to gamble with high chances in LLM is to add constraints and limits. The reason why LLM is good enough for simple ~ medium projects is because of the compiler: LLM output -> compiler screams -> copy paste error to LLM. Now LLM generates a guess of the fix (Thank you stackoverflow for yo
Will it predict World War II? That remains to be seen.
The "Contact Sales" button is a technical debt indicator. Every time a vendor hides their pricing behind a form, they are adding friction to your stack's scalability. We spent months building a pipeline that tracks hundreds of SaaS pricing pages daily. But raw data is just noise. To make it actionab
\n In 2024, 68% of LLM-powered applications spend more engineering hours debugging chains than writing core business logic, according to a Q2 survey of 1,200 senior backend developers. LangChain 0.2.10 and LangSmith 0.12 are the two most widely adopted tools to address this pain point, but our bench
Effectively measuring the performance of applications that are leveraging Large Language Models (LLM) is critical to the adoption of AI technologies in organizations. Legare Kerrison and Cedric Clyburn from RedHat team recently spoke at Arc of AI 2026 Conference about practical methods to evaluate a
Building on ML, Deep Learning introduces neural networks—layered computational structures inspired by the human brain. These networks excel at processing complex data such as images, speech, and text. The next leap in this evolution is Generative AI, which shifts the focus from analyzing data to cre
A short field report on what current AI detectors actually do when you point them at frontier reasoning model output, and what I changed in my own detection workflow. I integrate AI detection into a few small side projects—content moderation pre-filters, writing quality flags, etc. The more I relied
From 'Star Wars' and 'Star Trek' to 'Aliens,' X-Men, anime, and video games, here are just some of the awesome ornaments coming soon.
Late at night, writing code, I had a sudden realization: the experience of building with AI (LLMs) maps almost perfectly onto the foundational principle of alchemy from Fullmetal Alchemist — Comprehension, Deconstruction, Reconstruction. The current paradigm shift in AI development can be told as th
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The prompt injection is coming from inside the house
Discover how the Model Context Protocol (MCP) Java SDK is establishing a new architectural discipline for enterprise LLM integrations. By defining explicit contracts and leveraging MCP servers as anti-corruption layers, it ensures governance, loose coupling, and security alignment with the JVM ecosy
Ça fait un moment que je construis des agents avec LangGraph, et je retombe toujours sur le même problème : chaque message envoyé au LLM peut contenir des données sensibles, et selon le fournisseur que vous utilisez, ce qu'il advient de ces données change complètement. En simplifiant, il y a trois f
