One of the best examples of LLM developer tooling I've heard is from a team that supports software from the 80s-90s. Their only source of documentation is *video interviews* with retired employees. So they feed them into transcription software and get summarized searchable notes out the other end.
Jun 3, 2025 at 11:20 PM
Patrick Collison on Twitter / X
I want some kind of LLM workflow tool.• Ability to manage a set of input files (Markdown or similar), plus other general-purpose context.• With real-time collaboration. (And maybe some concept of snapshots or VCS integration.)• And the ability to create/manage a inference…— Patrick Collison (@patrickc) June 6, 2026
The Obsidian heads were right.
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
Recent large language models (LLMs) advancements sparked a growing research interest in tool assisted LLMs solving real-world challenges…
How to Build an LLM Knowledge Base
A hands-on guide to building a simple LLM knowledge base with raw markdown sources, a compiled wiki, reusable prompts, and an agent that keeps improving the knowledge base over time.
prime-radiant-inc/engineering-notebook
CLI tool that ingests Claude Code sessions, generates LLM summaries, and serves a browsable engineering journal
Sebastian Raschka on Twitter / X
Pretty cool. I think 2025-2026 will be a stronger focus on these in open source tooling.I.e. having LLMs delegate knowledge-based queries to search, which in turn frees up model capacity to improve reasoning capabilities and tool use. https://t.co/wNTg283mb2— Sebastian Raschka (@rasbt) August 12, 2025
open-slopware
Free/Open Source Software choosing to use and/or support LLM usage/AI, as well as alternatives and tips to requesting better policies or forking.
truefoundry/trueforge
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
10 Easy Ways to Enhance Your LLM Wiki or Knowledge Base
Build agents, not pipelines
There are only two ways to use LLMs in a computer program: as part of a pipeline, or as an agent. In other words, either you express the control flow of the program in code, or you give a LLM tools and allow it to manage the control flow itself1.
https://svelte.dev/docs/llms
We support the llms.txt convention for making documentation available to large language models and the applications that make use of them.
LLM Knowledge Bases
A visual breakdown of Andrej Karpathy's approach to building personal knowledge bases powered by LLMs. Learn the 4-phase pipeline: ingest, compile, query, and maintain - with an interactive architecture diagram.
Extensible Software in the age of LLMs | Jeremy Morrell
Solid core + capability-based sandboxes + LLMs = Users with superpowers
