Dropping to log-level

Logs are invaluable when things spin out of control.

Logging Sucks - Your Logs Are Lying To You

Why traditional logging fails and how wide events can fix your observability

Publish events, not logs

Don't think about logs for observability. Think about system boundaries and events.

Announcing Changesets v3 | Changesets

A tool to manage versioning and changelogs with a focus on monorepos

DevEx in Action

Somewhere, right now, a software developer is pulling open a ticket from the project backlog, excited by the prospect of working on something new. As the developer begins reading through the description of the task, their laptop is suddenly flooded with alerts from the team’s production error-tracking system, disrupting the developer’s ability to focus. Eventually, returning to the task at hand, the developer studies the requirements described in the ticket. Unfortunately, the task lacks context and clarity, so the developer asks for help, which will take days to resolve.

FlowLog - Efficient and Extensible Datalog | FlowLog

FlowLog: Efficient and Extensible Datalog via Incrementality

Production-Grade Logging in Rust Applications

A strong application is a well-logged application

A Deep Dive Into MCP and the Future of AI Tooling | Andreessen Horowitz

We explore what MCP is, how it changes the way AI interacts with tools, what developers are already building, and the challenges that still need solving. 

Building personal tools by programming

Tools: Code Is All You Need

The solution to agentic flows was code all along.

Svelte Agentation

Minimal source-inspection tooling for Svelte apps, inspired by Agentation and designed for dev-only workflows.

SciToolAgent: a knowledge-graph-driven scientific agent for multitool integration

Scientific research increasingly relies on specialized computational tools, yet effectively utilizing these tools requires substantial domain expertise. While large language models show promise in tool automation, they struggle to seamlessly integrate and orchestrate multiple tools for complex scientific workflows. Here we present SciToolAgent, a large language model-powered agent that automates hundreds of scientific tools across biology, chemistry and materials science. At its core, SciToolAgent leverages a scientific tool knowledge graph that enables intelligent tool selection and execution through graph-based retrieval-augmented generation. The agent also incorporates a comprehensive safety-checking module to ensure responsible and ethical tool usage. Extensive evaluations on a curated benchmark demonstrate that SciToolAgent outperforms existing approaches. Case studies in protein engineering, chemical reactivity prediction, chemical synthesis and metal–organic framework screening further demonstrate SciToolAgent’s capability to automate complex scientific workflows, making advanced research tools accessible to both experts and nonexperts.