← Back to feed

Using Parseable with Datasette for OpenTelemetry traces

L3 · BuilderTutorials & GuidesSimon Willison's Blog· 10/6/2026

Shows practical integration patterns for developers working with observability tools and OpenTelemetry traces.

AI Summary

Simon Willison shares how to use Parseable observability tool with Datasette for OpenTelemetry traces, including setup patterns and integration examples.

Read Original
0 upvotes · 0 downvotes · 1 min read

Related Articles

L3 · BuilderTutorials & GuidesTowards Data Science
Introduction to Reinforcement Learning: Multi-Armed Bandit Simulation in Python

This tutorial teaches reinforcement learning fundamentals through building a multi-armed bandit simulation in Python, using a classic RL problem to demonstrate trial-and-error learning.

L4 · DeveloperTutorials & GuidesTowards Data Science
How to Make a Cloud Read a Drone's Mind (and Cut Data Usage by 94%)

A tutorial on building world models in PyTorch to reduce drone/robot data transmission by 94% using predictive modeling instead of constant sensor updates.

L2 · PractitionerTutorials & Guides@bcherny
Boris Cherny (@bcherny): I am surprised that people are surprised this is how I prompt Claude. Talk to Claude the way you would a coworker. There's no secret to prompting. There's no need to be overly scaffolded or prescript

Boris Cherny advocates for natural conversation with Claude rather than complex prompting techniques, suggesting users treat it like a coworker.

L2 · PractitionerTutorials & GuidesLessWrong AI
Comparing AI Policy Courses

Compares AI policy courses from BlueDot Impact, Lens Academy, Vista Institute, and Center for AI and Digital Policy for career upskilling.

L2 · PractitionerTutorials & GuidesTowards Data Science
How I Use AI to Learn New Topics Faster: An AI-Assisted Learning Framework

Author shares a framework using AI voice chat to accelerate learning new topics, featuring three approaches for organizing thoughts and creating study plans.