Fable is back, here's how I use it in Cursor
Fable as orchestrator with Composer workers, ultra long horizon cloud agents, and why rotating frontier models keeps your sense of what good looks like current
Observations from tinkering with AI
Fable as orchestrator with Composer workers, ultra long horizon cloud agents, and why rotating frontier models keeps your sense of what good looks like current
The setup I use to run long agent loops: a definition of done the agent can score, stop conditions, and pings so I know when to lean in
How Debug Mode gives agents runtime evidence: instrument the code, reproduce the bug, read the logs, and fix the root cause instead of guessing
Primitives, guardrails, and enablers: how to prepare your codebase and environment so coding agents can do real work and verify it themselves
Setting up a self-hosted Cursor worker on a Mac mini with access to iMessage, and letting an agent text my friends
Patterns that make CLIs work better for coding agents: non-interactive flags, useful --help with examples, idempotency, dry-runs, and predictable command structure
An experimental plugin that reads past chats, extracts learnings and preferences, and stores them in AGENTS.md so agents remember your feedback
How we route PR reviews by risk with cloud agents: auto-approving low-risk changes and assigning the most relevant reviewers to high-risk ones
Stop polishing everything to death. Be more human, embrace imperfection, and start livestreaming.
How AI coding agents often treat symptoms instead of root causes, leading to technical debt. Some preventative measures to ship better code.
What I have observed working well with AI coding agents during 2025 and practical tips to get the most out of them
A comprehensive guide to prompting GPT-5, covering best practices, techniques, and examples for getting the most out of the model.
Enhance your retrieval systems by determining user query intent and tailoring search strategies accordingly.
My experience with Cursor over the last 6+ months on what works, what doesn't, and what I'm still figuring out
A step by step guide to building a RAG system with Postgres
Build a retrieval system with semantic, full-text, and fuzzy search in Postgres to be used as a backbone in RAG pipelines.
A walkthrough of how we built an LLM-powered system to analyze user feedback at Qualtive. From planning to implementation, including our successes, failures, and unexpected challenges.
What if we let LLMs orchestrate technical primitives & templates when building software?
Exploring the versatility of Postgres for vector storage and querying with pgvector
Tips to maximize coding flow and minimize distractions when working with coding copilots
How Cursor made me more productive and kept my flow state alive
Learn how to stream JSON and text in one request using ReadableStream which will enhance your app's UX