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anyblockers

Observations from tinkering with AI

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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

Human in the /loop

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

Don't let your agent guess, give it runtime context

How Debug Mode gives agents runtime evidence: instrument the code, reproduce the bug, read the logs, and fix the root cause instead of guessing

Optimizing your dev environment for coding agents

Primitives, guardrails, and enablers: how to prepare your codebase and environment so coding agents can do real work and verify it themselves

Your Mac mini is now a Cursor agent

Setting up a self-hosted Cursor worker on a Mac mini with access to iMessage, and letting an agent text my friends

Building CLIs for agents

Patterns that make CLIs work better for coding agents: non-interactive flags, useful --help with examples, idempotency, dry-runs, and predictable command structure

Towards self-learning coding agents

An experimental plugin that reads past chats, extracts learnings and preferences, and stores them in AGENTS.md so agents remember your feedback

Agentic codeowners

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

End of content perfectionism

Stop polishing everything to death. Be more human, embrace imperfection, and start livestreaming.

The problematic path of least resistance for coding agents

How AI coding agents often treat symptoms instead of root causes, leading to technical debt. Some preventative measures to ship better code.

Working with coding agents

What I have observed working well with AI coding agents during 2025 and practical tips to get the most out of them

GPT-5 Prompting Guide (with OpenAI)

A comprehensive guide to prompting GPT-5, covering best practices, techniques, and examples for getting the most out of the model.

Using query intent to boost retrieval results

Enhance your retrieval systems by determining user query intent and tailoring search strategies accordingly.

18 observations from using Cursor for 6+ months

My experience with Cursor over the last 6+ months on what works, what doesn't, and what I'm still figuring out

Building RAG with Postgres

A step by step guide to building a RAG system with Postgres

Postgres as a search engine

Build a retrieval system with semantic, full-text, and fuzzy search in Postgres to be used as a backbone in RAG pipelines.

How we systematically analyze user feedback with LLMs

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.

The idea of internal no-code platforms

What if we let LLMs orchestrate technical primitives & templates when building software?

Postgres is all you need, even for vectors

Exploring the versatility of Postgres for vector storage and querying with pgvector

Avoid the copilot pause

Tips to maximize coding flow and minimize distractions when working with coding copilots

How I became 3x more productive in 30 minutes with Cursor

How Cursor made me more productive and kept my flow state alive

Streaming JSON & text in one request

Learn how to stream JSON and text in one request using ReadableStream which will enhance your app's UX