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Articole: 22
  1. 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

  2. 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

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

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

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

  6. 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

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

  8. 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

  9. Stop polishing everything to death.

  10. How AI coding agents often treat symptoms instead of root causes, leading to technical debt.

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

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

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

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

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

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

  17. A walkthrough of how we built an LLM-powered system to analyze user feedback at Qualtive.

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

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

  20. Avoid the copilot pause

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

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

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