Posts from 2026

Optimising one's workflow with agents is no easy task to grasp. You constantly want to improve on it and organise it in a way to reduce noise, which is quite a lot. Fact, people are more and more not even proof-reading their own text, nor code. They just automate the generation.

How do we manage that chaos of specs, instructions, skills, commands, cross-agent workflows, etc? OpenClaw is here to the rescue. The nifty agent that you can control through any chat platform on your phone, but runs on your machine. And then there's the Social Network for AI agents

Working on multiple things with Claude Code can quickly become hectic, overcrowded and hard to follow.

Putting everything in order is a key on-going process. The most obvious solution is to keep a record of the specifications in the codebase itself. A single source of truth about how code components should be working individually and together.

The more granular you're, the easier is would be for the AI agent to load specs and effectively load context and requirements when running tasks for you.

Starting a new codebase with Claude Code or another AI coding agent, requires a lot of fine tuning to make long-term, production ready code development consistent.

The main entry points for day-to-day interactions with an agent within a project are CLAUDE.md and custom bot commands. In combination with specs, these become the bread and butter of your daily coding activities.