17 posts
The real heat in tech is no longer just another model release. AI coding agents are entering real development workflows: taking tasks, editing repositories, running tests, opening pull requests, and forcing old questions about context, safety, and review back onto the table.
Once browser agents move from reading pages to clicking buttons, filling forms, and submitting actions, their product value rises together with the risk of mistakes and overreach. Guardrails must mature before automation is granted broad authority.
Agent systems are no longer just about writing a prompt. What determines production quality is how we select, trim, order, validate, and replay context so the model gets just enough information at each step.
MCP makes tool integration more uniform, but once tools can read files, query databases, and send messages, security becomes a problem of permissions, identity, audit trails, data flow, and supply chain.
When an agent system fails, the final answer often hides the reason. Debugging production agents requires traces for tasks, tools, context, cost, retries, and evidence at every step.
A practical look at the protocol boundary of Codex App Server, the product and engineering scenarios it fits, and how it compares with Claude Code and Cursor in automation, cloud agents, and custom integrations.
A token and cost breakdown from one real long Codex session: why context is expensive, which conversations cost the most, how prompt caching helps, and practical ways to split sessions, compress logs, use files, and preserve stable rules.
A practical Q&A about Codex collaboration modes, GPT-5.3-Codex-Spark, statusline configuration, skills, slash commands, codex exec, and the Codex SDK.
A practical guide to combining Codex and Cursor: product boundaries, Codex IDE, Codex CLI, the Codex extension inside Cursor, Skills, Cursor Rules, session context, and a workable coexistence workflow.
Cursor's TypeScript SDK exposes the agent capability behind IDE, CLI, and Cloud Agents as a programmable interface. This article explains runtimes, hooks, MCP, examples, use cases, and a CI failure repair workflow.
A practical explanation of Hermes skills as procedural memory, how skill_manage edits SKILL.md files, and why progressive loading keeps skills usable without filling the model context.
A practical overview of Hermes Agent: installation notes, model setup, differences from OpenClaw, terminal versus dashboard workflows, channel support, migration, and common commands.
A grouped reading of OpenClaw v2026.3.22-beta.1 and v2026.3.22, covering ClawHub-first plugin installs, browser relay removal, image generation, plugin SDK migration, pluggable sandbox backends, model/search plugins, and gateway hardening.
A release-note reading of OpenClaw v2026.3.13-beta.1 and v2026.3.13-1, covering compaction, memory, browser automation, gateway RPC, control UI, channels, and security fixes.
A practical look at Cursor's position in 2026: it is not dead, but its main battlefield has changed. The useful question is not replacement, but whether Claude Code should become part of your workflow.
Instead of turning tool discussion into a succession story, this article separates what Cursor and Claude Code are each good at: IDE context, browser interaction, Auto mode, terminal workflows, and underestimated Cursor capabilities.
A reflection on using Cursor while working on www.zicode.com: writing posts, developing a WeChat draft sync script, reviewing agent history, polishing documentation, and extracting an open-source tool.