📰 Dev.to · Lars Winstand

I got OpenClaw running across phone, Mac, and Windows, then realized the real work was NetBird connectivity and recovery. For always-on agents, stable

Cheap LLMs are great for experiments. They become dangerous when they get wired into your CRM, sales ops, and automations without a portability layer.

A practical DEV post on building inbox automation the sane way: code handles mailbox sync, retries, rules, and state; LLMs handle only ambiguous decis

I tried using an AI agent to set up a fresh Windows PC and hit the same wall Reddit warned about: GUI agents are bad at deterministic installer work.

Telegram’s brief App Store removal triggered a panic in r/openclaw because Telegram is a real control channel for OpenClaw agents. The reporting sugge

Most "flaky" agent failures aren’t model failures at all. They happen in the first 30-60 seconds after boot, reconnect, or session reset because Postg

Fresh OpenClaw + Ollama failures often aren’t model failures at all. If direct `/v1/chat/completions` works but agent turns fail, the usual culprits a

A practical DEV post arguing that the first AI real estate automation worth building is a narrow 4-step pipeline: qualify inbound leads, enrich listin

Giving an AI agent Google Calendar access is easy in demo mode and surprisingly tricky in production. For self-hosted setups like OpenClaw, n8n, and c

A practical pattern for using OpenClaw with Kubernetes safely: give the agent read-only access to cluster state and logs, let it open PRs, and keep Ar

I assumed a home lab would be the cheapest way to run OpenClaw-style agents 24/7. After checking the docs, Reddit threads, and actual VRAM numbers, I

Prompt rules in AGENTS.md are useful, but they are not safeguards. This post argues that real agent safety comes from execution-time verification: cou

I assumed desktop copilots would be the natural home for agents. After looking at Android's scheduling, persistence, and logged-in app context, I thin

I read all 141 comments on the viral OpenClaw thread. My takeaway: OpenClaw is not dead, but production teams should stop trusting it blindly. Here’s

A practical DEV.to rewrite of a Reddit thread about Kimi K3: the easiest way to try it is Moonshot’s OpenAI-compatible API, not local inference. Inclu

Persistent AI agents fail in messy ways: partial tool execution, unclear state, and retries that can make things worse. This post breaks down why inte

A practical breakdown of why OpenClaw 2026.7.1 felt like an ops failure, what the Reddit thread revealed about compaction, rollbacks, WSL2, and orches

A farm irrigation build on OpenClaw made a useful design pattern click for me: the breakthrough was not the AI logic, it was using WhatsApp as the hum

OpenClaw’s most valuable content use case is not writing posts. It’s coordinating file-heavy, multi-channel content operations: formatting, publishing

A practical DEV.to-style take on why the Mac mini + OpenClaw money dream is backwards: the real opportunity is narrow recurring automation services, n

A niche r/openclaw thread turned into a useful debate about agent ops: when is setup friction a safety feature, and when is it just bad product design

A practical DEV.to-style post on using browser automation AI agents as verification layers instead of trusting dashboard summaries. Covers OpenClaw, M

A moderator apology on r/openclaw turned into a useful lesson for anyone running AI agents: support communities die when posting gets too clean, and a

A practical DEV post for automation engineers: markdown task lists look readable, but they are a terrible contract for agent workflows. This piece sho