Mindflow’s Post

Golem CLI update v1.0.4 1. Agent Orchestration & Compound Engineering - Added compound engineering loop with auto-review and auto-compound, Ralph iterative execution mode, REVIEW role 2. Dream Feature - Added feature for consolidating conversation patterns into memory, integrated into TUI. Technically auto dream can be done, but I would rather let the user decide whether to learn from complicated problems or not. 3. Subagent Improvements - Cancellation with graceful stop, progress tracking, model preservation 4. Context Management - Tool output pruning, overflow handling, stream timeout watchdog 5. ACP Integration - Agent Client Protocol stdio integration 6. Skills Library - Comprehensive skill library for GitHub, research, and software development 7. LSP Enhancements - Call hierarchy support https://golemcodes.com

Every automation I've built had one annoying dependency: the machine running it had to stay online. Cron jobs. A VPS to host the scheduler. Midnight checks to confirm it's still alive. Anthropic shipped routines for Claude Code yesterday. Scheduled tasks that run on their infrastructure. Not yours. Laptop can be off. Pro: 5 routines/day. Max: 15. Team and Enterprise: 25. Half the automation work is just keeping the automation alive. That's the problem this kills. Still a research preview. But the direction is obvious: Anthropic isn't building a better coding assistant. They're building the runtime.

Debugging automation used to take hours… Test failed in CI. Worked locally. No clear reason. I checked: Locator — correct Wait — correct Data — correct Still failing. Then I used SelectorHub to inspect the element. Found the issue in minutes: Locator was stable… but element state was changing. That’s when I realized: Right tools don’t just help… they save time. Tools that helped me: • SelectorHub — stable locators • Screenshot with URL — capture exact failure • Exploratory Tester — quick UI checks Here you can explore it’s free : https://selectorshub.com/ These reduced: • debugging time • flaky tests • effort A big thanks to Sanjay Kumar and SelectorsHub for building tools that genuinely make automation work easier. #SelectorHub #AutomationTesting #SDET #SoftwareTesting

Missing unit tests almost broke our company. In one of our early large machine projects, a lot of logic had been “tested.” But what that really meant was: the standard case looked fine in simulation. The edge cases were a different story. Once the project got more complex, strange behaviors started to appear. Nothing fully reproducible. Nothing obviously catastrophic. Just enough instability to destroy trust in the codebase. That was the dangerous part: we thought we had reliability, but we mostly had confidence without proof. Since then, we changed our approach completely. Today, most of our critical reusable logic sits in heavily tested libraries. And when a weird machine behavior appears, we can usually narrow down the cause in minutes instead of losing days searching everywhere. Unit tests do not just prevent bugs. They reduce fear. They speed up diagnosis. And they make complex engineering organisations scalable. Manual testing tells you that something worked once. Automated tests tell you whether it is still safe to trust. What changed your view on testing the most?

A confession from someone who builds automations for a living: Up until recently, I was only testing the happy path. Trigger fires. Action runs. Output lands where it should. Tick. Move on. But automation isn't fragile because the happy path breaks — it's fragile because everything else does. The API times out. The webhook payload arrives malformed. The trigger fires twice. The file's the wrong format. It runs at 2am and fails silently. I wasn't building for any of that. I was building for the demo. So from this build forward, edge case testing is part of the scope. Priced in, not bolted on. Failure modes get mapped, error handling gets built, and the system gets stress-tested before handover — not after the client emails me at 7pm on a Tuesday because something didn't fire. The bit that's humbling: this should've been standard from day one. Sometimes the upgrade isn't a new tool. It's just doing the basics properly.

Most teams are still guessing what they can automate with Claude Code. The hard work is moving from “can it build?” to “does it save a headcount, a day, a process?” That’s rarely shown in public. This room is for Claude builders showing what survives contact with production. No slides. Just workflows, and the truth of where this tool is actually replacing manual ops. It is rare to be around peers who are this deep into shipping with Claude. Small group, strong signals. Expecting the off-record conversations to be at the edge. details here: https://lnkd.in/g9fCctSj

Most teams are still guessing what they can automate with Claude Code. The hard work is moving from “can it build?” to “does it save a headcount, a day, a process?” That’s rarely shown in public. This room is for Claude builders showing what survives contact with production. No slides. Just workflows, and the truth of where this tool is actually replacing manual ops. It is rare to be around peers who are this deep into shipping with Claude. Small group, strong signals. Expecting the off-record conversations to be at the edge. details here: https://lnkd.in/g9fCctSj

AI-powered debugging just crossed a threshold. When bots fix 80% of bugs without human intervention, the question isn't whether automation works—it's whether your team is still manually triaging them. https://lnkd.in/e_EQitMp

Still using Claude Code like a basic assistant? You’re leaving 90% of its power on the table. Here’s a complete Claude Code workflow cheatsheet Setup → install, scan repo, auto memory CLAUDE.md → project brain (context + rules) File structure → skills, agents, commands Skills → reusable workflows (auto-invoked) Hooks → automate tests, checks, actions Permissions → control what Claude can access Real power = combining all of this → Plan → Execute → Verify → Repeat This is how devs turn Claude into a self-operating engineering system Not prompting. Not chatting. But actual workflow automation. Credit: sjsandeep_jain on Twitter/X

When Claude Code replies once in Discord and then goes silent, the obvious channel checks can waste hours. The real problem is usually session lifecycle and wake behavior. We documented the production failure pattern, the checks that matter first, and the fix path that stabilized follow-up replies. https://lnkd.in/eD2ZxYFa