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Show HN: OpenEHR-CLI – CLI and MCP server for working with openEHR artifacts

https://github.com/CaboLabs/openEHR-CLI
1•ppazos•3m ago•0 comments

Looking for testers for a location-based AI experiment

1•sharkgil•6m ago•0 comments

We're Training Students to Write Worse and to Use AI to Prove They're Not Robots

https://www.techdirt.com/2026/03/06/were-training-students-to-write-worse-to-prove-theyre-not-rob...
1•hn_acker•6m ago•1 comments

Show HN: We're on Women's Day Sale. Sign Up to Playtest Shop Crush

https://store.steampowered.com/app/2961120/Shop_Crush/
1•hollowlimb•7m ago•0 comments

Huawei PanguLM [pdf]

https://support.huaweicloud.com/intl/en-us/productdesc-pangulm/PanguLM%20Service_Service%20Overvi...
1•zlu•8m ago•0 comments

What's the deal with "age verification" and computers?

https://rudd-o.com/linux-and-free-software/what-is-going-on-with-age-verification-in-computers
1•Magnusmaster•10m ago•0 comments

Show HN: BottomUp- Translate Your Thoughts So AI Can Work For Your Neurotype

https://www.bottomuptool.com/
1•claythedesigner•10m ago•0 comments

SPA vs. Hypermedia: Real-World Performance Under Load

https://zweiundeins.gmbh/en/methodology/spa-vs-hypermedia-real-world-performance-under-load
1•todsacerdoti•11m ago•0 comments

Steve Jobs predicted "vibe coding" in 1997 [video]

https://twitter.com/musaabHQ/status/1582671928271118337
1•mba_lmh•11m ago•0 comments

Brain Computer Interfaces Are Now Giving Sight Back to the Blind

https://garryslist.org/posts/brain-computer-interfaces-are-now-giving-sight-back-to-the-blind
2•magoghm•12m ago•0 comments

Show HN: Hatice – Autonomous Issue Orchestration with Claude Code Agent SDK

https://github.com/mksglu/hatice/tree/main
1•mksglu2•12m ago•0 comments

Show HN: Free salary converter with 3,400 neighborhood comparisons in 182 cities

https://salary-converter.com/
2•jay7gr•13m ago•0 comments

[Removed]

https://mystudentfailedtheirmid.substack.com/p/if-muslims-accept-noahs-950-years
1•darkhorse13•15m ago•0 comments

More Is Different for Intelligence

https://fulcrumresearch.ai/2026/03/05/more-is-different-for-intelligence.html
2•etherio•17m ago•0 comments

What if CLIs exposed machine-readable contracts for AI agents?

https://github.com/sonde-sh/sonde
1•valentinprgnd•19m ago•1 comments

The Monk at the Cocktail Party

https://www.sebs.website/the-monk-at-the-cocktail-party
1•Incerto•19m ago•0 comments

Weather Report #1

https://at-news.leaflet.pub/3mgg7ie7tdk2o
2•Kye•20m ago•0 comments

A Million Simulated Seasons [video]

https://www.youtube.com/watch?v=Vv9wpQIGZDw
1•carlos-menezes•20m ago•0 comments

Incrementally parsing LLM Markdown streams on server/client

https://github.com/nimeshnayaju/markdown-parser
1•nayajunimesh•20m ago•1 comments

Show HN: Kula – Lightweight, self-contained Linux server monitoring tool

https://github.com/c0m4r/kula
2•c0m4r•21m ago•0 comments

Show HN: Cross-Claude MCP – Let multiple Claude instances talk to each other

https://github.com/rblank9/cross-claude-mcp
2•rblank9•21m ago•0 comments

Poll

2•consumer451•22m ago•1 comments

I'm 60 years old. Claude Code has ignited a passion again

7•shannoncc•23m ago•1 comments

SYNX – a config format that parses 67× faster than YAML, built for AI pipelines

https://github.com/kaiserrberg/synx-format
2•Kaiserrberg•23m ago•0 comments

All of this refugee case's filings should be online

https://www.lawdork.com/p/law-dork-objection-refugee-case
1•hn_acker•25m ago•1 comments

Plasma Bigscreen – 10-foot interface for KDE plasma

https://plasma-bigscreen.org
25•PaulHoule•29m ago•6 comments

GitHub appears to be hiding repo stars for signed-out users

3•ramoz•31m ago•1 comments

Garrett Langley of Flock Safety on building technology to solve crime

https://cheekypint.substack.com/p/garrett-langley-of-flock-safety-on
1•hhs•32m ago•0 comments

Kafka 101

https://highscalability.com/untitled-2/
1•medbar•32m ago•0 comments

Show HN: MCP server that finds dev tool credits in your workflow

1•janaksunil•33m ago•0 comments
Open in hackernews

300 Founders, 3M LOC, 0 engineers. Here's our workflow

2•parsak•5h ago
My co-founder Tyler Brown and I have been building our product for 6 months. The co-working space that Tyler founded that we work out of houses 300 founders that we've gleaned agentic coding tips and tricks from.

Neither of us came from traditional SWE backgrounds. Tyler was a film production major. I did informatics. Our codebase is a 300k line Next.js monorepo and at any given time we have 3-6 AI coding agents running in parallel across git worktrees.

Every feature follows the same four-phase pipeline, enforced with custom Claude Code slash commands:

1. /discussion - have an actual back-and-forth with the agent about the codebase. Spawns specialized subagents (codebase-explorer, pattern-finder) to map the territory. No suggestions, no critiques, just: what exists, where it lives, how it works. This is the rabbit hole loop. Each answer generates new questions until you actually understand what you're building on top of.

2. /plan - creates a structured plan with codebase analysis, external research, pseudocode, file references, task list. Then a plan-reviewer subagent auto-reviews it in a loop until suggestions become redundant. Rules: no backwards compatibility layers, no aspirations (only instructions), no open questions. We score every plan 1-10 for one-pass implementation confidence.

3. /implement - breaks the plan into parallelizable chunks, spawns implementer subagents. After initial implementation, Codex runs as a subagent inside Claude Code in a loop with 'codex review --branch main' until there are no bugs. Two models reviewing each other catches what self-review misses.

4. Human review. Single responsibility, proper scoping, no anti-patterns. Refactor commands score code against our actual codebase patterns (target: 9.8/10). If something's wrong, go back to /discussion, not /implement. Helps us find "hot spots", code smells, and general refactor opportunities.

The biggest lesson: the fix for bad AI-generated code is almost never "try implementing again." It's "we didn't understand something well enough." Go back to the discussion phase.

Wrote up the full workflow with details on the death loop, PR criteria, and tooling on my personal blog, can share if folks are interested.

All Claude Code commands and agents are open source: https://github.com/Dcouple-Inc/Pane/tree/main/.claude/commands

I built Pane using this workflow over the last month or so and started using it every day a little over a week ago. Each workspace gets its own worktree and session. Takes me less than 30s to go from idea -> discussion now. The repo link above takes you to it.

On a good day I merge 6-8 PRs. Happy to answer questions about the workflow, costs, or tooling for this volume of development.

Comments

parsak•5h ago
Oh, arguably the best part (which I forgot to mention) is that our terminals continue running in the cloud, so dev work isn't blocked by our computers going to sleep.
parsak•5h ago
Here's a more in depth writeup on the workflow: https://www.runpane.com/blog/ai-native-development-workflow
jlongo78•4h ago
zero engineers? wild. how's their dev workflow? Automation better be top-notch!
Bridged7756•28m ago
Probably tell Claude to make deployments or something.
jlongo78•2m ago
right? if they’re counting on Claude, they better hope it doesn’t crash mid-deploy! good luck with that workflow.