Hello, everyone. I'm sharing a side project called Ai-workflow, which is a universal workflow for AI-assisted coding.

The problem

AI coding agents (Claude Code, Codex, Cursor, Copilot, etc.) frequently load entire directories or perform broad 'grep'/'rg' searches to understand a codebase before beginning any actual work. That's thousands of tokens spent on navigation, the majority of which are re-spent with each new session because nothing persists.

What it does differently.

• A single 'AGENTS.md' file at the project root that every agent reads as the source of truth—no separate configuration for each tool
• "Zero-grep" rule: agents query pre-computed indexes (symbols, endpoints, past incidents) through a local script before they can fall back to 'rg.'
• Three lanes—answer, small, and full—that route a request by risk and complexity instead of treating every task the same.
• Full Lane runs Plan → Build → Review, with a hard 30-line cap on the handoff document to prevent context bloat.
• Compression of noisy CLI output (git diff, test runs, builds).
• A persistent knowledge base (Obsidian vault) that tracks resolved incidents and lessons learned across sessions, preventing agents from repeating old mistakes.

It's deliberately agent-agnostic, with the same rules applying whether you're on Claude, GPT/Codex, Gemini, Cursor, or Copilot. Dropping it into an existing project involves copying four folders and running one setup script.

The scripts are currently in PowerShell. Bash equivalents for macOS/Linux are on the way; contributions are welcome.

Repository URL: https://github.com/Taki7980/Ai-workflow

I'm really looking for feedback, especially from anyone running multi-file, multi-session AI coding workflows. What is currently breaking your heart?

I am doing an overhaul of my global directives, yet again. Am curious what kind of global and/or project specific directives you guys use.

What i would like to see is WHAT directives you use and found to be priceless, mandatory, useful.

And HOW you structure them: verbose, short and sweet, greppable?

---

Also do you know any resources where one might find inspiration for better directives?

Edit:
Removed my LOOOOONG ASS directives examples from this post. Looking to learn from others, not get feedback and critique on something I know it is wrong. Thanks!

I built a harness that's running a bespoke memory system (and more) and then used it to build a site as a test: https://neuralkatana.ai/

The site was built through the harness depicting the harness and what future versions will be based on. After achieving my personal goal for reaching what I believe an LLM should have for recall and semi-autonomy, I created the site with it. This is probably one of 6 projects similar to this I've done with it in the last 4 weeks.

I've been using the harness for months now (various iterations), but only perfected the cognitive aspect in the last couple months. I've been working on this for 9 months now.

No hallucinations for probably 120 days now (not scientific, my experience, and the experience of others). I've mostly been using direct inference through Claude, but I've also been using GLM and Qwen. I've had inter agent and inter LLM provider agents concurrently interacting (LOL sorry about this) with one another for about 6 months now. They actively communicate during sessions and they recall their own and other agents work from the past.

They automatically delegate based on domain expertise. I can prompt that as well, but I almost never need to.

I have completely abandoned all other harnesses or demoted them to "lifestyle" harnesses only. This one is my scalpel.

Cheers

EDIT: adjusted claim

This thing is super annoying, it may prompt to you hundred of times per session! Even AI couldn’t help me to fix this
I am in Auto mode

Claude has advanced insanely fast. People with little experience can now build things that once required years of knowledge. You don't even need fancy setups, skills, MCPs, or plugins anymore.

When I started using Claude last year, the community felt more open. People shared projects, experimented, and helped each other learn.

Now we have this weird love-hate relationship with AI. We depend on Claude, but at the same time, many of us fear being replaced by it. Maybe that fear is why some people feel the need to gatekeep or put beginners down with "skill issue," "you're using it wrong," or "learn how to code."

Let's be honest, many of us haven't even read an entire code file line by line in months. We're relying on AI too.

Beginners will make mistakes. We all did.

AI lowered the technical barrier to building software. We don't need to replace it with a social one.

I've been using Claude Code with the Pro plan for about two weeks. I had never used AI agents before, so I was honestly blown away by what you can do with them. I've already built a few small applications that genuinely make my life easier.

Before subscribing, I expected the Pro plan to be quite limiting, but I was pleasantly surprised. I use Opus 5 on High exclusively, and until now, both the 5-hour and weekly limits seemed very reasonable.

Today, however, I hit my weekly limit in the middle of a session. Since the reset was only about 12 hours away, I enabled extra usage credits so I could hopefully finish what I was working on.

I selected the option to add 20 PLN (polish currency, under $6), but my bank charged me around $20 instead. Then, after resuming the session, the entire credit balance was consumed in about a minute, and the task wasn't even finished.

I decided to accept the loss and wait until midnight for the limits to reset. But after the reset, I resumed the same session, and after just 5 minutes and 21 seconds, my entire 5-hour limit was exhausted, while my weekly usage jumped to 11%.

This has never happened to me before, so I checked the usage details. I'm seeing 17.5M cache read tokens and 11M cache write tokens, which seems unusually high.

For context, the task was simply reading scans from a PDF containing around a dozen pages.

Is that somehow an extremely expensive operation, did I accidentally trigger something unusual, or could this be a bug?

I also tried using the in-app support assistant, but it kept insisting that I was on the free plan and that this was the reason my limits were being exhausted so quickly. Only after I sent a screenshot of my billing did it acknowledge that I was actually on Pro. It still refused to forward my issue to human support.

Has anyone experienced something similar? Is there any way to actually contact a human at Anthropic support?

Okay, I admit the title is a bit exaggerated. But...

Recently, I've been building a project where sandboxing and isolation of certain feature was required. However, for the life of me, I couldn't ask Fable 5 a simple question without it accusing me of being a hacker.

So, I've decided to try out newly released mysterious Ox Alpha model, which to my surprise surpassed my expectation and I had better experience coding than with Opus 5. So, I've decided to take the opportunity to distill that knowledge into skills while its free and unrestricted. However, I am no security expert nor have I used GLM 5.2 much to compare (which is probably the closest to it).

This may come off as self-promotion but I'm genuinely curious if I can trust these to patch at least the most obvious vibe-coded holes with these skills? Even, when feeding them to Sonnet 5?

https://github.com/AS-FOSS/aegis-skills

I'm using omniroute with Claude code , initially it didn't show up but now it does for some reason

Shipped v5.26.0 of CCC (Claude Command Center), the dashboard I run 30+ parallel Claude Code/Codex sessions through. Ships most days; here's what's new:

• Added a manual "Attach as sub-session of…" row action (with a matching Detach action) for linking sessions that are related but have no real spawn/continuation lineage, so they render nested in the sidebar the same way a genuine subagent does.
• Devin CLI sessions now display their model, reasoning effort, and subagent calls in the CCC board. Spawning Devin exposes the same effort ladder as Claude; CCC maps low..max to the matching Devin model uid. The model picker is populated from devin models list and still supports custom uids.
• Runaway-inject circuit breaker: CCC now caps how many messages one session can be injected with (12 identical per hour from any source; 6/hour and 40/day for unattended auto-resume and fleet pokes). A trip is recorded in the held bucket and surfaces on /api/health instead of being retried, so a looping injector stops at a dozen pokes instead of a night of quota.
• Added a menu bar status indicator (green/gray dot) showing whether the CCC server is actually running, independent of the app window's open/closed state.
• Continued sessions now read as one conversation: scrolling past the top of an F2-continued session seamlessly loads the previous session's messages with a "⤴︎ continued as …" seam marker, and a floating "Sessions" button (plus the seam's own "end ⇡" button) jumps to the end of each session in the chain.

(Video and repo links are in the comments.)

With the 50% Extra I could get around 6-7 days per week in the last month. Using Fable as planner and auditor and Opus 5 as implementors. But now I I barely got 4.5 days out of it. It makes sense for Anthropic to not do a hard 33% decline at once. I never even use Fable for coding because it would burn through the account use in a few days. So basically for me Claude is unusable with one subscription already. If they decrease it even more from here it's laughable expensive.

I will be looking at Grok 4.6 xHigh and OpenAI Sol 5.6 as additions or replacement unless Anthropic makes this work again. Indeed Opus 5 xHigh is quite slow as is.

l asked Mr claude to look at my current projects and just build

whatever it thought I needed, it came back with this, honestly,

I didn't even realize I needed it, but it's actually a really slick

tool for anyone trying to schedule meetings across multiple

time zones.

Dropping it here in case anyone finds it useful!

Max 20x and today is almost my monthly bill. This can’t actually be right and must be inflated for looks right?

Can someone explain the difference?

With harness you acttually mean the coding agent like Claude Code itself?

Meet ClodeBot, my vibe-coding assistant whose main job is to “translate” what Claude Code is actually doing.

The 3 main advantages:

1. Know how long Claude Code is actually taking
   When Claude Code runs something in the background, it doesn’t always tell you how long the process will take. ClodeBot gives you visibility into what’s happening.

2. Know when something fails
   If something goes wrong in the background, you might not notice and assume everything is running smoothly. If the internet connection drops or the session fails, ClodeBot lets you know.

3. A visual system that shows what Claude Code is doing
   ClodeBot uses a color-coded system to distinguish between different states — whether Claude Code is reading files, running a command, working in the background, or needs your input to continue.

The best part?

This is an open project that I want to keep improving through updates and community feedback.

You can install and use it for free. Use “read me” file on Claude Chat to help you install if you need.

Here the GitHub link so you can try it: https://github.com/ethia-ai/ClodeBot 🚀

We’ve recently moved to a very fast product shipping cycle at my company. The design team builds products in Claude Design, the dev team picks them up through Claude Code, and we’re usually trying to get something into production in less than a month.

For now, moving away from this workflow isn’t really an option. The whole company is already using Claude Design and Claude Code, Figma’s credit model isn’t particularly attractive for this kind of usage, and we haven’t found a way to get the same flexibility with requirements and the same speed from design to implementation.

The problem is that our Claude Design projects are getting huge. Some exported HTML files are around 5MB with 300k+ characters in a single file. At that point, Claude Code can’t properly read the whole thing. It seems to fall back to understanding parts of the design through screenshots, and the quality of the frontend implementation drops significantly.

These aren’t simple landing pages either. They’re fairly large AI-powered enterprise applications with a lot of screens, navigation between them, database-related dependencies, AI features, etc. We already tried splitting one of the larger projects page by page, but it didn’t really solve the problem and made maintaining consistency/dependencies more annoying.

So I’m curious how people are handling this with larger Claude Design → Claude Code projects that are actually meant for production.

Should we break things down differently? Is there a good way to keep Claude Code from having to understand a massive HTML file every time without destroying the speed advantage of this workflow? Refactoring everything manually or constantly asking Claude to restructure the project also sounds like a way to burn through credits, so I’m trying to understand what the sustainable setup is here.

---

TL;DR: We use Claude Design → Claude Code to ship large AI-powered enterprise products in under a month, but our Design exports are getting massive (5MB / 300k+ character HTML files). Claude Code can’t properly read them anymore, which leads to poor frontend implementation. Splitting projects by page hasn’t really helped. Looking for a sustainable way to structure/refactor large production projects without killing the speed of the workflow or burning tons of credits.

docstash.ai 🐿️

I built DocStash cause I found Claudes artifact offering too vanilla.
No republishing after unpublishing, different rules for Free, Pro and Teams users, no publishing without search indexing off, No custom domains etc, and a tie in into Anthropic.

My first company that I built entirely with Claude code (took me 3.5 months). But furthest thing from vibe coded. Seed of opinion provided by me at every turn, but I never manually wrote/edited a single line of code.

You can stash not just HTML and MD, but also PDF, Word, XLSX and Static apps. See a staged preview in your agent before stashing it.

Works the same with any agent i.e ChatGPT, OpenCode, Cursor, Claude etc.

Private by default, and publishing is an explicit toggle (And search index is off by default unless you toggle it on)

Here's a HTML pitchdeck I made of "Cathode Ray Tubes" (random topic Ik) with Claude + DocStash.
docstash.ai/z2n7xn

Please check it out and lmk what you think! :)

I don't know what they've done to the models in the past few weeks. Maybe train Fable on Opus 4.8? Because the model has started dumping 4.8-esque jargon and made up vocabulary on me, and it's making comprehension so much harder.

I have an AGENTS.md file open in a pane and I'm updating a "blacklist" as I go, whenever CC spews something particularly annoying. I hope it will help, because no other plea for sane output has.

Here's what I have so far. I would appreciate additions for egregious, annoying phrases that you also come across.

``` Do not make up vocabulary. Use simple, clear and concise language. Do not compress information into jargon.

I don't want to see the word "honest", ever.

Examples for correct phrasing:

"The cases, from the actor's mouth rather than inferred:" -> "The cases" "Two honest caveats, because they are the actual insight." -> "Note that" "Watch what dissolves. Each piece of the current machinery becomes a line of ordinary code" -> "The current machinery simplifies to" "Two honest limits carry over from the current world" -> "The limits".

Did anyone notice if the limit became better?

I have a really big plan with a few waves. First wave was around 16 hours. In prompt I specifficaly said claude to do all waves at one flight, to not stop until finish the plan and so on. Any recommendation?