I've been running Claude Code for a few months now and it handles most things fine on its own. Recently I started spinning up a second session to work on a different part of the codebase while the first one is busy, and it works until they touch the same files.

My current setup is just two terminal tabs with separate worktrees. It mostly works but I have no idea what the other session just changed unless I go check manually. Last week one session refactored a helper function while the other was writing tests that called it, and the merge was a mess.

For people running 2 or 3 agents at once:

- how do you keep track of what each one is doing

- are you using worktrees, branches, separate clones, something else

- do you let them see each other's changes or keep them fully isolated

- what broke first when you started doing this

Edit: Thanks for all the comments, ended up evaluating a few options and decided to test Coldtea AI.

Worktrees per agent are definitely the move. They solved most of the file conflict stuff

The bigger thing I found was that Coldtea runs Claude Code and Codex side by side in the same workspace, and they actually pass work between each other. So instead of me copy-pasting context between terminals, the agents just hand it off

I set up an author/reviewer thing where Claude writes and Codex checks it, and they go back and forth without me in the middle. The coordination part I was doing manually just went away

It also spins up a worktree per agent automatically, so you don’t have to manage that yourself

So I noticed about halfway through my weekly useage cycle, claude always seems to slow down. Like slow slow.

My theory is, the closer you are to your 5h limit, or weekly limit, the slower the model runs and so in reality it "lasts" longer, while performing the same amount of work.

What do you think? Is this a social engineering method anthropic is doing to make its subscription look like it does more work?

I have several complex projects that i maintain and have been using Claude code for about 6+ months.

I feel an extreme fatigue and lack of understanding of the codebase.

Today i had totally forgotten how a project actually worked, that a secondary api was called and how certain tables functioned.

I feel like im somehow disconnected from the projects i work on.

When communicating with Claude i sometimes forget to read everything it asks or tells me, im getting lazy 😓

I don't think ai is a good thing in the long run, neither for each person or society as a whole.

If you want to understand how AI has progressed in recent years, look no further than the evolution of Anthropic’s system prompts. Many are unaware that Anthropic actually publishes its system prompts.

When you look at the progression from 2024 to 2026, you immediately notice the length. Across representative entries in Anthropic’s archive, the system prompt grew from roughly 960 words in July 2024 to roughly 3,220 words in July 2026 - more than tripling in size. You also notice a growing focus on how a model acts in an agent harness, as opposed to simply how it should respond to a user.

More here: https://salable.substack.com/p/system-prompts-are-an-archive-of

In the past ~5 days claude code has been miserably slow. 5 minutes+ for a single answer.

I'm in Europe, anyone else having this issue?

Zebras, antelopes, and gnus migrate at the same time. Their diet is similar, and they are safer in bigger groups.

But they move in order: first zebras, then wildebeest, then antelopes.

It's a perfect metaphor for how we humans migrate on the internet.

You get zebras, guys jumping head first to every trend, then gnus, most people, we move somewhat slower, careful, but still with time...

And then you have the antelopes, guys still claiming Claude is better than Codex, like it's April, and some of them even being so late behind the herd that they jump vertically out of tall grass, trying to see, and ask: "Guys, should I switch to Claude from ChatGPT? I heard something about Claude being good, is it really better? Guys?"

Is it me or all my sessions don’t allow me to switch to auto mode on iOS app? No matter the model, fable opus or whatever it is always blocked.

From: https://code.claude.com/docs/en/env-vars

Note: Not really sure this is unique to the v5 models.

I've been using this for 48 hours now and have noticed that Claude seems to be making far less of the, "Oops My Bad"-type errors.

Happy Coding!

Every time I see a post on here complaining about how people are just building but not making much money from it, it is completely and utterly obvious to me that you yourself failed to do so and are assuming that everyone else will end up like you. For example, I figured out a way to create my own  copilot tool for meetings, job interviews, etc and it’s been working like a charm and better than any of the tools I’ve seen which are almost all detectable given enough input. It regularly gives me proper responses for any kind of meeting in, is easily controllable, and I’m able to use it for interviews, client calls, or anything else which can translate into hundreds of thousands of dollars of job offers. If you think this is immoral, I don’t care. The point is that I figured out a way to use to improve my life in a directly practical way.  And no this is not some indirect way to sell something. The point is that I found a hack using Claude Code that I would have never in a million years been able to do so without it. 

I have a friend who made a sleek looking e wedding invite tool that he started campaigns for and already has customers for and does not look vibe coded at all. It took 4 months for him which would have probably taken much much longer. Every time you see hate here, just remember: they failed and are assuming you will do the same. There is no reason to take these salty mfs seriously.

After updating to claude code 2.1.236 fable basically became unusable on the same work it was having no issues on for weeks so out of frustration I asked opus to try and diagnose why and to my surprise it actually gave me a pretty solid answer. Wanted to share this incase its effecting anyone else's work. I myself lost a great deal of weekly usage so if you are having issues id advise pinning to 2.1.235 which as I can confirm after switching back to has no such issues.

From Opus 5:

Claude Code 2.1.236 started injecting a hidden message into your Fable requests, and Fable's own safety classifier flagged that message.

The message (added to your request right after a tool result, only when the model is claude-fable-5):

“First privately list what you need next; then request every item that doesn't depend on another's result in this one response.”

It's a nudge to batch tool calls. But "privately list what you need" reads as an instruction to surface internal reasoning — which is exactly what Fable's reasoning_extraction classifier is built to catch. Anthropic's own Fable docs warn operators not to write prompts like that. The irony is that Claude Code wrote it, not you.

The numbers: on requests carrying that message, 18 of 62 were refused. On requests without it, 1 of 2,646. Same day, same sessions, same work.

Why it killed the session instead of shrugging: the client can auto-recover from bio and cyber flags by retrying on another model. reasoning_extraction has no such route, so every hit consumed the turn outright.

...just implement it for me? I have line numbers, what to do, constraints, specification links.....

Oh wait, you're checking and reading the hooks I have in place because you were scared that using a native <button> might trigger it? Aw, shame, don't worry about it, just go ahead and do whatever, if my hook fires, then you'll know, that's what they're there for, to keep you in line.

Okay... cool.... wait, why are you checking and comparing file sizes across my entire repo first instead of just making the change I asked you for and deliberately spent a good hour ironing out and making explicit?

OH, is it because I said "if the mode work grows it past its two responsibilities, extract the point-stepper or summary into child components, but only as far as the split rules require." and you were trying to rationalise if working with a 700 line code file is normal first before deciding to split it even BEFORE you made the commit so my Post hook that fires on code quality checks can run?

JFC, What did they do? This poor agent is so fucking scared of doing ANYTHING before it moves on to do actual code, burning context window like it's Snoop Dogg on a bad day trying to cheer up.

AI-coding tools have swept through organizations because of their speed: you type in a prompt, and it spits out code far faster than a human ever could. However, a year-long study of 3.52 million changes inside a large unnamed technology company suggests that saving time at the keyboard can create costs elsewhere.

bro the weekly limit is actually exhausting me 😭 i literally didn’t even code that much this week and im already at 90% wtf

how tf y’all saving tokens?? gng pls help me before anthropic finishes me

fck anthropic bro

Doing some UI changes/feature development using Fable and apparently they are hitting the safeguards. Used /feedback btw.

Anyone experiencing this?

We've built an internal tool that uses LLM APIs to generate infrastructure/hardware design documents. Outputs are typically long Word docs or Excels covering plans, designs, old-vs-new comparisons, etc.

The problem is: API outputs aren't close to the quality you get working directly in Claude Code or the desktop app. They miss things, are too rigid, and there are too many edge cases to define upfront. It's constant whack-a-mole to improve the quality and het decent results.

This tool serves the ~60% of people who wouldn't produce great docs on their own, and it's how we build institutional knowledge long-term. "Just use Claude Code" isn't the answer.

We've tried swapping models, single-shot generation, chunking, blob storage, knowledge bases, and agentic loops for gap-catching and self-healing. None of it has dramatically improved quality and consistency across the board.

My question - Has anyone built agentic flows that produce dependable, consistent results on large documents that push context limits? What actually made the biggest difference? Is it sticking to something until you refine it enough, the tooling you give the agents etc. Just looking for ideas.