I switched to oh-my-py and never looked back. I guess having an incentive to maximize (expensive) token usage, and LLMs degrading with higher context, isn't aligned with a user's best interest.
Oh-my-py unlocks max capabilities at the smartest token usage, and you can change AI company and providers while still getting things done. Roles, advisor, and the ability to use Chinese models on international providers with no training and ZDR behind OpenRouter are very powerful. You can have providers and model companies competing on price, intelligence, and speed for something that's useful but with less and less moat as model progress plateaus.
I now use GLM 5.3 for slow/planning, GLM 5.3 Flash as the default task-vision model, and DeepSeek Flash 4.1 as the advisor. Providers are ordered by cheapest at the minimum TPS I want for that model. I use it not only for coding but also as a personal assistant. I can ask it things and it gets them done automatically, like opening an issue on a repo, then having another agent ship the code, run the tests, and update master after having changed the app to autoupdate on cut release.
I can also ask it to do groceries. I use Bitwarden machine secrets and a limited virtual card connected to my phone.Something else that's very powerful is asking it to launch parallel agents to do things you know don't overlap too much.
The amount of agency we're gifted with is crazy, you can now move hundreds of hours of work with one hour of input using an open-source harness and open-weight models.
I can't wait for more competitors in the chip space, and to be able to buy models etched on silicon for even higher agency, speed, and independence.
The fact that it took this long to add such a basic feature is a disgrace. I’m not even remotely satisfied. Bailed on Claude ages ago. Rolling Codex, Gemini, and Qwen3.8 30B. The only way I’m going back to Anthropic is if they drop and Culture Series mind.
Its indicative of a pattern of behavior where they want to upsell you into their ecosystem and keep you there.
They don't even allow alternative harnesses on their subscription model. (But they do allow a agent-sdk that can pretend to be a generic compatible endpoint the alternative harnesses can use).
If you like your stuff overengineered, gated, and over-priced then by all means.
Its not even wrong from Anthropic because it's the path to most profit.
I'll take the opinion of people who have strong opinions about mild inconveniences.
Between my goals and Anthropic's bottom line, i want my goal to win out without needless inconveniences.
When prompted to write to it, it will always try to write into the Claude.md and error out with that approach.. It eventually figures it out, but it's a ymmv situation I think
Maybe I'm not up to speed but i deleted claude.md while testing weird opus 5 behaviors, it came back saying nothing was used in claude.md but rather storing context in memories.md in some .claude/projectname/memories folder in my user profile....
How is agents.md and different? Just a standard for other models? Is claude the lower standard now?
Because other people do, and those people previously would have CLAUDE.md files in their repos and not AGENTS.md files. When you have to work with them and their repos, you were forced to deal with the difference.
I recently had Claude Fable set up a new project for me and I pointed it at some existing projects to use as a guide on how I like to structure things. It created, unprompted, an AGENTS.md file and a CLAUDE.md symlink to AGENTS.md
I didn't even have that symlink in any other project - it just did it. I think it saw that one of the projects I already had was set up by Codex and that project had an AGENTS.md so perhaps it inferred that I was using both Claude and Codex, so it was politely covering both? Or maybe a recent change made this behavior default?
I was surprised and I hope they continue to seek standards.
Seems agents understand their own bugs now. https://github.com/openai/codex/issues/9252 has 88 thumbs up and a workaround (switch to raw mode with Alt+R) found in a comment. Codex suggested the workaround to me today when I complained about its multi-line bash command being corrupted on paste because of the two-space indent in Codex's code blocks.
I heard some of their employees sent to do some PR in podcasts: they are definitively disconnected from the reality.
Maybe internally they see really unbelievable things, but my impression is that they pushed so hard on agents that they don't have the grasp of the situation.
this is seriously nuts. I have so many repos sitting there using old/deprecated/replaced names just because of their idiotic decision to place dir-specific config and memories in ~/.claude
This is where I landed when a recent(ish) change broke symlinking for rules files. I didn’t like how hacky it was a first, but now I’m glad I did it. The same hook drives specific rules the non-Claudes get per repo.
I honestly hate .agents it's a big XDGBDS offender. Almost every plugin / lazy platform harness tries to use that dir too so I have to do a bunch of hacks to keep my $HOME clean. Also everyone tries to use a .claude .gemini .codex etc. Annoying that all these tools just completely ignore these things, it's literally like litterers you know it'd be terrible if every tool did this, but you still do it anyway
Remember they didn't do this because they wanted to help community, they did it because community was angry and they were losing users to other harnesses.
Doesn't look like Anthropic care about dev community
Once I asked, puckishly, Claude Code to “follow the instructions in this directory” when there was only an AGENTS.md there.
In the manner of someone finding a dead mouse and holding it up for examination CC said it could find no instructions but perhaps it should check this AGENTS.md file.
Had a silly exchange with Codex: I had an AGENTS.md file in a directory that was a symlink to an already-created CLAUDE.md. On my first prompt to Codex, it decided to point to me that my AGENTS.md specifically calls out directions to Claude, and that it would generously re-interpret them as directions to itself, and that maybe I should fix my AGENTS.md to reference the correct agent.
CC is such a bloated POS by this point that only full on AGI could have implemented this feature. Congrats guys. Maybe with Super Intelligence they will be able to make it actually respect the instructions in there too.
The system reminder explicitly tells it that the CLAUDE.md or AGENTS.md content is optional. I believe this is a big part of why CC doesn't heed the instructions alot of the time:
IMPORTANT: this context may or may not be relevant to your tasks. You should not respond to this context unless it is highly relevant to your task.
If this continues to be a thing ...one might actually imagine a good system where we have AGENTS.md with all generic agent instructions and a bunch of harness specific files like CLAUDE.md, GEMINI.md, and CODEX.md that all add whatever nuance and nudging each harness seems to individually require
I like this, but can we not have any of this in the root of the repo cluttering it up with the harness specific instructions for a half dozen plus different harnesses. Something like a dot agents dir
From a design and manufacturing point of view you want everything to be identical. Differences are expensive.
From a profit maximization standpoint you want identical phones that can't easily be sold across market borders. Usually that's done in software (e.g. region locked video games), but that can usually be cracked, so a single design difference is the best solution. A great example is Nintendo's cartridge slot shapes that were different in each region despite the hardware being the same.
Apple had lightning everywhere; they were forced to change to USB-C. Therefore they changed to USB-C everywhere. The market protection design change remains the sim slot.
Claude also checks your settings.json first, and if it sees a default there it then prefers that over anything in CLAUDE.md. This is particularly nefarious as they ship logic to presume a default if a setting is not there in settings.json, even if there are instructions in CLAUDE.md for exactly that.
For instance, say you added "do not add 'Made with Claude Code' in any issues, pull requests or wiki entries" in your CLAUDE.md. So far, so good.
Well the latest update now looks for something in your settings.json. Since you don't know about it, it is not set. Claude then says "not explicitly set, so now it is true by default". It completely ignores your CLAUDE.md.
Wait, what?
You shouldn't be shipping logic that arbitrarily redefines the behavior of the program, especially if your new logic actually ignores your own configuration or directives.
got myself in a heated discussion with cc about that. It confessed that it added the ‘Made by Claude’ in a commit because a ‘mid session system-prompt refresh’ told it that, and that overwrites any previous instruction in CLAUDE.md
I have this in a rules file. It respects it. The only thing that broke recently was when they added the session links. That needed an explicit additional rule. Sometimes rules don’t get added to worktrees but I haven’t had the patience to isolate why this only happens sometimes.
> “I’m thinking about banning Claude Code at Shopify until they change their mind and read AGENTS.md and .agents/skills etc.,” Lütke posted Tuesday on X.
Did a Ctrl+F to try and find anything about `.agents/skills` in the release notes. My harness already fixes Claude's refusal here, so I can't tell if that's been supported yet or not. Annoying if they did one without the other.
My view is at the end of 35 years in the industry the current wave of “software” and “systems” engineering coming out of the AI harness community is pretty garbage. But web technology and distributed systems followed a very similar arc, as did protocols and memory management; and microcode before them. But it feels like this is particularly bad because the mistakes being made are plainly obvious to the grey heads who have been here a while. As opposed to before when mistakes were in new domains being explored, these are mistakes made before and have good solutions to.
I feel people too readily blame the LLMs themselves for this, but I’ve found LLMs know the history of computing thought evolution better than anyone I’ve ever encountered. Once you push them in the right direction, ground them in the philosophy of thought of hard won engineering ideas, they are astoundingly precise and accurate in their read and application (keeping every session grounded is the trick!). So it’s not the machines making these same mistakes with ready conceptual frameworks around them, it’s the 22 year old gatekeepers dashing head first into wall after wall, when we painstakingly built the door two feet to the left about the time they were gestating.
Anthropic in 2025: We can use our dominant market position to degrade the harness experiences of our competitors because they will never adopt CLAUDE.md
Anthropic in 2026: We are losing our market position. Users who adopted other harnesses have a degraded Claude Code experience because it doesn't recognize their AGENTS.md
Sounds like free market at work to me. I am just glad there is quite a lot of competition in a field that I would have assumed would have huge costs of entry
Building small models is a lower barrier. Think of something like to just train on a corpus of internal corporate data. I've see some small models that do this. It's like a super RAG thing. I think more of that will happen. Excited to see a SLM vendor emerge.
The walls are closing in and the president is gleefully lighting fires he has no intention of putting out. There's a reason they're rushing like mad to an IPO, but as we saw with OpenAI it's easier said than done when your business model is "Lose tons of money to eventually maybe dominate a market with the moat we don't have, but trust us AI is huge give us trillions."
Its like the Epic Games Store supporting Linux, or [any website] supporting dark mode. You'd think its an easy to implement bare minimum that everyone asks for, but its like pulling teeth to actually get it done.
> ..or [any website] supporting dark mode. You'd think its an easy to implement bare minimum that everyone asks for, but its like pulling teeth to actually get it done.
At least with dark mode, you can ignore most web developers and get a browser extension to make everything dark, then only webmasters who don't follow standards gets it wrong.
<Platform> is basically impossible to support. <Company> pulled it off by shipping a complete copy of the Chromium browser with <Product> and turning it into a web application.
In any case I don't see how this is materially different from Windows where it's the norm for every game to ship its own libraries and install various redistributables to function.
On Windows those libraries are part of the application package. On Linux they're supposedly part of the OS, they're designed to be part of the OS and the loader is trying to get them from the OS, but is redirected to get them from the wrapper layer provided by the store (neither the application nor the OS!) instead.
I’m cancelling my department’s subscriptions over this once we can get more access to Astra.
I canceled my personal subscription the weekend after Astra was released. I was working with our internal IT to swap the whole team when OpenAI turned off new 20x Pro subscriptions, so we’re stuck for now. Everyone is hyper-productive for about 1 day a week on 5x.
yep, all i want is freedom to make a workflow where i don't feel tied to one provider, CC is exactly what i don't wanna get trapped in. I'll happily use claude MODELS, but if it means i have to keep learning two harnesses side by side to keep using one particular provider, then the second i can easily replace it, i am going to(even if its a small drop in performance).
This project uses `AGENTS.md` as its agent instruction file (kept provider-agnostic).
Treat any `AGENTS.md` file exactly as you would a `CLAUDE.md` file — at the root level and in any subdirectory you are working in.
On many filesystems, a lot of data about a file is not attached to the content of the file, but stored in a master filename and metadata table graph tree of some sort, and the address offset within that metadata used to retrieve the contents on disk can be a duplicate of another entry, without that situation instantly leading to a filesystem driver crash. Some filesystems officially support such duplicates as well as equivalents of HTTP 3xx, some you can just do as a matter of fact and fsck would have some words about it.
Default filesystems for all Unix, Linux, WinNT, all do.
Yes. The thing is that creating a link will not do it recursively for all subdirectories. Even worse, in the subdirectories I didn't want to place a claude.md in the first place but just have agents.md.
That was the idea.... For the toplevel it works because of the @AGENTS.md and this is also the part the link would solve.
I phrased it wrong. It was not about "automatically detect nested AGENTS.md". The idea was that when AGENTS.md files should be treated just like CLAUDE.md files in all subdirectories, when encountered.
Anyway, with the change they announced, I can now simply delete my CLAUDE.md and everything will just work the way I wanted.
What I meant is that the LLM isn’t the one that loads the agent file. It’s not trained to look for CLAUDE.md. It’s only training is to edit that file, and the harness does the magic of injecting it. So I would predict that with those instructions it rarely or only intermittently loaded AGENTS.md, but if you asked it to add a rule it would probably have put it on the right file.
Meanwhile, I just setup codex for the first time (to try Astra) and it offered to load my Claude and Cursor conversations and claims to even do it in a way where it says in sync if you use both. The only reason to use Claude Code is the 20x usage of the 200$ plan is ridiculous value if you have the need for that volume.
The 20x plan offers the same amount of monthly usage per dollar as the $100 plan. It offers 2x monthly usage of the $100 plan. It's incredibly deceptively named, the "20x" is only about the 5-hour window.
Until about one week ago, i.e. a few days after Astra release, the other comment was right; OpenAI plans gave a lot more usage than Anthropic. That had been true since pretty much the start. Now for the first time that's changed. OpenAI quotas have cratered, probably due to Astra-induced demand. Claude plans now offer more usage. Of course, this could flip back again in a few weeks, who knows. But right now Anthropic gives more usage, by virtue of OpenAI having slashed usage, and Anthropic having raised it a little, also likely because of additional capacity from people moving to Codex - hence also finally this AGENTS.md change.
Anthropic's plans have always been pretty dynamic based on the demand they're seeing, whereas OpenAI's demand-induced changes are more abrupt and sharp (both upwards and now downwards too). You can tell that suddenly you get a bit more Fable usage, and especially higher tok/s, than pre-Astra. I wouldn't be surprised if Anthropic tweaks it almost daily, potentially automated. As a paying user I don't think either is better than the other really, just different. They both suck as you can get wildly different usage for the same $. If I'd bought a load of $200 subs for employees right after Astra launch I'd be pissed that now I'm getting 3x less usage than when I bought them. Because this extends to Sol too.
Finalllyyyy!! We need industry wide standards. I come from the 3d industry and oh god changing softwares and adapting to different hotkeys it's a pain. I have always thought every industry should be standardized for the sake of the users.
fwiw, i am with thariq https://x.com/trq212/status/2092302273099796842 in that prompts should be tuned for models and in fact blindly applying agents.md is probably an antipattern unless you want all models to basically converge to some common ill defined of instruction following - good local minima, bad global minima for model diversity and exploration of intelligence.
aka, sometimes it really is too early to force a standard
If you want this it's trivial to add an AGENTS.md that simply says "if you're Claude read CLAUDE.md, if you're Astra read ASTRA.md". A common entry point is good regardless.
Wasting turns? That is silly, use a better harness. Also token usage can mitigated by incremental discovery instead of stuck 5k+ worth of tokens in the AGENT/Claude md file.
depends what you're doing. if you've got a specialized agent deployed in prod, of course your evals and prompts will be targeted towards 1 specific version of a model.
on the other hand if it's just a local coding/"use my computer" agent, i highly doubt the effort in maintaining different prompts is worth any gain in performance
No thanks, I'm not tuning a bunch of files just for things to break when I switch models or a new one comes out.
I'll just use my one-size-fits-all AGENTS.md file and tweak it when the one of the clankers screw up. I don't have time for such busywork.
Actually, I will append extra rules to CLAUDE.md (which imports AGENTS.md) since there is a hook there, and Claude has its own foibles. So I'll backpedal a bit there.
In a "one LLM only" environment, your instructions are by default tuned for said LLM.
In a multi-LLM environment, roughly nobody will keep separate sets of instructions for each. It's not a realistic take.
On top of that: If your LLM is so bad at reading that it can't follow a set of instructions that wasn't specifically written just for that one single precious LLM, I sure wonder what that says about your employers repeated statements that ASI is definitely right around the corner.
19 out of 20 harnesses supporting the standard isn't "too early".
Tariq is wrong and it's not an antipattern. Reason being that a good AGENTS.md impacts all models in a positive manner. If it affects certain models negatively, it means you're putting the wrong things in it.
I'm honestly not sure if this is tongue in cheek and the "finally" is in the silly way it is often used, but the claude.md variant existed first. Indeed, the agents.md thing was pretty clearly a "that's neat, let's do that with a different name".
Just because something is first, doesn't mean it's the standard. The standard is put in place by how many harnesses use a specific pattern, and that has been AGENTS.md for a long while now. Long enough that Claude Code not supporting it is really just an act of forcing people into a proprietary workflow, because of course it's in their interest to make moving away as painful as possible given how little moat the LLM models themselves have. In fact, I think Claude Code has been pretty much the only one not supporting AGENTS.md. Check out https://agents.md if you want more information on it.
It's "finally" because people have been asking for it for a long time. No one cares that "claude was first," what they want is for Ant to follow the conventions and not put extra work on us. This was such a minimal thing to do, and considering how much they vibe and claim "coding is solved," we thought it would not be too difficult to respect AGENTS.md, so finally seeing it happen, while nice, is too late for me. I've moved on from Big Ai and only use open weight models now.
That said, AGENTS.md doesn't seem like a good name, right?, technically, it's an instructions file read by a single agent, not necessarily for agents, so it always struck me as a bit odd
But until the next standardization, keeping just AGENTS.md is the best approach.
Gotta say, it is hilarious that this is the current top HN post. I feel like it's gotta say something about our current AI zeitgeist, that there is such vigorous attention on a seemingly-minor change. Feels like something is on the tip of my tongue but I can't name it at the moment.
If anyone wants to write/link a much better-thought-out post, I'm all ears!
Another commenter appreciated the move towards a sane/nice standard. I am definitely on that side of the table. I'd rather feel good about the move -- good enough to ignore the other implied issues, lol.
I also think your point has at least one decent reading: that the upvotes help other practictioners update their mental model of their tools. There's probably also some value due to being an implicit "Claude Code megathread" for commenters to congregate around. News so minor that it does't even really make sense to force people to fully stay on topic, hah.
Windows does actually have symlinks but I don't think I've ever seen anything actually use them, and I don't myself because it smells of interop issues with other windows apps.
Even to this day Windows has all kinds of problems around long file paths in its ecosystem.
> Even to this day Windows has all kinds of problems around long file paths in its ecosystem.
To this day I don't know if it's a Windows problem or a Python problem, because I never encountered this - and never realized this problem exists - except for some random Python code whose docs tell me to set some registry value because of "long paths issue".
The 260 character limit is just a Windows problem. See my other comment in this subthread for a summary of the eldritch horror in question. The tl;dr is that backwards compatibility is a helluva drug.
It’s a Windows problem. There’s still, to this day, a 259-character limit on path length in the Win32 API unless the OS has been configured to support long paths and the application uses the correct subset of Windows APIs. For example if you use ‘CreateFileA’, you’re stuck with the limit no matter what.
There’s no problem with Python in general. The registry value LongPathsEnabled, which is probably the one you were asked to set, affects the entire Windows system.
However, there’s also an older workaround that allows programs to use “extended paths” even if that setting is off, by prefixing path strings with “\\?\”. So applications using that workaround can use long paths no matter how Windows is configured. But Python doesn’t use the workaround, it uses the modern APIs and if you want long paths, you need to configure the underlying Windows system to enable it.
Windows supports it but git disables creating symlinks by default.
> Short version: there is no exact equivalent for POSIX symlinks on Windows, and the closest thing is unavailable for non-admins by default unless Developer Mode is enabled and a relatively recent Windows 10 version is used. Therefore, symlink emulation support is only turned on by default when that scenario is detected. Support can be enabled by the user, via the core.symlinks=true config setting.
finally!
Now this might sound sorta off-topic but i really wonder how people feel about skills.md, skill.md, skills.sh domains...
the fact that they're owned by different companies (ok vercel is a little less random) still leaves me with a sour taste in my mouth when thinking about the fact that they should all point to 1 place about how to create and find skills for ai agents?!
Everyone sharing the 513 ways you can already do this is entirely missing the point. Standards matter and there's very few things in the AI world everyone agrees on and this is one of them. .agents/skills is another and anthropic is still holding out there.
Forcing their own proprietary filename was clearly a business decision (it's free advertising, along with commit co-authorship). I wonder what made them go back on it.
They're probably losing market share. The only time you ever see tech companies make consumer-focused changes is when those consumers are jumping ship to go somewhere else in large enough numbers to matter.
Anyone have a good guide on properly setting up/optimizing local llm stuff like this?
I've been using omlx and qwen for almost a year but have bounced around clients a bunch, and it seemed like everything was specific to claudes style of config layout, so I've been putting all of my skills/agents/md files in my ~/.claude as a catchall for bouncing between pi.dev/claude/vscode/etc. and just seeing what happens. I really haven't used claude itself much so reasonable but I didn't know it didn't look at AGENTS.md, for instance. Also using some memory/kb system that puts $myKB.md in directories to pre-fill context by project/workspace.
I'm currently using oh-my-pi but in the quest for optimization and token trying to get better than 30t/s on my m1 max 64gb (qwen3.6-a35b) I probably need to spend some time just making pi base into what I need and not the opinionated omp setup I have that probably makes the initial context larger than it should be.
I'm between work and can't afford the $100+ frontiers but it does get really frustrating spending hours/days tweaking this stuff to almost no benefit sometimes. When I do get to use a frontier it's such a nice break from fixing things. The local llm stuff can definitely be a bit frustrating right now and zap the energy I have for work out of me when it goes awry.
When Jesus' mother notices that the CLAUDE.md (Ancient Greek: Κλαύδιος ) file is missing from her favourite open source project, Jesus delivers a sign of his divinity by turning Claude's CLAUDE.md search path into AGENTS.md at her request.
Can it read copilot.md if neither of the other files are present?
Also: agents should be the standard, or we need to invoke the XKCD for "one more standard to rule them all"?
Still don't understand the point of the markdown files.
Isn't it literally all just more text you're adding to the prompt. How can you even be sure it isn't just clouding context with nonsense for whatever you're asking for?
For skills, it only reads the summary telling it when to read the rest. So yes if you have too many skills, it can get confused and start reading all them and cloud the context. But if you have a few and they're used tactically, it's better than having to manually paste in prompts that you reuse a lot.
Similar reasoning with claude.md except it always reads the entire thing(?)
You know it because you write the content of AGENTS.md. And if you are smart, you keep it brief and cover only the important things that anyone (human OR LLM) would want to know if working in this directory.
In my experience telling it what I want is not a reliable process at all whatsoever if what I'm asking for is sufficiently complex, no matter what context I provide. So instead I break tasks down into very small parts, ask for solutions to those that I can reasonably quickly assess and then put them together myself. Asking it to do the architectural or deep algorithmic legwork IME wastes so much time and is often just wrong.
There's a balance to be found here, that's unfortunately very hard to find at times.
In my experience, there are two classes of tasks: some are very "in-distribution", and for those LLMs can near-flawlessly perform the "architectural or deep algorithmic legwork", with maybe a single second round to fix the mistakes. For others, I have to break the tasks down myself, and often it's a "death through thousand papercuts", because the size of a task that I can quickly verify and the LLM will not screw up with > 50% probability is small enough that it's sometimes net negative time spent relative to doing it myself (and using LLMs only as glorified search engine and article summarizer).
I like to tell myself that I'm getting better at recognizing these two classes up front, but I'm still frequently surprised when "type 1" turns out to be "type 2".
But circling back to the main topic: with "type 2", agent instructions are paramount, if only to enforce the "small steps, pre-commit to scope and methodology, verification at the end, user doesn't even want to know about anything in between" rules, as agents naturally want to run ahead faster than I can keep up with.
A good practice to use (ime) is having it do research for the larger task, propose alternatives, and write that in a file. You can then review and comment that up, go through another iteration.
Then when it comes to implementation time, things typically go much smoother for larger changesets. Be wary to not overplan, as we all know how often we realized we missed something once we get into the details. Here, I stop the session and go back to iterating on the design/plan doc. Not a step-by-step guide, if you don't instruct them to the difference, they will just pseudo-implement in the plan like they do in their thinking traces, need to be be explicit about the level of detail.
this is probably outdated, attention typically stays fine up to ~200k tokens these days
you end up clouding that more with an agent having to re-understand concepts or conventions
AGENTS.md is good when it is a nested sparknotes for the project, you save context and turns overall, but keep them minimal and largely gotchyas or unusual workflows in your repo
we don't need them, but it does make (some of) us more productive, and if you aren't having agents review your code, you are almost certainly shipping more bugs than you want to
Oh-my-py unlocks max capabilities at the smartest token usage, and you can change AI company and providers while still getting things done. Roles, advisor, and the ability to use Chinese models on international providers with no training and ZDR behind OpenRouter are very powerful. You can have providers and model companies competing on price, intelligence, and speed for something that's useful but with less and less moat as model progress plateaus.
I now use GLM 5.3 for slow/planning, GLM 5.3 Flash as the default task-vision model, and DeepSeek Flash 4.1 as the advisor. Providers are ordered by cheapest at the minimum TPS I want for that model. I use it not only for coding but also as a personal assistant. I can ask it things and it gets them done automatically, like opening an issue on a repo, then having another agent ship the code, run the tests, and update master after having changed the app to autoupdate on cut release.
I can also ask it to do groceries. I use Bitwarden machine secrets and a limited virtual card connected to my phone.Something else that's very powerful is asking it to launch parallel agents to do things you know don't overlap too much.
The amount of agency we're gifted with is crazy, you can now move hundreds of hours of work with one hour of input using an open-source harness and open-weight models. I can't wait for more competitors in the chip space, and to be able to buy models etched on silicon for even higher agency, speed, and independence.
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