I tried openclaw when it was released, but I preferred the minimalism of nanoclaw and replaced it. I have it on a mac mini now
For context: I have additional automation with scripts set up on the mini, some of them call LLMs to do things like summarizing today's news.
I have other automations that are agentic and just run "claude -p" (mainly just checks status of other jobs and fixes them automatically). Agentic automations are great because they can handle unexpected situations (at the cost of predictability). They're all sandboxed and we have control over tools for the most part. Any files it would write to are typically git-controlled so we have change records and rollback built in.
Nanoclaw acts as an agentic layer but combines it with the communication layer over telegram to make it interactive.
I use it to go through my centralized task list (currently beads in my main 'wiki' monorepo), give me nudges for todos, I can also send it pictures of say, food and it will fetch a recipe and sort it into the wiki via a general "inbox" skill (claude has it as well). Every day at 12:30 it will give me a mini "standup" of all my personal projects and todos, and once in a while will give me some thoughts based on my interests.
Its set up to do appropriate tasks with local models to keep token costs down, so far it doesn't seem to cost more than $10-20/mo, it would use less if I didn't drive it with sonnet.
I'm still experimenting with it, and trying to go slow, one thing at a time. I don't give it access to anything super sensitive yet, and try to keep it observable.
> Early career folk join some toxic startup and stay because the internet told them all CEOs are like this.
I literally did this 12 years ago based on this reasoning, its good you're trying to counter that with the next generation.
With that said, I do wish there was more discourse around systemic issues rather than the usual finger-pointing towards rival social groups. Unfortunately I feel like our language gets in the way, systems issues are more abstract, but "bad people" are more visceral and easy to talk about.
This is a big part of why I'm looking to develop a local LLM capability: having the hardware is a good start, but also developing the understanding on what the SoTA of local edge models can do, so we're not crippled if remote models stop being served, or at least some risk management.
It doesn't solve the problem of general LLM dependency (at the end of the day we gotta keep our brains sharp), but any LLM-based workflows aren't all of a sudden put at risk if we set up something that depends on it.
Kind of. I'm finding that my terminal window in VSCode went from being at the bottom 1/3rd of my screen to filling the whole screen a lot of the time, replacing the code editor window. If AI is writing all of your code for you based on your chat session, a lot of editing capabilities aren't needed as much. While I wouldn't want to get rid of it entirely, I'd say an AI-native IDE would deemphasize code editing in favor of higher-level controls.
I've been getting close to that myself, I've been using VSCode + Claude Code as my "control plane" for a bunch of projects but the current interface is getting unwieldly. I've tried superset + conductor and those have some improvements but are opinionated towards a specific set of workflows.
I do think there would be value in sharing your setup at some point if you get around to it, I think a lot of builders are in the same boat and we're all trying to figure out what the right interface for this is (or at least right for us personally).
I agree with most of the other comments so far, the "magic" of the show is going to be hard to replicate.
My bull case for this is that Nathan Fillion and crew have had 20 years of exposure to this fact and likely know what they're getting into and how to do it right. The only question is if they'll be able to execute. I'm excited!
Say what you will about Joss Whedon, but his use of a colorful
character palette & quirky, punchy style of dialog have gone from niche to mainstream in the 30+ years since Buffy. Mostly thanks to Whedon’s and his imitators’ escalating success with that formula: The Avengers, for example, took Marvel from a series of above-average superhero hits to total cultural dominance.
There’s plenty of writing talent out there that grew up wanting to emulate Buffy and Firefly, so if hearts and budgets are in the right place, recapturing that part of the show should be eminently feasible.
I'm a little nervous about this affecting it negatively. Back when Buffy and Firefly were on the air, they felt so unique due to the dialogue style. But now that'll just seem like every single generic superhero movie. Hopefully it can buck that feeling somehow.
I feel like Buffy doesn’t work so well in the modern era, unlike animated firefly? Not entirely sure why though. Maybe part of the charm of Buffy is the setting?
Thats exactly what we as software engineers do. We are constantly automating ourselves out of a job. The trick is that we never actually accomplish that, there will always be things for humans to do.
We're discovering so much latent demand for software, Jevon's paradox is in full effect and we're working more than ever with AI (at least I am).
Software engineering is being automated. But building intelligent automation is just starting. AI engineer will be the only job left in the future as long as there are things to automate. It's really all the other jobs that will be automated first before AI engineer.
Most knowledge worker use computers today to do their work, but we don't necessarily call them computer or software engineers. I think it will be something like that, but the economy will need to adapt and grow in order to accommodate it.
OP compared AI to interns, and how they need to guide it and instuct it on simple things, like using unit tests. Well, what about when AI is actually more like an ultra talented programmer. What exactly would OP bring to the table apart from being able to ask it to solve a certain problem?
Their comment about people who don't operate like them being out of a job might be true if AI doesn't progress past the current stage but I really don't see progress slowing down, at least in coding models, for quite some time.
So, whatever relevance OPs specific methods have right now will quickly be integrated into the models themselves.
If anyone wants a chuckle, I vibe-coded an endless supply of "synergizing paradigm" terms as a slideshow for a fake corporation. It's fun to put on in the background on a tv somewhere to see if anyone notices.
That’s always the line you’re listening for. Everything before that is bullshit, everything after is trying to justify the new product for that one change.
In favor of preferable outcomes of operational excellence as part of our customer success. Barf.
I keep hearing this from the naysayers, but I just think that they haven’t fully integrated unilateral phase detractors into their work effectively. Maybe you’re using the free retro encabulator tier so you don’t see the full capabilities, but some of us are already twice as productive.
+1 for Tauri, I've been using it for my recent vibe-coded experimental apps. Making rust the "center of gravity" for the app lets me use the best of all worlds:
- declarative-ish UI in typescript with react
- rust backend for performance-sensitive operations
- I can run a python sidecar, bundled with the app, that lets me use python libraries if I need it
If I can and it makes sense to, I'll pull functionality into rust progressively, but this give me a ton of flexibility and lets me use the best parts of each language/platform.
Its fast too and doesn't use a ton of memory like electron apps do.
Also, Rust's strong and strict type system keeps Claude honest. It seems as if the big LLM models have trained on a lot of poorly written TypeScript because they tend to use type assertions such as `as any` and eslint disable comments.
I had to add strict ESLint and TypeScript rules to keep guardrails on the coding agents.
For context: I have additional automation with scripts set up on the mini, some of them call LLMs to do things like summarizing today's news.
I have other automations that are agentic and just run "claude -p" (mainly just checks status of other jobs and fixes them automatically). Agentic automations are great because they can handle unexpected situations (at the cost of predictability). They're all sandboxed and we have control over tools for the most part. Any files it would write to are typically git-controlled so we have change records and rollback built in.
Nanoclaw acts as an agentic layer but combines it with the communication layer over telegram to make it interactive.
I use it to go through my centralized task list (currently beads in my main 'wiki' monorepo), give me nudges for todos, I can also send it pictures of say, food and it will fetch a recipe and sort it into the wiki via a general "inbox" skill (claude has it as well). Every day at 12:30 it will give me a mini "standup" of all my personal projects and todos, and once in a while will give me some thoughts based on my interests.
Its set up to do appropriate tasks with local models to keep token costs down, so far it doesn't seem to cost more than $10-20/mo, it would use less if I didn't drive it with sonnet.
I'm still experimenting with it, and trying to go slow, one thing at a time. I don't give it access to anything super sensitive yet, and try to keep it observable.
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