hof
cue
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hof | cue | |
---|---|---|
33 | 108 | |
475 | 4,737 | |
2.7% | 2.0% | |
8.9 | 9.7 | |
5 months ago | 7 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hof
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Ask HN: Are SQL developers generally familiar with JSON, VSCode and Docker?
Many business analysts use SQL, have for a long time. They are probably not your target audience. With the problem being JAVA specific, you'd likely want to start there
This sounds similar to the goals of my hof tool (https://github.com/hofstadter-io/hof), lift type definitions out of code so they can be defined in one place, then generate the code for all the places. Is that sounding like what you are after?
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Show HN: Open SaaS – An open-source alternative to paid boilerplate starters
Having built something similar, the biggest challenge for users is that they have to use a bespoke language, like WASP here. I suspect that it is also your biggest challenge as well.
Mine is built on CUE, which at least has the potential to become a more widely used language. CUE hasn't reached sufficient maturity for broader adoption yet, so I continue to face this same problem.
https://github.com/hofstadter-io/hof
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OpenAI: Prompt Engineering
Here's a big one I needed to get ChatGPT to do something more sophisticated with a JSON object response (predates functions and all that)
https://github.com/hofstadter-io/hof/blob/_dev/flow/chat/pro...
It no longer worked after a model update some time ago, haven't tried recently.
I found codellama to be much better for this and require fewer instructions, an anecdotal validation for smaller, focussed models
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Ask HN: What's the most compelling AI prompt result you've seen?
I was surprised out how you can define arbitrary grammars using arbitrary formulation and it would follow it. Of course you have to redo the prompt every time there is an update... such a pain
https://github.com/hofstadter-io/hof/blob/_dev/flow/chat/pro...
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HTTPie Desktop: cross-platform API testing client for humans
CUE is indeed a beautiful language, will get those mind juices flowing for sure!
There is more work to be done on the codec implementation, but if you just want to split yaml/json across files, CUE is a great option
You might also like my project, built on CUE: https://github.com/hofstadter-io/hof We have a TUI where you can explore and work with CUE, JSON, Yaml
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Show HN: A tool to Convert JSON schemas into TypeScript classes
You can pretty much make up any pseudo grammar like this one, which is a reduced JSON object that is close to CUE: https://github.com/hofstadter-io/hof/blob/_dev/flow/chat/pro...
No need to be formal or use a standard format
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Guidance: A guidance language for controlling large language models
Yea, in particular for this project, they have created a bespoke templating system.
You can get the same thing with Go text/templates by adding chat function(s) as custom a helper: https://github.com/hofstadter-io/hof/blob/_dev/lib/templates...
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Textual Web: TUIs for the Web
100% one of the best things about building a TUI is not having the pain of modern web development. I do think there is a way to have a CLI & TUI come from the same code, so you can get the best of both, or pick the best for the task at hand.
experiments in progress here: https://github.com/hofstadter-io/hof/tree/_dev/lib/tui
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Jacobin: Minimal JVM written in Go and capable of running Java 17 classes
CUE is another interesting language to use from within Go, and is rather natural, given CUE is implemented in Go, but you can also do way more cool things with CUE via the Go API.
We're using CUE to validate and transform data, as input to code gen, the basis for a DAG task engine, and more
https://cuelang.org | https://pkg.go.dev/cuelang.org/[email protected]/cue | https://cuetorials.com/go-api (learn about CUE)
https://github.com/hofstadter-io/hof (where we are doing these things)
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Introducing TypeChat from Microsoft
here is one of our early examples: https://github.com/hofstadter-io/hof/blob/_dev/flow/chat/pro...
cue
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Show HN: Workout Tracker – self-hosted, single binary web application
Where `kube.cue` sets reasonable defaults (e.g. image is /). The "cluster" runs on a mini PC in my basement, and I have a small Digital Ocean VM with a static IP acting as an ingress (networking via Tailscale). Backups to cloud storage with restic, alerting/monitoring with Prometheus/Grafana, Caddy/Tailscale for local ingress.
[1] https://www.talos.dev/
[2] https://cuelang.org/
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Apple releases Pkl – onfiguration as code language
I've been somewhat surprised that CUE bills itself as "tooling friendly" and doesn't yet have a language server- the number one bit of tooling most devs use for a particular language.
I'm assuming it's becaus CUE is still unstable?
Anyway, if others are interested in CUE's LSP work, I think https://github.com/cue-lang/cue/issues/142 is the issue to subscribe to
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Why the fuck are we templating YAML? (2019)
This is where I usually pitch in with "Have your heard of CUELang, our lord and savior?": https://cuelang.org/
- Not turing complete
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10 Ways for Kubernetes Declarative Configuration Management
CUE: The core problem CUE solves is "type checking", which is mainly used in configuration constraint verification scenarios and simple cloud native configuration scenarios.
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Lua is a viable alternative for JSON
If you really want executable configurations please consider a newer language like https://dascript.org or https://cuelang.org which provide better type safety.
1- https://news.ycombinator.com/item?id=38030778
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Writerside – a new technical writing environment from JetBrains
Markdown and XML are nice, but what about more advanced documentation formats like OpenAPI? For one recent project, I set up automatic generation of the OpenAPI docs from (much more compact and flexible) CUE definitions (https://cuelang.org/) - which has the bonus of also being able to test the API against the definitions. JetBrains has a CUE plugin, but it's really barebones (doesn't even support jumping from the usage of a schema to its definition). Of course the possibilities when generating docs are endless (just think of the various syntaxes for doc comments, embedding examples/tests in source code etc.)...
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Show HN: Config-file-validator – CLI tool to validate all your config files
It doesn't include validators for TOML and INI, but if you're doing JSON and YAML, I would take a look at using or building upon CUE (https://cuelang.org/). It is a different take on schema definition (plus more), and is surprising terse and powerful model.
- That's a Lot of YAML
- An INI Critique of TOML
- What Is Wrong with TOML?
What are some alternatives?
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