everlier

7 ms·

1.
by everlier 7d ago
It's actually a really great idea, but it doesn't have to go beyound existing Responses or Chat Completions APIs. We built that in my current company and it works wonders to just script entire persistent workflows with a simple SD
2.
by everlier 12d ago
"THIS IS NOT A DRILL"
3.
Agent Swarms(av.codes)
1 points by everlier 29d ago|0 comments
4.
A Harness for AGI(viktor.com)
2 points by everlier 1mo ago|0 comments
5.
Harness Archaeology(av.codes)
2 points by everlier 1mo ago|0 comments
6.
Local Inference(av.codes)
5 points by everlier 3mo ago|0 comments
7.
by everlier 3mo ago
You can also install Harbor and then it's: harbor up omlx opencode
8.
by everlier 4mo ago
The company I work at tries to solve it right now, not promoting, just want to share. Slop is no fun to deal with, so we have a thesis that slop should be left for agents to read and human-to-human communication should happen outside of pas
9.
Show HN: Harbor v0.4.19 – harbor launch –back end vLLM –web codex(github.com)
4 points by everlier 4mo ago|0 comments
10.
Show HN: Naiou – an agent that can only answer yes or no to your query(github.com)
1 points by everlier 4mo ago|0 comments
11.
Skilled – a CLI and TUI to inspect skill usage by your coding agents(github.com)
1 points by everlier 4mo ago|1 comments
12.
by everlier 4mo ago
I wanted to have a nice way to see which skills in my agentic setups are not useful anymore, so I built this tool to aid in that. Bun+OpenTUI for CLI, separate Rust binary for indexing the sessions of your coding agents. Release video made
13.
Show HN: Tiny agentic loop with Docker sandbox(github.com)
1 points by everlier 4mo ago|0 comments
14.
by everlier 4mo ago
There was never a better time to run LLMs locally. It's just a few commands from zero till a fully working LLM homelab. ``` harbor pull unsloth/Qwen3.6-35B-A3B-GGUF:UD-Q4_K_XL # Open WebUI -> llama.cpp + SearXNG for Web RAG + O
15.
Show HN: [Video] Tribute to LLM releases in April 2026(youtube.com)
2 points by everlier 4mo ago|0 comments
16.
by everlier 4mo ago
Thanks for the interest! Spec is essentially a set of facts + fluff. List of facts is essentially the spec minus the fluff. This was my main idea when trying this approach out. It worked quite well, so I went on building the CLI and a set o
17.
by everlier 4mo ago
Thanks! The project is dogfooded, so the most direct example is the project itself. Outside of that, I found a few things particularly useful so far: - I can seed a relatively complex project with just a few core assumptions about behaviors
18.
Show HN: Replacing spec-driven development with just facts(github.com)
7 points by everlier 5mo ago|4 comments
19.
Hyperscalers are 4500 years old(av.codes)
2 points by everlier 5mo ago|0 comments
20.
The Gate Test: Why Human-in-the-Loop Fails and How to Fix It(jitera.com)
6 points by everlier 5mo ago|0 comments
21.
by everlier 5mo ago
owning GGUF conversion step is good in sone circumstances, but running in fp16 is below optimal for this hardware due to low-ish bandwidth. It looks like context is set to 32k which is the bare minimum needed for OpenCode with its ~10k init
22.
by everlier 5mo ago
I tried, really really hard but then I realised that I essence it's a poorly written agentic coding assistant that wastes a lot of tokens antropomorphising itself while forcing me to debug via WhatsApp instead of normal tools. So I lea
23.
by everlier 5mo ago
Changes as we speak, z.ai is the first one to show differential pricing
24.
Mi – agentic harness in 30 lines of JavaScript(github.com)
3 points by everlier 5mo ago|1 comments
25.
by everlier 5mo ago
After seeing a recent video from Theo, I wanted to see how far I can take a harness contained in just 30 lines of JavaScript. Turns out - far enough to be useful, it handles simple tasks just fine, works with both cloud and local models, us
26.
by everlier 5mo ago
Thanks! Caustics shader is one of the treasures in our current landing :-)
27.
The Quality Wall of AI Adoption(jitera.com)
1 points by everlier 5mo ago|2 comments
28.
by everlier 6mo ago
Pi is a great set of libraries, I would tend to say its underappreciated previously, but now it's fairly mainstream
29.
Show HN: AI for Your Team(jitera.com)
1 points by everlier 6mo ago|0 comments
30.
by everlier 6mo ago
They are playing catch up with Anthropic's in this functionality. Claude's app was unified and extended with new use-cases since pretty much the very beginning and OpenAIs approach is just a reflection of their attempt too shoot f

More ›