Appliku Reviews

1. Guest

   almost 3 years ago
   Great for a beginner

   Makes it easy to deploy without binding you to some start-up-company servers. All hosted on Amazon in my case.

opencode Reviews

Appliku mentions (54)

• Django is for everyone.

  Unfortunately, this is the main downside of choosing Django over other options targeted at personal websites. With Blaze.horse, I’ve tried to set you up for an easy time, but it’s still fiddlier than it ought to be. There are some up-and-coming projects that give me hope, such as Button and Appliku, but I’m personally happy with Fly for now. - Source: dev.to / almost 2 years ago

• Logs of Celery Tasks

  Also you can watch logs for current processes without logging into SSH. Check it out: https://appliku.com. Source: over 2 years ago

• Django api deployment (python 3.11 supported)

  I'm using https://appliku.com/ for my deployments. They have a free tier and it set's up everything for you but you need to be using docker. Source: about 3 years ago

• Any exciting projects/tools

  For 4 years I am grinding on making the best deployment tool for python/Django apps. Still excited about it :) https://appliku.com. Source: about 3 years ago

• Using NextJS for templates a sensible choice?

  We at https://appliku.com went with NextJS + DRF (drf-spectacular, open api codegen) and it is amazing. Source: about 3 years ago

opencode mentions (67)

• ZCode: Claude Code from the Makers of GLM

  Https://opencode.ai/ OpenCode was the first agent harness I used, and I have always like it. You can configure a wide variety of providers, but it's open source and has a number of core contributors. The other opinionated option is Pi (the Pi agent harness). This is a great lightweight option and also supports a number of providers. You can also use local model servers. - Source: Hacker News / about 23 hours ago

• AI for Less Popular Programming Languages

  OpenCode with GLM 5.2 wrote custom Emacs Lisp to pinpoint within the file where the missing or extra bracket could be. It rewrote the custom code to check various parts of the file. Each of those is a tool use and many, many tokens burned. The next step is to turn those custom scripts written by the AI agent into a tool to speed up the process, or a skill that shows how to use other tools to speed up the process. - Source: dev.to / 4 days ago

• How to Run Reliable Local LLM Agents on an RTX 3090: A Benchmark (5 Models, Priced in Watts)

  I gave GLM-4.5-Air (106B, open weights) 12 coding tasks through opencode on my RTX 3090. It scored 0% — never edited a single file. - Source: dev.to / 5 days ago

• The head chef model of AI collaboration

  Set up your stations. I work in two Ghostty terminals. The left side is for planning and viewing, the right for synchronous agents running through OpenCode. - Source: dev.to / 13 days ago

• Testing GLM-5.2 on OpenCode: I'm impressed!

  If you want to try it yourself: grab OpenCode, point it at OpenRouter, select GLM 5.2, and give it a real task instead of a benchmark. The z.ai docs have the rest of the details. - Source: dev.to / 14 days ago