Hi everyone,

I run a multi tenant platform. On a Forge server having 8GB memory. Performance is honestly not bad, my code is optimized, and I spend over 2 weeks fully optimizing the server to a point where it's has no point to further optimize.

Performance is great, but I'm a complete tool and I'm never happy. I looked into Octane as it promises faster performance. I've got to a point where I've implemented Octane on a development site. There were a few issues were leaks were happening between tenants. They're fixed as far as I can find them, and run tests.

But I'm still a bit worried something may slip through when I ship everything to production. I've already let AI audit everything a few times over and over and they cannot seem to find any flaws. We all know AI isn't perfect, so I'm wondering if people here on this subreddit have done something similar and have any experience they want to share.

Thanks in advance. Sorry for the long story.

Hi all,

I'm building an arcade for my children. They just want to have some fun without being disrupted by advertisements all the time. I know there's loads to buy on CodeCanyon, which I have a few from, but ideally I'm looking to get more. Does anyone know any good sources to find games on? Using an API, or being able to download the package would be great.

Thanks!

I want to do this properly. Not a wall of bullet points, not a "we're thrilled to announce." Just me telling you what changed, the way I'd tell a friend over coffee or a beer.ForumSpark 2.0 has been the better part of almost a year of work, and it is easily the biggest thing I have ever built. So let me start with the part that matters most to the people who have been here a while. If you are already on ForumSpark, nothing gets taken away. A promise, not a launch-week softener.

Continue reading on the blog

https://preview.redd.it/l5q9jm2p5teh1.png?width=1735&format=png&auto=webp&s=86042f447e3681b71e417d6b417f3a8574dfb771

I am generally very satisfied with working with Opus. There's little frustration, it knows what I'm after.

But (and maybe this is just me) I've noticed that quality is less on point when I have two windows open and doing work on two separate projects. Has anyone noticed this or am I the one hallucinating?

https://preview.redd.it/hnm4o8qqsebh1.png?width=1128&format=png&auto=webp&s=ff218ce541c098ebd93829fb3841a283113f4ab4

We still have two days to go. What have you done with Fable, what is your opinion on it? Have you maxed it out yet or did you hardly get to use it so far?

I asked ChatGPT what was recommended to run something locally. My question is if there is someone here who literally has done something smililar and can share some experience compared to running API.

Copy and paste:

Yes — you can run a “Claude/Codex-like” AI locally for free, but there are a few important realities you should understand first.

🧠 The short answer

• ✅ Yes: You can run coding AIs locally (no API cost, fully offline)
• ⚠️ But: They’re usually weaker than Claude/Codex and need decent hardware
• 🧩 Best setup today: local model + local tool (like an IDE plugin or agent)

🔧 The easiest way (what people actually use)

1. Run a local model (the “brain”)

The most popular tool is:

• Ollama → easiest way to run AI locally

With it, you can install models like:

• Qwen Coder (very strong for coding)
• Llama 3.3 (closest to GPT/Claude style)
• DeepSeek R1 (great for debugging)

These are 100% free and run on your PC

👉 Example:

ollama run qwen3-coder-next

2. Add a coding interface (the “experience”)

To make it feel like Claude/Codex, you pair it with:

• Continue.dev (VS Code plugin)
• Aider (terminal-based agent)
• LM Studio (desktop UI)
• Bodega One (full offline IDE)

These tools let the AI:

• read your codebase
• edit files
• generate features
• act like an “agent” (similar to Claude Code)

Some setups even run completely offline with zero internet

⚡ How good is it vs Claude / Codex?

Here’s the honest comparison:

Feature	Local AI	Claude / Codex
Cost	✅ Free	❌ Subscription / API
Privacy	✅ 100% local	❌ Cloud
Performance	⚠️ 70–80% for normal tasks	✅ Best-in-class
Big projects	⚠️ Struggles sometimes	✅ Much better
Setup difficulty	❌ Moderate	✅ Easy

Local models now handle:

• autocomplete
• refactoring
• debugging
• writing tests

…but still lag behind top cloud models on complex reasoning

💻 Hardware reality (important)

This is the catch most people underestimate:

• Minimum: 16GB RAM → small models
• Good: 32GB RAM or GPU → decent experience
• High-end: 64GB / strong GPU → near Claude-level feel

Even though some models run on 8GB, they’re pretty limited.

🧩 “Claude Code locally” — is that real?

Kind of.

You can replicate the experience, but not literally run Claude:

• Local models + agent tools ≈ “Claude Code clone”
• Some setups mimic full repo understanding + automation

But:

• It’s still not as polished or powerful as real Claude/Codex

🧠 Best beginner setup (recommended)

If you want something practical:

1. Install Ollama
2. Install VS Code
3. Add Continue.dev
4. Run:ollama run qwen3-coder-next

That’s the closest thing to:
👉 “free Codex / Claude locally”

🚀 Bottom line

• Yes, you can absolutely run a free local coding AI
• The ecosystem is really good now (2026 is a turning point)
• But it’s still a tradeoff:
  • 💸 save money
  • 🔒 gain privacy
  • ⚡ lose some power