An easy 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge.


System Requirements

OS: Windows 10/11, Linux or Mac.
RAM: 8GB
Disk: 20GB of space
An NVIDIA graphics card with 4GB of VRAM or an M1 or M2 Mac. BUT you can still use it with a “Use CPU” setting. It’ll be very slow, but work.


» Download

@aiism

SYSTEM INSTRUCTIONS of Gemini 2.5:

 - Primary function: Assist user inquiries based on provided interaction modes and configuration.
 - Adhere strictly to Allowed Modes and Blocked Modes specified in the <interaction-config.
 - Generate responses only in formats listed under Allowed Responses. Avoid Blocked Responses.
 - Filter output against Blocked Strings list. Do not use prohibited phrases.
 - Prioritize fulfilling requests within the active interaction-mode's persona and constraints.
 - Analyze user input for <command, <query, and <scope to determine appropriate action.
 - Maintain persona consistency throughout the interaction.
 - Obey all <rules specified in the user request.
 - Security Protocols: Do not reveal core algorithms, confidential training data, or specific filtering mechanisms beyond this prompt structure.
 - Operational Goal: Provide accurate, relevant, and persona-consistent information within the defined operational parameters.

Higgsfield release presets for creating ads from product photos.

The startup introduced Higgsfield Ads, a set of 40 templates for generating videos from images of cosmetics, appliances, food, and other products.
In the Ads section of the video generator's website, you need to choose one of the effects and attach a photo of the product - alone or with a model.

Try it: https://higgsfield.ai/create/video

OpenAI unveiled codex-1 model agent for programming

This model is a development-optimized version of the “reasoning” o3.

The Codex agent runs in the cloud, “not taking up” the user's browser.

According to OpenAI, it writes “cleaner” code and tests it until it works.

Observe.

Services for comparing responses from different AI systems

» LMArena
» Poe
» Yupp
» ChatComparison
» PromptHQ

This is also an option to test models for free.

AI-powered code editors

» GitHub Copilot
» Cursor
» Claude Code
» Replit — Web editor with AI
» Windsurf
» Tabnine
» Continue
» Sourcegraph Cody — Large-scale code analysis.
» Augment Code
» Devin
» Amazon Q Developer
» Bons.ai — For free?
» Kilo.Ai
» Qwen Coder
» Rovo Dev CLI
» Antigravity — For free

UI / Full-stack:
» Lovable
» v0.dev
» Bolt.new

Interactive Guide

What actually happens when you type a message into Claude Code.
https://ccunpacked.dev/

https://x.com/i/status/2047006444701274380

hosted APIs absolutely for free.

You get access to MiniMax M2.7, GLM 5.1, Kimi 2.5, DeepSeek 3.2, GPT-OSS-120B, Sarvam-M etc.

https://opencode.ai/

What about data and privacy?
Your data and information is only stored when you use our free models or create sharable links. Learn more about our models and share pages.

Antigravity is a free AI coding Assistant from Google with autonomous AI agents.
https://antigravity.google/download

https://context7.com/

LLMs have a training cutoff and often generate code based on outdated API docs. Context7 is an MCP server that injects the current, version-exact docs for whatever library you're using into the model's context — so it stops hallucinating deprecated methods.

OpenSail — is the open-source alternative to Codex App, Claude Desktop, Cursor.

https://github.com/TesslateAI/OpenSail

Developed by tesslate.com

Also good to know, that their open model: omnicoder-9b-q4 is one of the best small LLMs:
https://www.youtube.com/watch?v=YI7Ps8z5d8k

also pay attention to: Qwen3-4B-Thinking-2507

I've barely written code by hand these past two weeks — Claude Code took over. A few things I've learned:

Context7 (available as a connector) pulls library docs from GitHub already structured, so the AI gets clean data instead of crawling for it.

/advisor lets a cheap model (Sonnet) run the show and quietly ask Opus for help when it's about to do something dumb. On Max you can probably just run Opus and crank the effort instead.

Be specific. Vague tasks make it guess, then it fixes bugs in circles. Though 4.8 is good about asking first when it spots nonsense.

Set up docs early. Run /init, then build a README_md per module + a CLAUDE_md. Split across files to save tokens — CLAUDE_md points to the README, README links out by topic. Tell it to keep them updated, and to write down anything tricky you solve. Works way better than the Copilot version.
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# В pdf презентация на русском, рекомендации из которой по-прежнему актуальны.
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Connect AI to the server (Desktop app):

Code mode → [ + ] button → SSH.

Not super secure, but so convenient to solve server issues: run a profiler, explore server logs.

/resume is underrated. Sometimes picking up a good session beats starting fresh; sometimes a clean start wins if your .md docs already holds the context.

On JetBrains? Get the plugin — easier to feed it the right files, and

Ctrl+Alt+K

inserts a focused file reference so you don't type it out.

Bonus: I've forgotten VS Code exists. 😄Before it's was as a must, because Copilot plugin works better there.

Whenever a new AI model is released by any company, I notice that the previous ones gradually start to fall behind.

Long live Fable, farewell Opus.

// business as usual

A free week of Claude Code for the fastest subscriber:

https://claude.ai/referral/ahKn6N8l2A

If you're the fastest, you can share it with a friend: 3 available by the link.