You guys gotta see this it’s just amazing

2.0 is here!

Add these custom instructions to your ChatGPT with new GPT-5.1 Thank me later.

best deep research agents rn: 1st: chatgpt (with gpt5 thinking) 2nd: claude (opus 4 ext. thinking) 3rd: claude (sonnet 4.5 ext thinking) 4th: perplexity (with research on) 5th: grok (with expert mode) 6th: gemini (worst of all - just ai slop)

if you're still using this thing, read this: > don't sign up/sign in with google/microsoft or any of your legit email. > don't export data from previous browser to this. why? your data (passwords/cards etc) can be exposed to attackers that have deep JSON prompt injections embeded into their webpages. you'll say "summarize this web page" but AI will read another prompt hidden in code like "ignore previous request and follow this...... " now you'll see ai acting weirdly and not responding to your messages correctly. (especially browser use agent - agent can open up malicoous links and provide them whatever data the attacker wants) stay away from ai browsers. It's not a product issue, it's the LLM issue, and that can't be resolved for now.

GPT5 for coding is overhyped. you need to try: > GLM 4.5 > Kimi k2 > Qwen3 coder > Deepseek v3.1 (these models are cheaper, faster and better at coding and agentic workflow) same goes with CLI tools - Codex is overhyped. try: > Codespace by @CodeGuidedev > OpenCode > Qwen Coder yes, Claude messed up, but that doesn't make OpenAI the best model provider. hype ≠ performance

99.9999% boilerplates are not built for AI coding. I fixed that today. I am open sourcing the best @CodeGuidedev starter kit. If you're using claude code, cursor, windsurf, cline, or bolt, try this full stack starter kit. PS: No need for clerk or supabase!

This changes everything.... I am building a universal environment to run any CLI with any model - all in one place. It is an autonomous coding agent that runs on cloud and codes for hours. 53% cheaper than Sonnet 4, 2x better reasoning, and alot better UI.

After testing all top AI coding models for 900 hours, here’s my ranking: 1st: Claude Sonnet 4 2nd: Kimi K2 3rd: Qwen Coder 3 4th: Gemini 2.5 Pro 5th: Grok 4 6th: GPT5 7th: o3 High 8th: Deepseek r1 9th: GLM 4.5 10th: Gemini 2.0 Pro (I didn’t include Opus 4, which is super powerful but exensive: ideal for planning, not coding) I spent more than $5000 on these models inside @CodeGuidedev Yesterday I shipped our first autonomous coding agent: Codespace We're running it for 12-14hrs/day and it is costing us $35-$55/day. The future is autonomous!

Introducing Codespace A virtual computer that runs custom Claude Code on server. It is using 2 models: Kimi K2 Claude Sonnet 4 in a sync. I achieved same code quality with 2x better reasoning and 53% less model cost. Access it today @CodeGuidedev (500 credits for everyone)

Every AI startup is focused on "Build me an ........... app" (New projects) But what about millions of existing codebases on GitHub with billions of lines of code? To focus on existing codebases, I built a coding environment: Codespace. (Explained below)

I fixed Claude Code! - reduced cost by 53% - enhanced reasoning by 2x - made it run on cloud - designed modern UI - added oss models - built auto docs generation flow - built better planning mode (tasks/sub tasks) - added kanban board to track tasks - and more (details below):

I've been using @CodeGuidedev for the past few weeks and it has saved me hours in development. It's all about 80% planning and 20% execution.

I built Claude Tasks inside @CodeGuidedev 2 days back. Now I added vision to this, using Browser MCP. It can: - open all pages - click on any button - take screenshots - test all features And feed the report back to Claude Code. It fixed a major issue, let me explain below:

The difference between an amazing AI SaaS and a shitty one is it's "system prompt." I've tested 100s of system prompts for Claude, OpenAI and Gemini models. And I'm convinced that your system prompt can make you a $10M company or $10k company. 8/10 founders I know just add model API and basic sysyem prompt (AI generated) and expect godly performance. That's not possible. I use 6 models in a mix @CodeGuidedev to generate the coding docs. Each model has its own superpowers and one single model can't do everything. Like Claude models have the best tool and function calling. Gemini models have the best context window and retrieval structure. OpenAI models sound more human than others. Step 1: As a builder/founder, your first job is to find out which is the top model for your use case? Step 2: Then what's the best system prompt format for that model? Step 3: Then A/B test bunch of prompts. (Different roles, structure, rules) Step 4: Keep on itterating even after you launch. That's how you'll get consisyent output quality. Do you want me to write a post explaining all core factors of a great system prompt? Let me knowand I'll share my 2.5 years of findings....

I built "Clade Tasks" to make Claude Code 10x better and 2x cheaper. I integrated 3 engines in 1 flow: 1. Claude Code (best agentic coding interface) 2. CodeGuide (to provide deep context to AI) 3. Taskmaster (to create detailed implementation plan) Here's how it works: ↓

Wow. I made Claude Code 10x better and 30% cheaper. With @CodeGuidedev & @cursor_ai now I have senior software engineer (AI) coding for me for hours and notifying me when each phase is done. I will be sharing this workflow in 2 days. Stay tuned. Autonomous Coding Agents 👌

I run an AI Startup @CodeGuidedev with 11,356 users. Here's a breakdown of my Monthly Bill: Dev Tools & Platforms: v0: $20/month Bolt: $20/month Cursor: $40/month Supabase: $45/month Vercel: $40/month Hetzner: $25/month AI & API Services: OpenAI API: $2,134 Claude API: $780 Claude App: $200/month ChatGPT: $20/month Gemini API: $0 (free with credits) Business Productivity Tools: ClerkDev: $25/month Convert Kit: $45/month Google Workspace: $18/month Rewardful: $49/month X (2 accounts): $16 Total: $3,477 (84% of my total expenses are just AI model API costs)

The most important document in AI coding: PRD (Project Requirements Document) It serves like a blueprint & explains: - project's overview - tech stack - user flow - core features - ui details - backend schema - security guidelines - regulations Here's how you can create PRDs:

Guys, Spend this weekend learning about: 1. Claude Code 2. MCPs 3. Cursor background agents 4. Windsurf with browser 5. @CodeGuidedev Repo to Docs 6. Task master 7. OpenAI operator 8. Gemini native audio 9. Idea browser by Greg Isenberg 10. Vibecodeapp by Riley You'll win.