TL;DR: Quickstart Guide
- Models & Roles:
- Planning & Brainstorming: GLM 4.5, Kimi K2, the newest Qwen3 Coder and 2507's, Gemini 2.5 Pro (AI Studio), o4-mini (OpenRouter), Claude 3.7 or 4 (Poe), if you have OpenAI Playground configured for the 250k free daily tokens, I recommend using those up with o3 and GPT 5.
- Problem Solving & Debugging: GPT-5 (free tokens in Playground), GLM-4.5 (it seems to be a genius, about Claude 4 level) Claude 4 (free daily on Poe)
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Actual Coding: GPT-4.1 via Cline; fallback to Claude 3.5.. or the new ones: Qwen3 Coder, Instruct, 2507, GLM 4.5, Kimi K2.
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Key Tools:
- VS Code
- AI Code Prep GUI – locally scan & curate only the files you need, saves so much time
- Cline (VS Code agent) for step-by-step code execution
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Free web chats for multi-perspective advice: Poe.com, ChatGPT, Grok, Deepseek, Perplexity, OpenAI Playground, AI Studio w/Gemini 2.5 Pro, Openrouter, duck.ai
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Quick Workflow:
- Run AI Code Prep GUI to bundle your (if already existing) project's relevant files.
- Paste that context into your favorite web chat models for planning & debugging.
- Ask one model to "Write me a detailed Cline prompt for these tasks," then refine it (e.g. in ChatGPT).
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Copy/paste into Cline set to GPT-4.1 to generate or fix code; if it stalls, switch to Claude 3.5.
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Cost-Saving Hacks:
- Enable "share data" in OpenAI Playground for 250k free GPT-4.5, o3, (both genius expensive models) & 2.5 MILLION free tokens/day for o4-mini, o3-mini!!
- $10/mo GitHub Copilot subscription gives you rate-limited access to Claude models via Cline
- Pay-as-you-go on OpenRouter for o4-mini, Claude 3.7, and other new models
Latest Model Updates (Aug 2025)
💰 Budget-Conscious: Getting Max Value
GPT 4.5 (DISCONTINUED)
- This model was discontinued.
o3
- Possibly equal to Claude 4 in abilities, really great at fixing hard problems, genius level. Throw your entire codebase in here with AI Code Prep GUI
- Free Tokens: 250k daily when you enable data sharing in Data Controls/Sharing settings
o4-mini
- Not as smart as o3, but very very good, like o3's younger brother
- Free Tokens: 2.5 million daily when you enable data sharing in Data Controls/Sharing settings
Gemini 2.5 Pro
- Free to use in AI Studio. Also very good at fixing hard problems
- Best For: Complex debugging and architectural planning
Deepseek R1 0528
- Super smart model with enhanced reasoning capabilities
- Availability: Free on Deepseek's web interface
🚀 Premium: Fix Problems NOW
Claude 4 Sonnet
- The mega genius, can fix most problems in one shot if you provide enough context (AICodePrep is what I use). These also seem to be the best writers, best at everything really.. the secret sauce
- Use Case: When you absolutely need it fixed right the first time
Claude 4 Opus
- $75 per million tokens, haven't tried it yet myself but I hear its a super mega genius like Sonnet but even better, magic sauce
- Performance: Rumored to be the ultimate problem solver
Solid Worker Models
These models listen to instructions really well and do as they are told:
GPT 4.1
- Use the above smarter models for abstract high level design or to fix problems, then 4.1 to make changes. You can cut and paste output from anywhere else right into Cline with 4.1 to do the coding.
Claude Sonnet 3.5
- Good solid model for coding and editing, slightly slower vs 4.1 but very reliable.
Deepseek v3
- Pretty good and very cheap for a model that can do edits/code/agent work.
OpenRouter Free Models
- Drag the price filter to $0 on OpenRouter to see free models available for testing. Worth experimenting with new ones as they become available.
Free Claude 4: lmarena.ai, and More
Claude Opus 4 and lmarena.ai
- lmarena.ai offers free access to Claude Opus 4 and Sonnet 4 and others.
- Any free usage of anything by Anthropic is worth saving, remembering, and using. When all else fails, or when you need to get stuff done, perfectly, and now, choose Claude 4 Sonnet or Opus.
Latest Model Updates (2025)
Claude Sonnet 4 & Opus 4
- Status: Just released and proving to be the best models for everything
- Performance: Fixed some bugs today that were hard for most other models to handle
- Cost: More expensive, but accessible through GitHub Copilot $10/month (rate limited)
- GitHub Copilot Value: The cheap $10/mo GitHub Copilot subscription seems to be giving me a very generous amount of Claude 4 uses through the VS Code LM API. I keep using it as my main model in Cline/Roo Code, and it has not run out yet. I either use GPT 4.1 or Claude 4, been waiting for it to limit me but it hasn't yet (they say that GPT 4.1 is unlimited). I always hate subscriptions for anything, but this particular one is insanely good value.
- Strategy: Save Claude 4 for tough problems, use GPT 4.1 for regular coding
GPT 4.5
- Performance: Excellent for bug fixing and complex problem solving
- Token Limits: 250k tokens daily if you allow data for model training
- Cost Hack: Free under the 250k token limit when you enable data sharing in settings
- Use Case: Great for using AI Code Prep tool to analyze entire codebases
Current Coding Workflows that I use (2025)
For New Projects:
- Planning Phase: Type your idea(s) and ask several AI's in web chat's to brainstorm with you and help you figure out a real plan, into notepad or a blank file. - this is just so you can paste into multiple web chat's
- Multi-Model Consultation: Paste into two or three of these models web chat's for different "doctor's opinions":
- Gemini 2.5 Pro (free)
- GLM 4.5 (free and unlimited!)
- Qwen3-Coder or one of the -2507 models
- o4-mini on OpenAI Playground to use the free 2.5mil daily tokens
- Claude 4 on Poe.com (free daily credits)
- Refinement: Go back and forth to fine-tune details
- Task Generation: Have model write a PRD (Product Requirements Document) markdown file or similar, like "APP_REQUIREMENTS.md" or website requirements etc with a list of all the things it must have. Then have it write step-by-step task list with subtasks, for an AI coding agent to implement. Save this to a new project folder - and you might want to run 'git init' if you use Git.
- Execution: Copy/paste into Cline (or just tell it "your task is in the project requirements .md file") set to GPT 4.1 for 'act' mode (or Qwen 3 Coder, GLM 4.5 Flash.. also free currently and excellent). If you prompt the web models to break a big project into small enough sub-tasks, then you can get away with using a cheaper implementation/agent model. "Cheap" right now for me is GPT 4.1 using the Github Copilot API (I don't even use the actual copilot much I just like the unlimited 4.1 - also every month you get credits to use all the top expensive models like Opus/Sonnet 4 which are great for top level planning, you can also use copilot's own web chat interface)
For Problem Solving, fixing hard bugs:
- Load AI Code Prep GUI tool (type 'aicp' in terminal) and type the problem into the prompt box, look at which files are already selected to make sure that it looks good for context (when in doubt, add more code files, usually it helps)
- Set the options to 'Add prompt to top' and ''..bottom' is usually how i leave that setting.. it seems like it would be wasteful but it seems to help focus the model on the problem better than only having the prompt on top or bottom
- If I am confident that it will be able to fix my problem I will click one of the preset buttons for Cline/Roo Code or one for an agent prompt which just pastes some extra text to the end of the current text in the prompt box, telling the AI to write a solution for an agent to implement the changes (experimenting with this will be the easiest way to understand what it is for - it just saves you from typing that)
- Click the "GENERATE CONTEXT!" button, and if its a hard problem.. i'll paste it into Gemini 2.5 Pro, GLM 4.5, Kimi K2, Qwen3 Coder or 2507 Thinking.. all on their native web chat website (Qwen has an annoying web chat where it pastes it into a file so you have to tell it to read the file)
- Sit back and watch several solutions stream in, bathroom break. Using several AI's from several different companies is a great way to get some diversity in the outputs and it is better than for example.. just using 5 OpenAI models or just using Anthropic's models. It reminds me of how people will have healthier kids if they mate with people from different cultures/different parts of the world. It just produces a faster / better solution. You can even cut and paste the outputs of all of these into Gemini 2.5 Pro (its got such a large context window to handle it) and have AI again compare them all and produce a final "best of all" solution.
- Problem solving like this will often "one shot" a perfect solution, instead of letting agents run around your file system trying to slowly figure out solutions with all the tools and MCPs and other stuff it is often just faster to do it this way!
Task List & Test Driven Development (Coming Soon)
Test Driven Development & Task Lists:
Coming to this guide soon (these other topics)Have the AIs create a detailed task list for Cline, Roo Code, Trae agent, to execute. You can also instruct Cline or Roo Code to use a markdown file to keep track of everything it does, checking things off as it completes them. This will make it easier to track and ensure nothing gets missed.
For now, you can experiment by having a model generate a checklist in markdown, and then ask Cline or Roo Code to update the file as tasks are completed.
Money-Saving Hacks
- GLM 4.5, Kimi K2, o3: 250k tokens free daily by enabling data sharing for model training
- Cheaper Models: 2.5 million tokens on o4-mini (excellent model), 4.1-mini/nano, GPT 5 Mini
- GitHub Copilot: $10/month gives access to new Claude models (rate limited) and GPT 4.1 UNLIMITED for agent work
- Qwen3 has new models Coder and 2507's
- Poe.com: Free daily credits for every type of model
- Web Interfaces: Use free web chat interfaces for planning and consultation
Coming Soon: Live Reddit Data & Insights
Live Reddit Data Scraping & Daily Insights:
A new feature is coming soon: live scraping of Reddit data and daily updated info about how people are using AI models. This will include detailed usage breakdowns, data visualizations, and new insights into real-world coding workflows and trends.