Table of Contents
- 🛠️ Pick the Right Model for the Right Job
- 🛡️ Tools That Respect Your Control and Context
- 🤖 Use Agents Strategically with AI Model Triaging
- 🔥 Tap into the Cutting Edge—all for Free
- 📋 Workflow Cheat Sheet: The Dev's Edge
🛠️ Pick the Right Model for the Right Job
- GLM 4.5 is currently stealing the spotlight in open-source AI coding. It's now holding the crown that once belonged to Kimi K2 and Qwen 3 — according to recent benchmarks.
- Across the coding board:
- Kimi K2 edges ahead on SWE-bench with a 65.8% score and a 93% success rate on real dev tasks.
- GLM 4.5 and Qwen 3-Coder follow at ~64.2%, though Qwen's massive context window (256K tokens) makes it a powerhouse for large codebases.
- In practice, developers on forums say: > "You should try GLM 4.5; it's better in practice than Kimi K2 and Qwen3 Coder, but it's not getting much hype."
Use GLM 4.5 for general-purpose tasks, Kimi K2 when you need dependability, and Qwen 3-Coder for big projects needing deep context.
🛡️ Tools That Respect Your Control and Context
-
AI Code Prep GUI: Your local savior when AI agents overload context or miss the mark. It scans your project folders (minus junk like
node_modules), lets you pick exactly which files to send to the AI, and neatly formats them. It's a shield against "AI slop." - Cline: Open-source, client-side, and totally transparent. It plans, explains every decision, integrates with your own models, and never leaks your code. Built for secure teams and curious solo devs alike.
🤖 Use Agents Strategically with AI Model Triaging
Build a triaged pipeline:
- Use AI Code Prep to curate what's essential.
- Send the curated prompt to GLM 4.5 for fast, strong general help.
- Reserve Kimi K2 or Claude-level models for critical reasoning or tough bugs.
- Feed validated snippets into Cline for execution—review every edit.
🔥 Tap into the Cutting Edge—all for Free
- GPT-5 from OpenAI is now available for free (with usage limits). It brings huge context (256K tokens), faster reasoning, and better code outcomes—no extra cash needed.
- Google's Jules, an AI coding agent built on Gemini 2.5 Pro, is now public. It can run tasks in parallel, visualize test results, and link to GitHub Issues—ideal for complex workflows.
-
Gemini CLI + GitHub Actions gives you free-tier agentic power right inside your repo: automate reviews, prioritize issues, and even generate tests via
@gemini-cli—all with strong context awareness.
📋 Workflow Cheat Sheet: The Dev's Edge
| Step | What You Do | Tool |
|---|---|---|
| 1 | Curate essential context | AI Code Prep GUI |
| 2 | Write or refactor code | GLM 4.5 (free), GPT-5 when available |
| 3 | Handle tough logic or planning | Kimi K2 or Claude-type models |
| 4 | Execute edits with transparency | Cline |
| 5 | Add agent-informed automation | Jules / Gemini CLI in GitHub |
This isn't AI magic—it's smartly orchestrated band with free tools. You're not outsourcing your brain; you're stacking models strategically, curating context like a chef, and keeping full control of your code. Walk in confidence: you're running a pro-tier AI dev stack, no wallet required.
If you found this helpful, consider giving it a like or repost. Thank you for reading and have a great day 😉👍
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