Title: AI Coding Tip 010 - Access All Your Code | BestBlogs.dev
URL Source: https://www.bestblogs.dev/article/25376acd
Published Time: 2026-03-10 20:32:15
Markdown Content: _Stop copying code chunks. Start letting AI agents work directly with your files._
> TL;DR: Use terminal-based AI tools to give your assistant direct access to your local files and test suites.
Common Mistake ❌ ----------------
You copy code snippets into a web browser chat likeChatGPT, Claude, or Grok.
\ You manually move code back and forth and give small chunks of code, filling up the context window.
\ You lose the context of your folder structure, relations among modules, and the whole architecture.
\ The AI often (wrongly) guesses your project layout and hallucinates.
\ When you do this, you get inconsistent code and outdated logic.
Problems Addressed 😔 ---------------------
* Context Tax:Manual copying wastes your focus. * Hallucinations:The AI suggests libraries you don't actually have. * Isolated logic:The assistant doesn't know if your code even builds. * Manual effort:You have to run every test and fix every error yourself.
\ You're basically playing assistant to the AI, running around doing the busywork.
How to Do It 🛠️ ----------------
Download aCLIor _IDE_ tool like Claude Code, OpenCode, Windsurf, or similar, and let it access _ALL_ your codebase.
\ (You'll need to check compliance, set up safeguards, and respect any NDAs).
\ Open your terminal and start an interactive session. Let the agent navigate through all your code.
\ Describe what you want to accomplish at a high level and delegate to the orchestrator agent.
\ Review theproposed planin the terminal.
\ Approve the changes to update your local files.
\ Let the agent run your tests and fix failures automatically.
Benefits 🎯 -----------
Full project context through local AST and RAG indexing.
\ Self-healing code through automated shell feedback loops.
\ Multi-file edits in a single prompt.
\ Parallel development using multiple agent instances.
\ Iterative incremental learning and experimentation. Baby steps.
Context 🧠 ----------
We were all blown away when ChatGPT came out.
\ Iwrote an article 2 days after its release, understanding it was agame-changer.
\ Even people like me who had been working with earlier GPT models.
\ Four years later, you still see many developers coding this way.
\ It works for small algorithms and functions, but falls apart for real software engineering.
Prompt Reference 📝 -------------------
Bad Prompt
// Please fix the login bug in this snippet:async function loginUser(email, password) {
const url = 'https://api.penrosebrain.com/login';
try {
const response = await fetch(url, {
method: 'PUT',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ email, password }),
});
} catch (error) {
console.error('There was an error:', error.message);
alert(error.message);
}
}
Good Prompt
// opencode: "Create a failing text, fix the login bug, run tests,
// Ensure it passes the new test and all the previous ones
// Create a Pull Request so I can review itasync function loginUser(email, password) {
const url = 'https://api.penrosebrain.com/login';
try {
const response = await fetch(url, {
method: 'PUT',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ email, password }),
});
} catch (error) {
console.error('There was an error:', error.message);
alert(error.message);
}
}
Considerations ⚠️ -----------------
CLI agents have a learning curve.
\ Alwaysreview all changesbeforecommittingthem.
\ Use a sandbox environment if you run untrusted code.
Type 📝 -------
[X] Semi-Automatic
Limitations ⚠️ --------------
Don't use this for tiny, one-off scripts.
\ Web chats work better for creative brainstorming or generating images.
\ High token usage in long sessions can drive up your API costs.
* Complexity
Level 🔋 --------
[X] Intermediate https://hackernoon.com/ai-coding-tip-003-force-read-only-planning?embedable=true https://hackernoon.com/ai-coding-tip-006-review-every-line-before-commit?embedable=true
Connect external data using the Model Context Protocol (MCP).
\ Run local models if you need 100% privacy.
Conclusion 🏁 -------------
Move your AI assistant to the terminal.
\ You'll work faster and make fewer mistakes.
\ When you delegate the boring parts, you can focus on architecture and high-level design.
More Information ℹ️ ------------------- https://www.firecrawl.dev/blog/why-clis-are-better-for-agents?embedable=true https://aider.chat/?embedable=true https://code.claude.com/docs/en/overview?embedable=true https://www.builder.io/blog/opencode-vs-claude-code?embedable=true https://www.augmentcode.com/tools/ai-coding-assistants-for-large-codebases-a-complete-guide?embedable=true https://blog.marcnuri.com/boosting-developer-productivity-ai-2025?embedable=true https://opencode.ai/docs/?embedable=true
Also Known As 🎭 ----------------
Agentic Coding
Terminal Agents
Autonomous Coding Loops
Tools 🧰 --------
Claude Code, OpenCode, Aider, Codex CLI.
Disclaimer 📢 -------------
The views expressed here are my own.
\ I am a human who writes as best as possible for other humans.
\ I use AI proofreading tools to improve some texts.
\ I welcome constructive criticism and dialogue.
\ I shape these insights through 30 years in the software industry, 25 years of teaching, and writing over 500 articles and a book. *
This article is part of the AI Coding Tip series.
[https://maxicontieri.substack.com/p/ai-coding-tips]()