How Developers can Use AI in the Terminal

Coding with AI isn't just about speed anymore. It's about strategy. And Claude Code (and OpenAI’s Codex) might be the first agent that actually thinks like a teammate. Not a chatbot that happens to write code. But a programmable co-worker with real autonomy. Here's how the engineers at Anthropic actually use it: They write README-style memory just for Claude → A file called CLAUDE.md sits in your repo and teaches the AI how to work with your stack, your tools, and your team's quirks. They set up slash commands for reusable workflows → Think: /fix-linter-warnings or /triage-open-issues. These are markdown prompt templates you drop into .claude/commands and reuse across sessions. They use Claude like a project lead, not an intern → The best engineers don’t ask Claude to just "write code." They: Ask it to read and understand files Prompt it to "think hard" or "ultrathink" before building Then ask it to write a plan before shipping code They automate onboarding → New hires just start talking to Claude. Instead of asking a team lead, they ask: "How does logging work here?" "Why are we using X over Y on line 134?" "How do I add a new API route?" They run multi-agent workflows → One Claude writes code. Another reviews it. A third patches it. Each runs in a separate terminal or worktree. They even automate Claude itself → Headless mode lets you run Claude programmatically inside CI pipelines, git hooks, or across massive code migrations. — Agentic coding isn’t just about making an AI write functions. It's about making it collaborate across your entire stack. (👉 Credit to Anthropic's engineering blog for this breakdown) — Enjoyed this? 2 quick things: - Follow me for more AI automation insights - Share this a with teammate 

I just watched a developer build and ship an entire MCP server, without typing a single line of code. And he did it all... by prompting an LLM in the terminal. Here’s what blew my mind: • He set up a new MCP server in TypeScript, live. • Extended it to connect with GitHub, fetch issue data, and return dynamic metadata. • Debugged errors in real time by just describing the bug to the AI. • Never opened an IDE. Never manually touched a config file. • Just talked to the terminal. And the terminal coded. Welcome to the new paradigm: prompt-driven development. This tool is quietly redefining how developers work: > Native, intelligent terminal as your AI coding environment. > Built-in planning, context memory, voice prompting, and multi-model orchestration. > Git-integrated, agent-powered workflows from idea to working software. > No boilerplate. No Stack Overflow rabbit holes. Just raw intent → real output. This is where terminals are heading for the future. If you’re a dev, AI builder, or just curious about vibe coding, you should try this terminal.

Google just dropped an open-source AI CLI tool—and it might change how devs work from the terminal. The new Gemini CLI lets you run Gemini 2.5 Pro directly from your terminal, with: ✅ 1M token context window ✅ Real-time Google Search grounding ✅ 60 requests/min and 1,000/day for free ✅ Fully open source (Apache 2.0) But this isn’t just another AI wrapper. Google’s making a real play for developer trust: ↳ Open-source code ↳ Extensibility via the Model Context Protocol ↳ Integration with Gemini Code Assist for those using VS Code It’s rare to see this level of access—especially from a company like Google. What stood out to me most: 📌 You can script Gemini into automated workflows 📌 You can ground your prompts with real-time search 📌 You can extend it with your own tools This feels like Google’s answer to GitHub Copilot CLI and OpenAI’s Assistants API—only more open and much more generous on the free tier. I’ll be testing it out soon—curious to see how it performs with code generation, docs, and content scripting tasks from my own workflow. 👀 Anyone else trying it? How’s it compare to other agents in your terminal? Full article: https://lnkd.in/gfru5KrN

Claude 3.7 Sonnet & Claude Code: AI That Works Like You Do 🔧💡 Most AI tools force a choice: fast answers or deep reasoning—rarely both. That doesn’t work for real-world tasks, especially in coding. Anthropic’s latest update fixes that. 🧠 Claude 3.7 Sonnet adapts to the task: ⚡ Quick mode for instant responses. 🤔 Extended reasoning for more thoughtful answers. 🎯 API users control thinking tokens (up to 128K) to fine-tune speed vs. depth. 💻 For developers, this means AI is actually useful in workflows: ✅ Understands large codebases—better at refactoring, debugging, and architecture. ✅ Executes full-stack updates more reliably—fewer mistakes, better planning. ✅ Handles structured tasks like test-driven development with more accuracy. ⚙️ Claude Code moves AI beyond chat into your terminal: 🔹 Reads, edits, and tests code. 🔹 Automates GitHub commits, debugging, and reviews. 🔹 Speeds up development without getting in the way. 🌍 Available across all Claude plans, with integrations into Anthropic API, Amazon Bedrock, and Google Cloud Vertex AI. (Extended reasoning mode is for paid tiers.) 🔒 45% fewer unnecessary refusals and stronger security against prompt injection attacks make it more reliable. AI isn’t just answering questions anymore—it’s working like a teammate. #AI #Anthropic #Claude37Sonnet #ClaudeCode #DeveloperTools #MachineLearning

I've worked in AI since 2016, so my mind rarely gets blown by it. This week, my mind was blown. Like all of you, I've been playing with codegen tools quite a bit, building stuff locally on my computer but never really putting anything into 'production'. It was the actual deploying of the code that still was old school - until I came across Amazon Q CLI. This amazing little widget now only let me build a functioning website in one prompt, it let me actually deploy it across a CDN and be publicly accessible in one prompt! Despite AI advancements, 33% of developers cite DevOps complexity as a hurdle, particularly in legacy systems and cloud migrations. 41% of organizations still separate Dev and Ops roles, perpetuating bottlenecks in CI/CD pipelines. While AI has alleviated syntax-level coding challenges, the next frontier lies in tools that automate system-level integration – particularly for legacy modernization and cloud transitions. Tools that combine context-aware code generation with deployment orchestration (e.g., auto-generated Terraform modules for AWS), are going to be what I think it will take for founders to deploy revenue-generating MVPs without having to be super technical. Heck - if I can do it you can do it. I strongly encourage everyone to just spend 30 minutes to get Q CLI up in their terminals, and try actually deploying something! It is... shocking how easy it is now. https://lnkd.in/g-ES2Snm Amazon Web Services (AWS) | AWS Startups | #codegen

Claude Code just transformed my entire development workflow. Here's why every developer should care. Three weeks ago, I was about to spend a hefty sum on Cursor + Claude Opus Max. The results were great, but my wallet was going to cry. Then Claude Code dropped. The switch took 2 hours. The impact? Immediate. → One command install: npm install -g @anthropic-ai/claude-code → Navigate to your project root, type "claude" → Connect your Anthropic account → Start coding like you've never coded before What changed: • Development speed: 10x faster • Code quality: Dramatically improved • Cost: A fraction of my previous setup • Learning curve: Practically zero My new workflow: ✅ GitHub Issues for roadmap tracking ✅ Claude Code for development ✅ GitHub Actions for CI/CD ✅ CodeRabbit for extended reviews (though Claude handles PR reviews surprisingly well) The reality check: Yes, Claude Max ($200/month) unlocks the full potential. But even the base plan delivers incredible value. Bottom line: If you're a technical founder, senior dev, or startup building products, this isn't just another tool. It's a competitive advantage. The text-based interface hits different, too (shoutout to my IBM mainframe days 🤖). Anthropic, thank you guys! You rock! What's your current AI coding setup? Drop it below, as I'm curious to see what's working for others. No sponsorship, no affiliate links. Just a developer who found something game-changing and had to share. #ClaudeCode #AI #Development #Productivity #TechFounders #Coding #Anthropic #DeveloperTools