Devin AI Is the Future of Coding… Full Tutorial

Why It Matters

Devin’s cloud‑first approach lets developers generate, test, and deploy code without local resources, accelerating development cycles and reshaping the future of AI‑augmented software engineering.

Key Takeaways

• Devin runs full cloud VM, independent of local machine.
• Devin for Terminal offers CLI coding with model selection.
• Devin Cloud can browse, test, deploy, and create PRs remotely.
• Devin Review integrates AI code reviews directly into GitHub pull requests.
• Pricing ranges from free tier to $200/month for enterprise features.

Summary

The video walks viewers through Devin AI, Cognition’s newly expanded coding ecosystem that includes a cloud‑based software engineer, a terminal‑based CLI agent, and an AI‑powered GitHub review tool. After Cognition’s $250 million acquisition of Windsurf, Devin now offers a full suite—from the original cloud VM that can browse, run tests, and push pull requests, to the lightweight Devin‑for‑Terminal that runs locally and lets users pick from multiple LLMs. Key insights include the ability to hand off tasks from a local terminal to a remote VM, seamless GitHub, Slack, and Linear integrations, and a tiered pricing model (free with limits, $20‑$200 per month Pro plans). The presenter demonstrates model switching via the /model command, shows how to automate prompts with flags, and explains session management (/clear, /new) to avoid context‑window degradation. Notable examples feature the rapid generation of a simple HTML landing page using a voice‑to‑text prompt, editing files via the @ symbol, and toggling edit modes (accept edits, bypass, normal) with shortcuts like YOLO and Shift‑Tab. The tutorial also highlights the use of advanced models such as Opus 4.6 versus Cognition’s own SWE 1.6, illustrating performance and cost trade‑offs. The implications are clear: developers can offload heavy compute to the cloud, accelerate code creation and review cycles, and integrate AI directly into existing CI/CD pipelines. As cloud‑native IDEs mature, tools like Devin could reshape how solo developers and teams manage code, potentially reducing reliance on local hardware and speeding time‑to‑market.

Original Description

Get started with Devin for free here: https://devin.ai

Most AI coding tools still run on your machine. Devin is different — it's a full cloud-based software engineer that works completely independently, so you can hand it a task, close your laptop, and come back to a finished pull request. I'll walk you through every part of the Devin ecosystem — including their new terminal agent, the cloud agent, and the review tool — and show you how to actually use them together in a real dev workflow.

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🎞 Video Resources 🎞

CLI Install: https://cli.devin.ai/docs#windows

SWE1.6 Model: https://cognition.ai/blog/swe-1-6https://cognition.ai/blog/swe-1-6

CLI Docs: https://cli.devin.ai/docs

⏳ Timestamps ⏳

00:00 | What is Devin AI

01:41 | Devin for Terminal

03:42 | Basic CLI Usage

05:29 | Using Devin in an IDE

08:33 | Permission Modes

10:12 | Memory

11:14 | Models

13:38 | SWE 1.6 Model

15:11 | Session Management

17:26 | Agents.MD

21:10 | Subagents

26:51 | Handing Off to Cloud

30:20 | Devin PR Review

32:55 | Cloud Secrets & Environment

34:08 | Scheduled Tasks

34:32 | GitHub and Slack Integration

35:13 | Linear Integration Demo

Hashtags

#DevinAI #AICoding #GitHubIntegration

UAE Media License Number: 3635141