What Devin Actually Does (And When It Breaks Your Shit)

AI Development Environment

Devin writes actual code instead of just suggesting completions. Built by Cognition Labs with serious VC funding, it spins up its own cloud environment and tries to ship real features. Think GitHub Copilot but it actually commits shit instead of just autocompleting your variable names.

The catch? It costs money every time it thinks, and this thing thinks way too much about trivial bullshit.

Devin Logo

How This Thing Actually Works (When It's Not Broken)

Devin doesn't run in your IDE like Cursor or GitHub Copilot. It lives in the cloud with its own setup:

AI Coding Environment

The Cloud IDE (Slow But Functional):

  • VS Code clone that feels laggy compared to your local setup
  • Terminal that works but has weird PATH issues sometimes
  • Browser that's useful for testing but can't access localhost obviously
  • File system access that occasionally corrupts binary files
  • Git integration that creates PRs you'll spend 20 minutes reviewing

Real talk: The cloud IDE is serviceable but you'll miss your local development environment. Expect to keep VS Code open anyway for serious debugging.

The Planning System (Sometimes Genius, Sometimes Stupid):
Devin breaks down your request into subtasks before coding. When it works, it's genuinely impressive - like having a junior dev who actually reads requirements instead of immediately asking "what do you mean by user authentication?" When it doesn't work, you get 8-step architectural overhauls because you asked it to fix a typo in a comment.

I watched it burn 3 ACUs planning to add a fucking console.log statement. Three ACUs to plan console.log("debug").

Software Architecture Diagram

Memory That Actually Persists:
Unlike ChatGPT, Devin remembers your codebase between sessions through DeepWiki. It indexes your repo, creates architecture diagrams, and stores project conventions. This actually works well - it won't ask you to explain your database schema every time.

The gotcha: Repo scanning takes forever and crashes halfway through. I lost 2 hours watching it "analyze" a basic React app - it got to 73% and then just... stopped. Plan for 30-60 minutes of "indexing" before Devin becomes useful, assuming it doesn't crash and force you to start over.

The Performance Reality Check

Performance Dashboard

Here's what Devin can actually do, based on benchmarks and my experience burning through ACUs:

SWE-bench Results: 13.86% success rate on real GitHub issues. That sounds terrible until you realize the previous best was 1.96%. Still means Devin face-plants on 6 out of 7 complex issues, but hey - progress.

What I've Actually Seen Work:

  • Simple bug fixes: Works great if the bug is obvious and contained
  • Boilerplate generation: Excellent at creating CRUD APIs, React components, database schemas
  • Code refactoring: Good at applying patterns consistently across files
  • Test writing: Generates comprehensive tests that actually catch bugs
  • Documentation: Surprisingly good at writing technical docs

What Usually Breaks:

  • Complex debugging: Gets lost in large codebases with weird dependency chains
  • Performance optimization: Tried to "optimize" our user lookup query by adding 3 JOIN statements that made it 10x slower. Thanks, Devin.
  • Legacy code: Completely baffled by "creative" legacy patterns - spent 40 ACUs trying to "modernize" a Python 2.7 script that worked perfectly fine for 6 years
  • Integration work: Multiple services = multiple ways to fuck up. Devin once rewrote our entire auth system because I asked it to fix a typo in the login error message. A typo.

The $200 lesson: Start with small, well-defined tasks. Let Devin prove itself before assigning complex features.

Devin 2.0 Updates (The Price Drop That Changed Everything)

When Devin 2.0 launched back in April, it dropped pricing from $500/month to $20 minimum, making it actually affordable for normal developers:

Code Editor Interface

Multiple Devins (Finally): You can run parallel instances now. Useful for having one Devin write tests while another handles the main feature. Just watch your ACU burn rate.

Interactive Planning (Actually Helpful): Devin now shows you its plan before starting work. You can edit the approach, which prevents those "why did you rewrite my entire API?" moments.

Semantic Search (When It Works): The new search actually understands your codebase context. Better than grep, though it sometimes hallucinates function names that don't exist.

Familiar Shortcuts: Cmd+I and Cmd+K work like you'd expect. The IDE feels less alien than the original version.

Reality check: These improvements are solid, but you're still debugging an AI's code. Budget 2x longer than you think for review and fixes.

Integration Reality (Mostly Works, Sometimes Doesn't)

Development Workflow

Devin plugs into your existing tools, though setup can be finicky:

Version Control Integration:

  • GitHub works flawlessly - PRs, branch management, etc.
  • GitLab is supported but occasionally has auth issues
  • Custom Git setups require more hand-holding

Project Management (Hit or Miss):

  • Jira integration is solid for ticket updates
  • Linear works well for small teams
  • Notion integration is basic but functional
  • Gotcha: Devin doesn't understand your team's workflow conventions

Team Communication:

  • Slack integration works but gets noisy fast
  • You'll want to set up a dedicated #devin-noise channel
  • Progress updates are helpful but can spam your channels

Cloud Deployment

Cloud Deployment (Use With Caution):

  • Can deploy to AWS, GCP, Azure
  • WARNING: Never give Devin production deploy access unsupervised
  • Great for staging environments and development deployments
  • Has accidentally nuked test environments - always review deployment scripts

Bottom line: The integrations work but require babysitting. Treat Devin like a junior developer who needs code review, not a senior engineer with root access.

Devin vs The Competition (Real Developer Take)

Feature

Devin AI

Cursor AI

GitHub Copilot

Claude Code

What It Actually Does

Writes entire features while you wait

Helps you write code faster

Autocompletes your typing

Explains code like StackOverflow

Where It Lives

Laggy cloud IDE that makes you miss VS Code

Your actual IDE

Plugin in your IDE

Web chat interface

Monthly Cost

$20-500+ (budget accordingly)

$20 (period)

$10 (cheap)

$0-20 (mostly free)

Success Rate

14% (would get you fired as a human)

50%+ with babysitting

70% useful suggestions

65% helpful explanations

Task Execution

End-to-end autonomous

Human-guided collaboration

Real-time suggestions

Interactive problem solving

Learning Capability

Persistent codebase knowledge

Session-based context

Pattern recognition

Contextual understanding

Integration Depth

Native Slack, GitHub, Jira

Local development tools

IDE ecosystems

Web-based workflows

Memory Persistence

Cross-session knowledge base

Limited context window

Usage patterns

Conversation history

Planning Capability

Multi-step project planning

Task breakdown assistance

Code completion

Problem analysis

Debugging Support

Autonomous error resolution

Collaborative debugging

Error explanation

Bug analysis guidance

Deployment Ability

Full deployment pipeline

Local development focus

Code generation only

Advisory only

Team Collaboration

Slack-based team member

Individual developer tool

Personal assistant

Individual consultation

How to Set Up Devin Without Going Bankrupt

Development Workflow

What You Need Before You Start Burning ACUs

You'll Need These Things:

  • GitHub or GitLab account that's not completely fucked up
  • Slack if you want your team to see Devin's constant status updates (prepare for notification hell)
  • Credit card with a decent limit because ACU pricing adds up fast

Shit You Should Know First:

  • Your tech stack (React, Node.js, Python, whatever) because Devin will ask stupid questions if your project is a mess
  • How your README files work - Devin actually reads them unlike most developers
  • Basic CI/CD stuff so you don't let Devin deploy directly to production (famous last words)

Getting This Thing Running

Repository Setup That Actually Works

Connect your repos and watch Devin spend 30 minutes "analyzing" your codebase. It's building a knowledge base with DeepWiki that includes:

  • Architecture diagrams that sometimes make sense
  • Dependency maps (useful for finding what's actually broken)
  • Code patterns (good luck if your codebase is inconsistent)
  • Commit history context (it judges your commit messages)

The repo scanning crashes about 30% of the time on repos over 1GB. Plan accordingly.

Team Integration (Warning: Notification Hell):
Set up Slack integration if you want constant status updates about every file Devin touches. You'll want a dedicated #devin-spam channel because it's chatty as hell.

Linear and Jira integration works fine but Devin doesn't understand your team's workflow conventions. It'll close tickets it shouldn't and create subtasks nobody asked for.

How to Talk to This Thing So It Doesn't Rewrite Your Entire App

Don't give Devin vague shit like "fix the login system" or it'll rewrite your entire auth flow. Be specific:

Task: Implement OAuth 2.0 authentication for React frontend
Requirements:
- Support Google and GitHub OAuth providers
- Store JWT tokens securely in httpOnly cookies
- Implement automatic token refresh
- Add logout functionality with token cleanup
- Update existing user session management in UserContext.tsx

Interactive Planning (Actually Useful):
Devin 2.0 shows you its plan before burning ACUs. Review this shit carefully because Devin will absolutely plan to refactor your entire codebase if you let it.

Cancel the task if it's planning more than 8 steps for something simple. Trust me on this.

ACU Management (Or: How Not to Get a $500 Bill)

ACU consumption burns faster when Devin gets confused:

  • Simple tasks (bug fixes, configuration changes): 3-8 ACUs
  • Medium complexity (feature implementation): 15-30 ACUs
  • Complex projects (full application development): 40-100+ ACUs

Set spending limits in the dashboard BEFORE experimenting or you'll learn what a $300 surprise bill looks like. I know from experience.

Restart sessions when performance tanks - Devin gets stupid after working too long.

How to Review Devin's Code Without Crying

Treat Devin's PRs like code from that junior developer who's still learning:

  1. Run the tests - Devin claims they pass but sometimes they don't
  2. Code review everything - Devin writes code that looks good but has subtle bugs
  3. Check the docs - Generated docs are usually accurate but sometimes reference functions that don't exist
  4. Security audit - Devin writes SQL injection vulnerabilities like it's getting paid per bug

Keeping Devin From Getting Dumber

Update the Knowledge Base:

  • Fix architectural decisions when Devin gets them wrong
  • Document coding standards after Devin ignores them
  • Add API specs when Devin starts guessing
  • Note debugging procedures after fixing Devin's mistakes

Multi-Project Gotchas:

  • Devin will mix up conventions between projects
  • Branch naming gets inconsistent fast
  • CI/CD configs drift when Devin "improves" them
  • Component libraries become a mess without constant oversight

Production Deployment (Don't Let Devin Touch Prod)

Enterprise Features (Devin Enterprise):

  • VPC deployment for when your security team freaks out about cloud AI
  • SSO integration that sometimes works with your existing auth
  • Audit logging that's useful until you need to debug what went wrong
  • Custom model training that's expensive and marginally better

Security Gotchas I've Learned the Hard Way:
Don't give Devin production access unless you enjoy explaining to your boss why the database got dropped. Stick to staging environments and always review deployment scripts - I've seen it nuke test environments.

  • Run CodeQL or Snyk on everything Devin generates - it writes SQL injection vulns like they're going out of style
  • Lock down your sensitive repos with branch protection - Devin will happily merge to main if you let it
  • Always run npm audit - Devin loves adding random packages with known CVEs
  • Never let it touch production secrets - it'll accidentally log them somewhere

Making Devin Suck Less

Task Scoping (The Most Important Thing):
Break big projects into small, specific tasks or Devin will go off the rails. "Build a user dashboard" becomes a 200-ACU nightmare. "Add profile picture upload to existing user page" works fine.

How to Work With This Thing:

  1. Let Devin write the basic shit you'd assign to an intern
  2. Review it like you're reviewing intern code (because you basically are)
  3. Fix the edge cases Devin missed (there will be many)
  4. Polish the performance issues Devin ignored

This works when you treat Devin like a junior developer who needs constant guidance, not a senior engineer who can be trusted with complex decisions.

Real Questions Developers Ask About Devin

Q

Is this just expensive GitHub Copilot?

A

Hell no. GitHub Copilot autocompletes your typing. Devin fucks off for 30 minutes and comes back with an entire feature, complete with tests, docs, and usually at least one subtle bug.Copilot makes you type faster. Devin writes features while you grab coffee and pray it doesn't break anything. The catch? Copilot costs $10/month and actually works. Devin costs $20-500/month and works maybe 15% of the time on complex problems.Bottom line: Want autocomplete? Use Copilot. Want to experiment with an AI that occasionally ships entire features? Try Devin and budget accordingly.

Q

How much does this thing actually cost? (Spoiler: More than you think)

A

Devin uses ACU pricing which is basically "Autonomous Compute Units"

  • each one costs $2.25 and represents about 15 minutes of AI work.

Here's what I actually spent:

  • "Simple" bug fix: 20 bucks because it rewrote half my component instead of changing one variable name
  • API integration: 60 bucks plus two hours fixing its OAuth implementation that somehow missed the refresh token logic
  • React component: 30 bucks but it generated clean, tested code I actually shipped to prod
  • Database migration: Burned through 100 bucks but it worked flawlessly
  • even handled the edge cases I forgot aboutReality check: Budget 2-3x what you think it'll cost. Set spending limits or you'll get a $300 surprise bill. I learned this the hard way.
Q

Does this thing actually work or just burn money?

A

The official benchmark says 13.86% success on real GitHub issues.

That sounds terrible until you realize that's actually decent for autonomous coding.What actually works:

  • CRUD APIs and boilerplate:

Works great, saves hours

  • Database schemas and migrations: Surprisingly good
  • Test writing:

Generates comprehensive test suites

  • Documentation: Better than most humans at writing docs
  • Simple React components:

Clean, functional codeWhat usually fails:

  • Complex debugging:

Gets lost in large codebases

  • Legacy system integration: Struggles with "creative" legacy patterns
  • Performance optimization:

Doesn't understand your specific bottlenecks

  • Anything involving OAuth: Just do it yourselfReal talk: It's like a junior dev who's brilliant at boilerplate but completely fucking hopeless at debugging race conditions. Set expectations accordingly.
Q

Can Devin AI work with existing codebases and team workflows?

A

Yeah, it plugs into GitHub, GitLab, Slack, Jira, and Linear. Works fine if your codebase isn't a complete disaster.The good news: Devin actually remembers your project conventions and doesn't ask "what's a React hook?" every session like ChatGPT. The bad news: if your code is poorly documented legacy spaghetti, Devin will get just as confused as a new human developer would.Real team experience: Your team will hate the Slack notifications until you set up a dedicated #devin-spam channel. PMs love saying "just let Devin build it" without realizing you'll spend twice as long reviewing its overly clever solutions.

Q

What are the gotchas that nobody tells you?

A

Expensive Gotchas:

  • ACUs burn fast when Devin gets confused and starts refactoring everything
  • "Simple" tasks somehow become 30-ACU adventures
  • You'll spend ACUs having it fix its own mistakes
  • No ACU refunds when it completely misunderstands your requestTechnical Gotchas:
  • The cloud IDE is slow and laggy compared to local development
  • Repository indexing takes forever and sometimes fails on large repos
  • Can't access localhost or internal services (obviously)
  • Performance tanks after extended sessions
  • restart frequently
  • The browser tab crashes randomly and loses your work
  • learned that one the hard wayWorkflow Gotchas:
  • Devin doesn't understand "make it look good"
  • be specific
  • It will happily break working code to "improve" it
  • Slack notifications get noisy fast
  • set up a dedicated channel
  • Review everything
  • Devin writes code that looks good but has subtle bugs
Q

How does Devin handle security and sensitive code?

A

Devin Enterprise provides enhanced security features including VPC deployment, SSO integration, and audit logging.

However, all Devin plans involve cloud-based execution, meaning your code is processed on Cognition's infrastructure. Key security considerations:

  • Code is temporarily stored in Devin's cloud environment during execution
  • All data is encrypted in transit and at rest
  • Enterprise plans offer additional isolation and compliance features
  • Review all generated code for security vulnerabilities before deployment
Q

Should I fire my junior developers and hire Devin?

A

Absolutely fucking not.

Devin is like a junior dev who:

  • Never gets tired or asks for raises ✅
  • Works 24/7 without complaining ✅
  • Writes docs without being asked ✅
  • Can't understand business context ❌
  • Makes the same dumb mistakes repeatedly ❌
  • Costs more per hour than actual contractors ❌
  • Needs constant babysitting ❌What it's actually good for:
  • Generating boilerplate you'd assign to interns
  • Building MVPs and throwaway prototypes
  • Handling tedious refactoring tasks
  • Writing tests (surprisingly good at this)What you still need humans for:
  • System architecture and design decisions
  • Understanding user requirements and business logic
  • Code review and security audits
  • Anything involving production databases
  • Debugging when shit hits the fan at 3am
Q

What happens when Devin gets stuck or makes mistakes?

A

Devin includes error recovery mechanisms and will attempt multiple approaches when encountering issues.

However, when it fails:

  • Review the detailed logs and progress notes Devin maintains
  • Provide specific feedback through pull request comments or Slack
  • Break complex tasks into smaller, more focused subtasks
  • Consider starting a fresh session if performance has degraded
  • Escalate to human developers for complex debugging or architectural guidanceThe key is treating Devin like a junior developer who needs guidance and mentorship rather than expecting perfect autonomous operation.
Q

Can I trust this thing with production code?

A

Short answer: Not without serious code review.Long answer: Devin writes code that looks professional but has subtle bugs.

I've seen it:

  • Generate SQL injection vulnerabilities in "secure" APIs
  • Create race conditions in async code that passed all tests
  • Miss edge cases that crash in production
  • Implement features that work but have terrible performanceWhere it's actually safe in production:
  • Internal tools and admin dashboards (low stakes)
  • Migration scripts (after thorough testing)
  • API endpoints for non-critical features
  • Database schema changes (surprisingly good at this)Where to absolutely not fucking use it:
  • Payment processing
  • hardcoded shipping costs instead of using our rate calculator
  • Auth systems
  • writes SQL injection vulns like it's getting paid per bug
  • Performance-critical paths
  • adds unnecessary await statements everywhere
  • Customer data handling
  • has zero concept of GDPR or data sensitivityRule of thumb: Use Devin to write the first draft, then review it like you're reviewing a junior developer's first pull request. Because that's basically what it is.
Q

How do I actually use this without going bankrupt?

A

Don't Be Vague (Expensive Mistake #1):

  • "Make the login better" = 30 ACUs of random refactoring
  • "Add OAuth login with Google, preserve existing sessions, use our Button component" = 8 ACUs of exactly what you wantedSet Spending Limits (Expensive Mistake #2):
  • Go to settings and set a daily ACU limit
  • Start with $50/day and adjust based on usage
  • Seriously, do this before experimentingTask Scoping (Expensive Mistake #3):
  • One feature per session
  • "Build a user dashboard" = budget disaster
  • "Add user profile picture upload" = manageable taskReview Early and Often:
  • Check the execution plan before Devin starts
  • Cancel if it's planning to rewrite your entire app
  • Better to restart than let it go down a rabbit holeGolden Rule: Treat it like an expensive contractor. Be specific, set boundaries, and review their work.

Essential Devin AI Resources and Documentation