What Engineers Actually Use ChatGPT For

ChatGPT Interface

Look, ChatGPT is just the AI that happened to work when everyone tried it in November 2022. Now it's got 800 million weekly users because, surprisingly, it doesn't suck at most things you throw at it. Engineers actually find it useful, unlike most AI hype that promises the world and delivers garbage.

GPT-5 dropped in August 2025 and it's supposed to be smarter, but it's brand new so expect weird shit. Had it catch a missing comma that took me 2 hours to find manually.

What Actually Works

Code Debugging

Debugging Code: When your error makes no sense and Stack Overflow has nothing useful, paste it into ChatGPT. It'll usually spot the obvious shit you missed. Spent forever on some broken JSON config file - turned out to be a missing comma. Should've just pasted it into ChatGPT first.

Explaining Legacy Code: Drop in some horrible inherited codebase and ask "what the hell does this do?" Pretty good at breaking down complex functions, especially the kind written by developers who thought comments were optional. Works well with multiple programming languages and can explain architectural patterns.

Writing Boilerplate: Saves hours on tedious CRUD operations, API endpoints, and config files. Not perfect but gets you 80% there. Always review it though - I've seen it generate code that compiles but does the opposite of what you asked.

Research and Documentation: When you need to understand a new framework or library quickly, it's faster than reading docs. Handles images too, so you can screenshot error messages or architecture diagrams. Pretty solid for technical documentation analysis.

AI Performance Chart

The Reality Check

Free tier is basically unusable during peak hours - you'll hit limits fast. Plus subscription ($20/month) is worth it if you use it daily. Pro tier ($200/month) is expensive but necessary for heavy usage.

Version-Specific Gotcha: Can't control which model responds - sometimes fast, sometimes makes you question your life choices while it "thinks" for 30 seconds. Frustrating as hell when you need consistent outputs.

API Costs Reality Check: For a chat app with moderate traffic, expect anywhere from fifty bucks to holy-shit-five-hundred depending on usage. Monitor your usage or prepare for budget meetings when you get surprise bills. Image processing costs 10x more than text, and failed requests still cost money.

Context Limits: Paste in a big codebase and watch it lose its mind. Context gets fuzzy after about 50KB of code, not the marketed limits. Start fresh when it stops making sense.

People actually use this stuff - 2.5 billion daily prompts aren't just hype. Just don't expect it to replace thinking, and always double-check anything important.

ChatGPT vs Major AI Assistants - Real Talk

Feature

ChatGPT

Claude

Gemini

Copilot

Actually Works?

Usually

Follows orders well

Hit or miss

Good for MS stuff

Free Tier Reality

Useless at peak hours

Decent if light usage

Works but limited

Tied to Edge browser

Monthly Cost

$20 Plus, $200 Pro

$20 Pro

$20 Advanced

$20 Pro

Context Length

128K tokens

200K tokens

1M tokens (lol)

128K tokens

Image Analysis

Pretty good

Actually great

Sometimes works

Basic but improving

Code Quality

7/10

  • always review

8/10

  • best for instructions

5/10

  • inconsistent

8/10 for VS Code

Web Browsing

Works when it wants to

Nope

Real-time search

Bing integration

Voice Chat

Advanced Voice is solid

None

Voice input only

Basic voice

Plugins/Tools

Custom GPTs everywhere

Limited

Extensions exist

GitHub integration

Can Think Deep?

GPT-5 reasoning mode

Built-in reasoning

"Advanced" reasoning

Not really

User Count

800M weekly

Growing fast

Google's pushing it

MS employees forced

Getting Started (When Everything's Broken)

ChatGPT Desktop App

How to Actually Use This Thing

Web Interface: Go to chatgpt.com and start typing. Works in any browser but Chrome/Edge perform best. Can upload files (PDFs, images, code), generate images with DALL-E, and access thousands of custom GPTs people have built. Covers most use cases.

Mobile Apps: iOS and Android apps are solid. Voice mode actually works well - you can have conversations while walking or driving. Camera integration lets you photograph error messages or whiteboard diagrams. Surprisingly capable for development work on mobile.

API Integration

API Access: Developer API costs about $2.50 per million input tokens, $10 per million output tokens for GPT-4o. Sounds cheap until you realize a medium conversation burns through 10K tokens. Check the API docs before building anything serious.

Pricing Reality Check

Free Tier: Basically demo mode. Hit limits during busy hours (noon-2pm, 7-9pm). Response times slow to a crawl when servers are loaded. Good for trying it out, useless for actual work.

ChatGPT Plus ($20/month): This is the real product. Unlimited GPT-4o, priority response times, voice mode, image generation. If you use AI daily, just pay the $20.

ChatGPT Go: New cheaper tier - somewhere between free and Plus. Not clear what you actually get yet. Wait for more details before committing.

ChatGPT Pro ($200/month): Access to GPT-5 and o1 reasoning models. Only worth it if you're doing serious research or your company is paying. Most engineers don't need this.

Enterprise Plans: Expensive enough that procurement will have opinions. All the bureaucratic checkboxes your security team demands.

Real Implementation Patterns

Individual Developer Workflow:

  • Debug errors when Stack Overflow fails
  • Generate boilerplate code and config files
  • Explain legacy codebases you inherited
  • Research new frameworks and libraries
  • Code reviews for solo projects

Team Usage:

  • Shared custom GPTs for common tasks (API documentation, code review templates)
  • Collaborative debugging sessions
  • Documentation writing and editing
  • Meeting summarization and action items

Company Integration:

  • API integration for customer support
  • Automated code review comments
  • Documentation generation from codebases
  • Internal knowledge base queries

Performance Metrics

Performance Truth (September 2025)

GPT-5 Performance Claims: OpenAI says it's faster but honestly I can't tell the difference for debugging. Where it does help: explaining complex architecture diagrams and handling larger codebases without losing context. Where it's still garbage: anything involving recent framework updates or niche libraries.

Hallucination Reality: Still makes shit up, especially for recent events or niche technical details. Seen it confidently explain APIs that don't exist and cite Stack Overflow threads that were deleted years ago. Always verify important information.

Context Window Limits: Context gets fuzzy after about 50KB of code, not the marketed limits. Paste in more than that and watch it completely lose track of what you're asking about.

Response Consistency: Same question can get different answers. This isn't a bug, it's how LLMs work. Probabilistic, not deterministic. Frustrating when you need consistent outputs for production scripts.

Hidden API Costs: Image processing costs 10x more than text. Function calls count as extra tokens. Conversation memory adds up fast. Failed requests still cost money. Monitor your usage or prepare for $5K surprise bills.

Getting Started Pro Tip: Start with simple queries, build complexity gradually. When it stops making sense, start a fresh conversation. Don't fight with it for hours - move to a new chat.

Questions Engineers Actually Ask

Q

Why does ChatGPT give different answers to the same question?

A

LLMs are probabilistic, not deterministic

  • they're not databases. The same question can get different responses based on context, model temperature, and random chance. This is normal but fucking annoying when you need consistent outputs.
Q

How expensive is the API really?

A

Depends on your usage. For a chat app with moderate traffic, expect $50-500/month. For heavy automation, costs explode fast. Monitor usage carefully or prepare for bill shock

  • seen companies get $5k surprise bills when they didn't realize image processing costs 10x more than text.
Q

Can I trust ChatGPT for production code?

A

Hell no. It's great for boilerplate and explaining concepts, but always review everything. I've seen it generate code that compiles but does the opposite of what you asked. Use it to get started, not to ship.

Q

What's actually different about GPT-5?

A

GPT-5 launched August 2025 with supposedly smarter reasoning and faster responses. Reality: it's brand new so expect bugs and weird behavior. The unified architecture adds complexity you can't control.

Q

Why does the mobile app crash so much?

A

Voice mode works great until you're in a parking garage or anywhere with spotty cell service. Then it just dies and you lose your entire conversation. Always screenshot important outputs before going underground.

Q

Is the free tier actually usable?

A

No. It's demo mode. Hits limits during busy hours (noon-2pm, 7-9pm EST), response times crawl, and you get deprioritized. Good for trying it out, useless for real work. Just pay the $20/month Plus if you use it regularly.

Q

How big can my context window actually be?

A

Context gets fuzzy after pasting in a big codebase. Long conversations lose coherence. Start fresh when responses become irrelevant

  • don't fight with it for hours.
Q

Can it browse the web reliably?

A

Sometimes. Web browsing works when it feels like it. Plus subscribers get the feature but it's inconsistent

  • sometimes refuses to search, sometimes hallucinates results. Don't rely on it for critical information.
Q

What about data privacy and security?

A

OpenAI says they encrypt data and don't train on Enterprise customer inputs. Free tier conversations might be used for training. Enterprise plans include compliance features if you need SOC 2 or similar.

Q

Why does it hallucinate so much?

A

Because it's basically autocomplete on steroids, not a database. GPT-5 supposedly hallucinates less but it still makes shit up, especially about recent events or niche technical details. Always verify important information from actual sources.

Q

Why does it randomly refuse to do things?

A

Safety filters trigger on weird stuff. Asked it to help debug a security script and it thought I was trying to hack something. Spent 20 minutes rewording the same legitimate question before it would help.

Q

What file formats actually work?

A

Images (JPG, PNG, WebP), PDFs, text files, basic spreadsheets. Works well with code files and screenshots of error messages. Complex Excel files or PowerPoints might get mangled. Test with your specific file types.

Q

Can I build a business around the API?

A

Legally yes, but the usage policies have restrictions. Main risk is cost escalation and API changes. OpenAI can modify pricing or shut off access. Build monitoring and have backup plans.

Q

How many requests can I make per minute?

A

Depends on your plan and payment tier. Free tier is heavily rate-limited. Paid API access gets higher limits but they're complex and change frequently. Check the docs before building anything serious.

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