📖 Article 1: Three AIs and a Funeral: My Take on GPT-5 ⚰️

As explained by: Unknown Author  |  📅 Published: 2025-08-20T12:55:34Z

🔗 https://dev.to/anchildress1/three-ais-and-a-funeral-my-take-on-gpt-5-3f3e

💡 Summary

🦄 Confession time: when I first started writing this post, I was mad. Not mildly irritated, not “eh, I’ll just wait for the next patch” annoyed. I mean genuinely fed up with Copilot, ChatGPT, and everything GPT-5 in general. And if I make it to the end of this post in one piece, maybe you'll understand why.

The Funeral 👻

First, let me start this out by stating that OpenAI has officially buried the excuse that GPT can’t code. We had the funeral over the weekend. All its friends were invited. Laid to rest. Cremation done. Trees planted. Memorial service complete.

It’s done — GPT-5 can code. Full stop.

There's no room for debate. No more hacks with pages of instructions or GPT hanging out on the sidelines because it's busy staring at the plan. OpenAI nailed it with an absolutely solid model.

Plus VS Code's release came with some more experimental features that turns the already-solid GPT-5 in to a “send a prompt, make a plan, deep thinking, Implementation Specialist at your service” experience. That being said, I still haven't had nearly enough time with the full model yet.

🦄 Why, you ask? Because my brilliant self left my personal account logged in while working last week. That account? It's the cheap $10 one. I burned through all my premium requests before I even noticed. 🫥

So yes, GPT-5 (the real one) passed its early test runs beautifully — small to medium features, planning and implementation, no complaints. But the deep dive it deserves? That’s still coming — stay t...

📖 Article 2: Steerable Prompts: Prompt Engineering for the GPT-5 Era

As explained by: Unknown Author  |  📅 Published: 2025-08-20T10:42:36Z

🔗 https://dev.to/abhishek_gautam-01/steerable-prompts-prompt-engineering-for-the-gpt-5-era-480m

💡 Summary

Welcome, fellow builders! If you're diving into GPT-5, you're stepping into a new era of AI. GPT-5, represents a significant leap forward in areas like agentic task performance, coding prowess, raw intelligence, and its ability to be steered. But what does "steerability" really mean for us, the developers and problem-solvers on the front lines? It means that how you ask matters more than ever.

What Exactly is Prompt Engineering?

At its core, a large language model (LLM) like GPT-5 is a sophisticated prediction engine. Give it an input – what we call your "prompt" – and it calculates the most probable next word (or "token") based on the colossal datasets it was trained on. So, your prompt isn't just a question; it's the blueprint. It's the DNA of the output you want.

At its heart, prompt engineering is simply the art and science of teaching AI to think clearly.

Now, with GPT-5, there’s a fascinating wrinkle: adaptive compute. This means your prompt isn't just guiding the content; it's literally influencing how hard the model works to deliver that content.

For complex reasoning tasks, GPT-5 can allocate more computational resources, while for simpler ones, it might use less. This is a profound shift from earlier models and opens up new avenues for efficiency and performance.

Why Does Prompt Engineering Matter So Much Now?

The beauty of prompt engineering is its accessibility. What it does demand is clarity, specificity, and intentionality in your inputs.

Imagine you're...

📖 Article 3: AI models are 99.9%+ more cost-effective than human developers for code generation - but here's what the numbers don't tell you

As explained by: Unknown Author  |  📅 Published: 2025-08-20T19:21:11Z

🔗 https://dev.to/utkvishwas/ai-models-are-999-more-cost-effective-than-human-developers-for-code-generation-but-heres-d6l

💡 Summary

AI code generation is 37,519x cheaper than human developers for raw token output, but this comparison misses the bigger picture. Here's what I found when I crunched the numbers.

The Great Debate: Humans vs AI 🥊

As developers, we're constantly hearing about AI taking our jobs. But what does the math actually say? I decided to dig deep into the costs and create a comprehensive analysis comparing AI code generation models with human developers in India.

Spoiler alert: The numbers are wild, but they don't tell the whole story.

The Methodology 🔬

Instead of making assumptions, I researched current pricing from five major AI providers and cross-referenced salary data from multiple sources for mid-level developers in India.

AI Models I Analyzed

Provider Model Input Cost Output Cost Total Cost* OpenAI GPT-4o-mini $0.075/1M $0.30/1M $0.31 DeepSeek Chat (V3) $0.27/1M $1.10/1M $1.13 DeepSeek Reasoner (R1) $0.55/1M $2.19/1M $2.25 OpenAI GPT-4o $1.25/1M $5.00/1M $5.12 Anthropic Claude 3.5 Sonnet $3.00/1M $15.00/1M $15.30

*Based on 100k input + 1M output tokens

Human Developer Baseline

From salary data across GeeksforGeeks, Scaler, UpGrad, and Indeed:

Average Annual Salary : ₹769,754 (~$9,275 USD)

: ₹769,754 (~$9,275 USD) Hourly Rate : ~$4.46 USD

: ~$4.46 USD Weekly Token Output : 15,333 tokens (estimated)

: 15,333 tokens (estimated) Cost per Million Tokens: $11,631 😱

The Results Are Insane 📊

Here's where it gets interesting:

Speed Comparison

Human typing : ~2 tokens/secon...

📖 Article 4: ChatGPT Go Subscription India Features, Pricing, and Alternatives

As explained by: Unknown Author  |  📅 Published: 2025-08-20T15:30:55Z

🔗 https://dev.to/sweet_benzoic_acid/chatgpt-go-subscription-india-features-pricing-and-alternatives-ae1

💡 Summary

OpenAI recently announced its ChatGPT Go subscription for the Indian audience. It's positioned as their most accessible paid offering so far, a bridge between ChatGPT's free tier and the premium subscription, if you must. Currently rolling out in India at ₹399/month (approximately $4.60–$5), it provides an entry-level upgrade for users who want more capability without committing to the higher-priced ChatGPT Plus at ₹1,999/month ($20). Let's have a look at ChatGPT Go Subscription's features, pricing, and alternatives.

What’s included in the ChatGPT Go Subscription?

OpenAI has bundled several upgrades into the Go plan to make it feel like a meaningful step up from free access.

1. GPT-5 Access

   Subscribers get access to GPT-5, OpenAI’s flagship model. Free users are restricted to lighter models, but Go ensures access to a more advanced and reliable version of ChatGPT.

2. Expanded Usage Limits

   Go increases the number of prompts users can send, as well as how frequently they can use premium features such as image generation and advanced data analysis. This allows for heavier day-to-day use without running into limitations too quickly.

3. Extended access to Image Generation

   Go subscribers can generate significantly more AI images than free users. This is valuable for students, designers, or anyone looking to quickly visualize ideas.

4. File Uploads and Analysis

   The plan allows larger and more frequent file uploads—documents, spreadsheets, and presentations can be submitt...

🎯 Final Takeaways

These summaries reflect key insights from the Dev.to community—whether it's cutting-edge tools, practical tips, or emerging AI trends. Explore more, experiment freely, and stay ahead in the world of prompt engineering.