“The article highlights an instance of 12,000 lines of refactoring using 10 Claude instances running in parallel.”

“To be honest, I'm almost developing a phobia of bananas. I created a prompt telling Gemini never to use the term "Nano banana," but it still used it.”

“This article uses ChatGPT Plus plan.”

“The article uses the term 'people weak at verbalization' not as a put-down, but as a label for those who find it challenging to articulate thoughts and intentions clearly from the start.”

“Vibe Coding is fostering a million 'super individuals.'”

“Zunda-mon: "I was bored during the New Year, so I had ChatGPT summarize the search history of 2025!"”

“The article is a link to a resource.”

“The article highlights the development process and the behind-the-scenes of 'prompt engineering' to infuse personality and ethics into the AI.”

“I'm sorry, but the provided content is incomplete, and I cannot extract a relevant quote.”

“The article focuses on how the author collaborated with Gemini 3.0 Pro during the development process.”

“Let me know if it helps, would love to see the kind of images you can make with it.”

“I’m trying to understand the job market for entry-level AI/ML engineer roles.”

“If I learn DSA, HLD/LLD on my own, would it take a lot of time (one or more years) or could I be ready in a few months?”

“Instead of diminishing, demand for these skilled professionals appears to be growing.”

“With tools like ChatGPT and Gemini, creating such images is a snap!”

“The award results show a strong preference for AI-related books.”

“DeepRoute.ai is expanding its technology beyond automotive applications, with the potential market size for spatial-temporal intelligence solutions expected to reach 270.2 billion yuan by 2035.”

“The article's core message focuses on the nuanced realities of AI adoption in engineering practices, showcasing both the revolutionary speed gains and the essential need for iterative refinement.”

“The first coding question relates parsing data, data transformations, getting statistics about the data. The second (ML) coding involves ML concepts, LLMs, and debugging.”

“The purpose of this paper isn't to announce results.”

“The article focuses on how to receive LLM output in a specific format.”

“The article likely explores prompt engineering's impact, demonstrating how carefully crafted instructions can unlock superior performance from these powerful AI models.”

“The document excels by redefining the ambiguous concept of 'collaboration' as a structural problem.”

“I am not looking for hype or trends, just honest advice from people who are actually working in these roles.”

“The article's content (submitted by /u/reversedu) would contain the key insights. Without the content, a specific quote cannot be included.”

“N/A - The provided article only contains a title and source.”

“This is a placeholder, as the original article content is missing.”

“AI that cannot correctly retain project specifications and context...”

“What if instead of manually firefighting every drift and miss, your agents could adapt themselves? Not replace engineers, but handle the continuous tuning that burns time without adding value.”

“Claude Code is a valuable tool, but its automatic compacting can disrupt workflows. The article aims to solve this by warning users before the context window exceeds the threshold.”

“I used it for SLAVE recruitment, as I like LUNA SEA and Luna Kuri was decided. Speaking of SLAVE, black clothes, speaking of LUNA SEA, the moon...”

“I'm aiming for a position that offers more exposure to MLOps than experimentation with models. Something platform-level.”

““Soon, the most valuable skill won’t be coding — it will be communicating with AI.””

“Focusing on tools that reduce 'thinking noise'.”

“This approach shifts the focus from directly instructing to collaboratively exploring the knowledge space, ultimately leading to higher quality outputs.”

“In modern LLM development, Pre-training, SFT, and RLHF are the "three sacred treasures."”

“The article mentions utilizing Gemini 2.5 Flash's '1 million token' context window.”

“By converting history to Markdown and feeding the same prompt to multiple LLMs, you can see your own 'core issues' and the strengths of each model.”

“AI agents have become tools that are "naturally used".”

“The article's core message is about avoiding the 'death' of AI projects in production due to unexplainable and undocumented code.”

“The author, driven by the desire to solve a personal need, is compelled by the impulse, familiar to every engineer, of creating a solution.”

“These ideas are not born out of malice. Many come from good intentions and sincerity. But, from the perspective of implementing and operating LLMs as an API, I see these ideas quietly destroying reproducibility and safety...”

“…using Representation Engineering (RepE) which injects vectors directly into the hidden layers of the LLM (Hidden States) during inference to control the personality in real-time.”

“The post discusses a prompt design approach that works backward from the finished product.”

“In the previous article, issues were discovered in the horse's past performance table while trying to use odds as a feature.”

“The article mentions using Gemini for implementation.”

“These engineering marvels are a new species of infrastructure: supercomputers designed to train and run large language models at mind-bending scale, complete with their own specialized chips, cooling systems, and even energy…”

“Modern LLMs have extremely high versatility. However, the default 'polite and harmless assistant' UX often becomes noise in accelerating the thinking of professionals.”

“The article's key takeaway is the warning about engineers potentially losing understanding of their own code's mechanics, generated by AI.”

“He warns of the risk of engineers losing the ability to understand the mechanisms of the code they write themselves.”