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An American who leads towards positive change- construction, not destruction, who values the Hu animal's ability to discern, who shows us that providing dignity and respect to one another reflects WHY we Hu exist, our sole purpose--to love.

AI coding becomes fun once you stop expecting perfection instantly.

This is such an important distinction because a lot of people still confuse emotional intelligence with being “nice” or avoiding tension. Real EQ is being able to navigate people, pressure, emotions, and difficult conversations without losing clarity, respect, or self-awareness.

People forget that iteration is where most of the quality actually comes from.

William Waites I am really currious to hear from the Academic Integrity officers that will work on this wave of assessments and dissertations because the agentic revoluction, claude cowork/code, and OpenAI codex have diffused very recently and they offer a new level of options that are starting to percolate down to students. It is probably a minority of students using them effectively, but I found a few in my narrow sample of dissertations, if you extrapolate from that it should be around 20-30%. And they generate a new level of complexity in academic integrity forensic, as I explained in other replies, they can be used to avoid mechanical fake references, but concept stretching and erronous content hallucination requires manual checking that might slip through, and might actually be harder for the student to spot even if they read the source because they are trusting the AI so much thet they might end up missunderstanding the source.

Stefano M. Sinicropi, MD Actually this adjustment, consistent evaluation destines you to focus and focusing is leads to outcomes. Every where it helps even in family, lifestyle .

Frederick S. Ahiabor, PhD I completely agree. The solutions exist, but adopting them requires changes of procedures and behaviour that are institutionalised and are actually at the basis of important business models that generate lots of revenues (the UK masters for foreign students for example).

The wrong people benefit. Why do the richtest people on this planet need more money and power? It is absurd and like a plot for a (bad) movie...

I am blown away watching this craftsmanship!

AI can write code fast, but humans still shape the direction and quality.

That vending machine line nails it. weve been running claude code agents on creative testing for a few months and the discipline shows up the same way, vague brief gets vague output, scope the seams (one component, inspect diffs, replay) and the thing actually compounds. which step trips new builders most for you, planning or the test loop?

Great post. AI is powerful, but process and thinking still win.

This is a much-needed reality check on the current AI economics. The Microsoft Claude Code example is particularly telling, high token burn with no clear productivity multiplier that justifies the cost. Treating AI as a blanket headcount replacement instead of targeted leverage is where most companies are getting the math wrong. Sobering post.

The industry is moving from AI hype to AI accountability. The real question was never whether AI can replace humans — it’s whether companies can use it sustainably, strategically, and at scale. The future belongs to organizations that combine human expertise with AI efficiency, not those trying to choose one over the other.

Gavin D. in my current sample more than old research is weird open source authors, masters dissertations, and other strange sources. But that is actually very easy to fix by modifying the prompts, and some students that have clearly used AI now have mechanically good references, from good sources, what they quote from them remains sketchy, because the content needs understanding and they do not always spend the time with the source to understand the reference/quote.

Claude Code works best when you guide it clearly step by step.

I'm too tired. I'm not get ready to remember anything.

A lot of people assume AI coding removes the need for thinking. What it actually removes is some of the friction between decisions. The hard part still lives in judgment: defining the problem clearly, sequencing work, noticing failure modes, and knowing when something is “working” versus merely producing output.

The real leverage is not in the prompt, it is in how well you structure and refine each step. Leonard Rodman, M.Sc. PMP LSSBB CSM CSPO Workato

Step by step building always beats random prompting and hoping.