I used GitHub Copilot for my VS 2026 development and switched between ChatGPT and Claude. That was before I discovered Claude Code and the Codex app. Copilot was OK for my purposes, and the USD 10 per month fee was enough for my usage.
However, last month they introduced a new pricing model ( I know the old pricing was not sustainable), and my USD 10 was exhausted within days. Because of that, I switched to Claude Code and Codex and have never looked back. Yes, tokens on Claude Code and Codex are subsidized heavily, but let's just enjoy when good things last.
I do feel there is a difference between using Claude via Copilot versus using Claude directly in Claude Code. I'm not sure what Microsoft is doing behind the scenes.
Sorry, exactly what is the distinction between agent-assist and agent-driven? T
I give AI an image and just it what's wrong, and then it goes on to fix the bug in the codebase for me ( and write the tests), is this agent-assist or agent-driven?
Sometimes I just give the AI my description, and mockup, and it creates a plan and implements the details for me, and I verify visually ( this is the weak spot of AI), is this agent-assist or agent-driven?
I'm not sure this kind of competition is still meaningful, given that LLM can easily convert a program clearly written in any programming language to the most obfuscated C code, and can still easily verify it's correctness in an automated way.
In this kind of discussion, you cannot disentangle the fate Singapore from Malaysia. The comparison between the two is interesting.
When Singapore was squirted out from Malaysia in 1965, it had no natural resources, surrounded by hostile Muslim nations ( though not as bad as Israel, but still), and no one to depend on, except themselves.
The Malaysian Ringgit vs Singapore dollars was 1 to 1 back then in 1970s. And now it's 3.1 to 1. This alone is a testament how far Singapore has come.
One important factors separating Singapore and Malaysia is Malaysia's affirmative action (or quota system) that favors the majority, the Malay Muslims, which gives preference to Malay and Islam in all things including tertiary education, GLC opportunities. If you want to get listed in Malaysia stock market you need to have certain quota reserved for the Malays. It was supposed to ensure social justice and diversity, equality and inclusivity for everyone; why should Chinese monopolize all the opportunity to make money and leave Malays poor? This was so unfair.
This affirmative action was started in 1970, after the famous May 1969 racial riot incident. The argument was the riot happened because that the Malays were badly left behind by circumstances; they suffered so much injustice that they had to release it out on others, and the government must do everything to improve their socioeconomic status, lest the same thing happened again. It originally lasted only 30 years but in 2000, the government deemed that the Malays need more help still, and so it's still in effect today.
The affirmative action initiative by Malaysia government would have made any DEI adherents proud for it's thoroughness. Yet when you look at the results you must have wondered whether we did anything wrong. For if it was done right then why, by the affirmative action supporters own admission, the gap didn't close? And why Malaysia lagged so much behind Singapore? And how much minorities were driven away-- and many of them went to Singapore, to contribute to the economy there-- precisely because of affirmative action?
As a Malaysian and a parent, and as someone who detests censorship and who is wholely aware of the slippery slope nature of censorship, I actually agree with the ban.
This is because in Malaysia we already have seen enough examples of bad, vague laws have been used to shut up/down the ethnic minorities and dissenters, adding this ban will not change too much of the landscape.
Banning younger children to have a social media account is good. If we can ban kids from driving because their brains aren't fully developed yet, why not just ban social media account for the same reason?
It's actually sickening to see that everyone-- especially children-- glues to phone in public space: playground, restaurants and whatnot. Of course you can say that adults should follow the same ban but adults are more resistant to the opium of social media ( refer to the driving car example above). So I think the double standard is excusable.
The detriment effects of social media towards the young, girls especially, are well documented ( see the Jonathan Hahdt book "the anxious generation"). So I think the ban is valid.
I think the polarizing response regarding AI depends on which lenses you are looking through. For junior roles, yes, the job is rapidly disappearing. But for senior roles, experience and judgment are more important than ever.
So yes, software engineering may no longer be a lifetime career for a lot of people, much like elite sport is not a viable career for most—but still, some will, and must, make it their career.
This is my workflow which I find very productive with Agentic AI.
Disclaimer: I'm doing a CAD-like engineering desktop app, and I'm using VS 2026 Copilot, so YMMV.
When I get a Jira ticket, I will first diagnose the problem, and then ask AI to write a test case for it that will reproduce the problem, with guidance on what/how to do the test case (you will be surprised to know how many geometry, seemingly visual problems can be unit tested), and if necessary I provide clues (like which files to read, etc.) for AI to look at, and ask AI to just go and fix the test.
Often AI can do that; AI can make the test pass and make sure that adjacent tests also pass. If in doubt, I will check the output reasoning. I then verify that the fix is done properly via visual inspection (remember, this is a desktop app), and I ask for clarification if needed.
Then at night I'll let my automated test suites run... and oops! Regression found! Who broke it? AI or human? Who cares. I just tell AI that between these times one of the commits must have broken the code — can you please fix it for me? And AI can do that.
This works for small or medium feature implementation, trival bugfixes, or even annoying geometrical problems that require me to dig out the needle in the haystack. So the productivity gain is very real. But I haven't tried it on feature that requires weeks or months for implementation, maybe I should try it next time.
It's hard to describe the feeling. It's just that the AI is working like a very capable (junior?) programmer; both might not have full domain knowledge, but with strong test suites and senior guidance, both can go very far. And of course AI is cheaper and a lot more effective.
To me, the cognitive debt incurred by Agentic AI described here is not so different from the cognitive debt incurred by code written by someone else. Even when you are the reviewer of your colleague’s code, you can’t just grok everything as if the code were written by you. What more to say if you are not even the reviewer.
And that’s okay! Much like it’s okay to let other people write the code.
What is important is that the code written by Agentic AI is covered by automated tests adequately, and that you verify that the architectural plan is solid. But then this is also what you do with your colleagues’/juniors’ code.
I don't think this has much to do with export control-- note that Manus, as impressive as it is, is still a wrapper around fundamental western models--, rather it has more to do with capital controls.
China has been trying to stop large scale outflow of businesses and individuals for quite some time, due to local politics concern. What Manus was doing, achieving successes first in China then setup a nominal shell company in Singapore, seems like a textbook case of flight (润）, which China is trying to prevent.