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Part-time vibe coder. Full-time code reviewer. Sometimes https://teapawt.net/t.co/127MhCP9rR, https://teapawt.net/t.co/i0E3pDzCEY.

Bangkok, Thailand
Joined May 2012
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This is what Software Engineering means in 2026. It's no longer about writing code but creating an environment where your Agents can write the most correct code.
something that keeps bothering me is how some people see slop as something that is happening to them, like they're some kind of helpless bystander powerless to do anything about it excuse me but you are a software engineer, you literally learned how to make sand think and make computers do your bidding?! and now you can't do anything about it? please the 2 things you should know to cut through all the noise: 1. you need to give your agent a way to verify its own work (i just posted about this so won't rehash) 2. your codebase is memory the 2nd is not new either, we have always had lint rules, compilers with good diagnostics and strong type systems, LSPs, etc to help us write better code. there is no difference when agents write the code instead, you just need more of them, and stronger ones. forget rules and skills. you can add those later. yes, your codebase is a form of memory to agents! agents love extending what already exists. so every nit and every annoyance you've ever seen, every mistake and bad pattern you observe from agents, needs to turn into a constraint, or the agents will just keep repeating those same mistakes like a virus in your code. then you keep observing and repeating this process until your codebase is locked down enough that even agents with little context can one shot a high quality PR. an even better direction is to refactor/rewrite your code such that agent anti-patterns become categorically impossible. use type systems to your advantage, use libraries/frameworks that reduce the architectural search space, or heck, create your own framework like we did for grok bot and design high quality primitives and well thought out APIs
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This is the most important post of 2026 so far!! I don’t want to see anymore AI slop.
Agents make ugly UIs because they've never seen good design. We've been fixing that, 2,000 DESIGN.md files from the world's best products, structured for a model to read and learn. Colors, type, spacing, layouts and more. Free. styles.refero.design
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your company’s ci/cd pipeline.
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Codex is surprisingly good at code reviews
my AI coding workflow as a solo founder: - opus 4.6 for exploration + planning - codex 5.4 xhigh to stress-test the plan (catches gaps opus missed) - back to opus, which usually complains codex is overengineering lol - few rounds back and forth. codex implements, opus reviews. - ask both: "safe to ship? what's the worst thing that could happen?" opus and codex arguing over my codebase is my entire engineering team. will probably ship this workflow as a Polsia feature at some point.
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Genius
.@travisk says AI will make human labor even more valuable and in-demand than ever before: "Let's say the entire world - everything in our world - was automated, except for plumbers. You had machines making buildings - you would basically have like a thousand buildings a day." "How valuable would those plumbers be?" "Each and every plumber would be like LeBron. Why? Because plumbing would be the long pole in the tent to progress. You can't get those thousand buildings unless you have a plumber." "And by the way, you'd get so much efficiency everywhere else that you'd need millions of plumbers." "Humans [are going to] become more and more valuable because they will be the long pole in the tent to progress - and that progress is going to accelerate and get faster and more robust."
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Next time your boss asks for a meeting on a weekend, show them this. If the European Union can wait out the weekend when a possible world war is going on, your boss most definitely can.
Following the ongoing situation in Iran, I am convening a special Security College on Monday. For regional security and stability, it is of the utmost importance that there is no further escalation through Iran’s unjustified attacks on partners in the region.
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I never quite understood why highly intelligent people say that SaaS is dead. As long as software exists, SaaS will exist.
Software is oversold aka no one is vibe coding their payroll, notes: - Coding agents are a tremendous tool for extending the ambition of a company / product / business unit - why would you use your precious time rewriting SAAS? - The math doesn’t work - typically no more than 8-12% of enterprise spend is on software so even dramatic cost savings through replacement might result in a 3-5% net impact - Risk aperture of critical systems is enormous - these software products capture thinking as much as execution - edge cases, runtime behavior and tribal knowledge that cannot not be fully inferred by models - Not to mention the non software switching cost - how many humans interface with these systems + how much other software is intertwined - Finally Mag7 / the most sophisticated software companies in the world still spend an enormous amount on 3P software shoutout to @saumil and @obsidiancap1 who got it right
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Good lord, Claude Code now asks you questions before implementing.
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I get the hype around Claude Opus 4.5 but has anyone tried working in a team with some people using AI to generate code while others don't? It's such a mess.
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Claude: "I've defined phase one of your project to be completed during weeks 1-4 and updated the spec." Me: "Implement phase one now." *5 minutes pass* Claude: "Phase 1 is complete."
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As an AI expert who totally doesn't think LLMs are the path to AGI, but uses LLMs very avidly to get things done, here is my take on the utility of top LLMs currently: 1) If you don't know what you're doing in a certain domain, you can get interesting and valuable results, but they will be mixed up with garbage and you'll have trouble identifying the garbage.... In some cases automated methods can be used to test/filter results but this remains mostly dodgy in real-world cases. 2) If you DO know what you're doing in some domain, but are NOT willing to creatively adapt your work-style to the LLMs, or are oriented toward proving the LLMs are dumb and flawed rather than making the most of them ... then you won't get much out of them except time-saving on some rote-ish tasks 3) If you DO know what you're doing in some domain and ARE willing to open-mindedly and creatively work with the LLMs to route around their shortcomings and leverage up their strengths, you can amplify your abilities and output DRAMATICALLY.. though still with some tradeoffs: in many respects LLM-assisted products are still not as good as expert-human-crafted products, though they are also often better in various respects (and can often be produced SO much faster)
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LLMs make it easier to build custom software, but that alone does not justify replacing systems that already work. The real issue is whether the time and money spent will create a lasting competitive advantage. Rebuilding standard systems like CRM or HR tools rarely clears that bar. Even if AI speeds up development, the payoff is small, and the opportunity cost is huge. Every hour spent recreating Salesforce or Workday is an hour not spent building the proprietary capabilities that actually move the business forward. That tradeoff is the real constraint. We saw this in the cloud era. Companies bought standard CRM and HR systems and focused their energy on the software that defined their customer experience and gave them an edge. AI lowers the barriers to custom development, but it does not change this basic logic. The smart strategy is to invest in the areas where innovation creates true differentiation and customer value, not in systems that are easy to rebuild but don't move the competitive needle.
SaaS is Over: " SaaS apps were built at a time when software was relatively hard to build.  Now many of these AI applications are easy to build on top of these LLMs. Most companies will start building custom software super easily." @jonsid Love to hear your thoughts on this @destraynor @dharmesh @craigzLiszt @jasonlk @FabianHedin @spenserskates
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Google is so bad at being customer obsessed. It’s technology first, and when the hard part is done, move on to the next thing. Examples: - It’s impossible to upgrade from the Gemini app. - Google Workspace accounts can’t use YouTube Pro Family. - Minting an API key is the plot for the next Dan Brown novel.
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I've been trying to find a way to describe the vibe difference between gpt-5.1-codex and Gemini 3 Pro. I think these code snippets highlight it pretty well
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Ok here's the new flow: UI → Gemini 3.0 pro Code → Claude Sonnet 4.5 Plan → GPT 5.1 Just try this; remove all others.
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Gemini 3 Pro-High is really good in Antigravity. That is until you hit the quota which is very fast.
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Antigravity is a really cool name. Love it.
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Lately i've been trying different LLMs for their OCR capabilities for handwritten tests. Gemini 3 Pro is definitely the best LLM for OCR right now. Previous best was Gemini 2.5 Pro. However, there are still many cases like this one which is not easily interpretable by an LLM. Left - Original document to OCR Right - Output from Gemini 3 Pro Thinking
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Today we're launching Manus Browser Operator. Any browser can now become an AI browser. One extension. No download. No new setup. Your browser already works. Your logins. Your sessions. Your habits. Now with the full power of Manus.
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