AI has removed the typing from software engineering & left the system design.
Words found on the source page on Nov 6, 2026.
More from Tomasz Tunguz
BlogThinking in Systems, Shipping in LoopsSep 24, 2026
The craft of fitting code together by hand is over; what remains is designing the loop that decides whether the output is right.BlogThinking in Systems, Shipping in LoopsSep 24, 2026
This is the new software engineering: designing the systems that let AI write code correctly at scale.BlogThe Most Important Market in AI is the MiddleSep 23, 2026
But the right tail of the market is thinner than almost anyone forecast.BlogThe Most Important Market in AI is the MiddleSep 23, 2026
Demand for intelligence is not a pyramid with a small, wealthy peak paying for everything beneath it.BlogThe Most Important Market in AI is the MiddleSep 23, 2026
Most business AI use is the messy middle: multi-step workflows that need a smart enough model at a price a company can afford. It is the most important part of the market today, & it is where the competition is fiercest.BlogAI Comes for the If StatementSep 21, 2026
If this is the first of many primitives specialized for production, then harnesses are about to capture a lot more margin.BlogAI Comes for the If StatementSep 21, 2026
They also highlight the bifurcating economics of AI: state of the art models for discovery & optimized models for production. We use the largest frontier models to train new models, & the most capable models to architect systems. But once a system is engineered & hardened, running it thousands or millions of times through a workflow benefits from narrower AI.BlogThe AI ColanderJul 13, 2026
AI customer retention sits between mobile games and social networks. Frontier models keep the crown for about 41 days, and the price of a given level of intelligence falls roughly 10x per year, giving buyers more leverage every cycle.
On the same topics
BlogFrontier OverhangsSep 21, 2026
What this means is that model performance isn’t the only thing that matters: the integration between model and harness is where true agent differentiation is found.BlogInside OpenAI’s agentic software factorySep 15, 2026
Engineering specializations are disappearing, judgment and agency are more important, and it only takes one or two engineers for previously “impossible” rewrites and migrations to succeed.BlogInside OpenAI’s agentic software factorySep 15, 2026
Within a year, Codex has gone from a “nice-to-have” tool to being the backbone of pretty much everything at the company.LetterThe Batch issue 370, letterSep 11, 2026
When you’re skilled at AI Engineering, your best work won’t be merely implementing a product that someone else spec’ed out.BlogThe coming product retention crisisSep 8, 2026
AI is fantastic at automating tasks that have verifiable outcomes, which is why we’re seeing amazing strides from coding, mathematical proofs, and workplace productivity is an extension to that.BlogWhat is happening with code reviews?Sep 8, 2026
Since the end of 2025, it has seemed that the era of devs writing code by hand is over at startups and in Big Tech. AI agents work faster and generate more pull requests (PRs) than devs ever did, and the size of those pull requests is also increasing.
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