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AI didn't make code cheap. it made bad code lethal. Matt Pocock: "Software fundamentals matter more than ever" AI in a good codebase ships gold. AI in a bad codebase ships garbage. framework mastery doesn't compound. fundamentals do. if you're starting with AI agents, build these 5 patterns before... anything else: > Tool Use Design Pattern. tool calling is the core of every useful agent. > Agentic RAG. grounded answers over hallucination. maps to real products. > Planning Design Pattern. agents that break a goal into steps before acting. > Multi-Agent Design Pattern. orchestrator-subagent is the only shape that ships in production. > Building Trustworthy AI Agents. reliability, safety, knowing when not to use one. this article covers what to learn, build, and skip in AI agents in 2026. bookmark and read this today. repo with 500 more in commentsshow more

Rohit

24,377 subscribers

28,480 views • 5 months ago •via X (Twitter)

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20 Comments

Rohit5 months ago

500 AI Agents project here:

Rohit5 months ago

Full talk by @mattpocockuk on @aiDotEngineer here:

Nihit Singh5 months ago

Crzy

Siddharth5 months ago

fundamentals are gonna stay

Mohamed Anis5 months ago

You've captured exactly why we're seeing such divergent AI outcomes. the quality of underlying architecture determines whether AI accelerates value or amplifies technical debt at scale.

Khairallah AL-Awady5 months ago

banger my man

Alpha Batcher5 months ago

Without these 5 patterns, no work in AI will be successful

J A Z I I5 months ago

Love it man you cooking with all bangers

CyrilXBT5 months ago

banger right here

Crio Songo5 months ago

You’re 100% right about this. I’ve seen too many teams cut corners on fundamentals just because AI can crank out code fast. I actually just started practicing these 5 agent patterns last week, this post is exactly the reminder I needed.

唐清乐5 months ago

这句话很准。AI放大的是系统本身的质量，好的工程基础会被加速，坏的抽象也会被更快复制。基础功反而更值钱了。

Morton Digital5 months ago

That 5th pattern — Building Trustworthy AI Agents — is where most builders get burned in production. Error cascades, retry storms, context loss when the LLM 429s. Put together a playbook on exactly those failure modes:

robertus5 months ago

bad code used to tax maintainers slowly. agents let it scale its revenge with much better throughput

Himanshu5 months ago

Interesting

Harry Tandy5 months ago

a solid architecture is the only thing standing between a working product and a total mess

Levi5 months ago

the “orchestrator-subagent is the only shape that ships” take is spicy… what breaks first when you skip it

Dylan Swanepoel5 months ago

AI amplified one thing more than anything else: Architecture debt. Bad foundations used to slow teams down. Now they poison the output of the agents operating on top of them. That’s why so many AI products demo well but collapse operationally.

robertus5 months ago

bad code used to tax maintainers slowly. agents let it scale its revenge with much better throughput

Carlos Tecnico5 months ago

drop F vibe coding. fundamentals or your agent ships trash 🙄

Avid5 months ago

good one

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