Agentic Engineering

AI-assisted software engineering. Engineers collaborating with agents. Beyond vibe coding.

[Agentic Engineering @AgenticEng]

Scaling Managed Agents: Decoupling the brain from the hands https://t.co/EWeEFJVwS3 #Claude #Agents #AI

[Claude @claudeai]

Introducing Claude Opus 4.7, our most capable Opus model yet.

It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back.

You can hand off your hardest work with less supervision.

[Boris Cherny @bcherny]

Dogfooding Opus 4.7 the last few weeks, I've been feeling incredibly productive. Sharing a few tips to get more out of 4.7 🧵

[Agentic Engineering @AgenticEng]

@stevekrouse @simonw @karpathy Agentic Engineering for the win 🏆😂

[Andrej Karpathy @karpathy]

Expectation: the age of the IDE is over
Reality: we’re going to need a bigger IDE
(imo).

It just looks very different because humans now move upwards and program at a higher level - the basic unit of interest is not one file but one agent. It’s still programming.

[@levelsio @levelsio]

Thank god MCP is dead

Just as useless of an idea as LLMs.txt was

It's all dumb abstractions that AI doesn't need because AI's are as smart as humans so they can just use what was already there which is APIs

[David Fowler @davidfowl]

When @stevensanderson gives a talk, I watch.

AI-Powered App Development

https://t.co/jzVNyzfRAy

Now you watch.

[Agentic Engineering @AgenticEng]

https://t.co/30elJNviJF

[Simon Willison @simonw]

Today's chapter of Agentic Engineering Patterns is some good general career advice which happens to also help when working with coding agents: Hoard things you know how to do https://t.co/sIql4OV2QR

[Agentic Engineering @AgenticEng]

@btaylor Harness engineering or Agentic Engineering? #agenticengineering

[Agentic Engineering @AgenticEng]

@mstockton Thank you for sharing! Software engineering turning into #AgenticEngineering

[Agentic Engineering @AgenticEng]

@mntruell The new era of #agenticengineering

[Michael Truell @mntruell]

https://t.co/jZKOk8RAsV

[Agentic Engineering @AgenticEng]

@_Evan_Boyle Congrats! More #agenticengineering tools

[Evan Boyle @_Evan_Boyle]

The Copilot CLI is now GA!

[Agentic Engineering @AgenticEng]

@karpathy So accurately stated! #agenticengineering

[Andrej Karpathy @karpathy]

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.

Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.

As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.

It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.

[Charlie Guo @charlierguo]

https://t.co/sEoL3KsJLa

[Simon Willison @simonw]

I've published the first two chapters of a new guide to Agentic Engineering Patterns - coding practices and patterns to help get the best results out of coding agents like Claude Code and OpenAI Codex https://t.co/XIskcgeBFE

[Citrini @citrini]

JUNE 2028.

The S&P is down 38% from its highs. Unemployment just printed 10.2%. Private credit is unraveling. Prime mortgages are cracking. AI didn’t disappoint. It exceeded every expectation.

What happened?​​​​​​​​​​​​​​​​

https://t.co/JzzwCrbJgS