There’s a fundamental difference between taking an existing process and applying AI agents to it vs. taking a process from scratch and designing it from the ground up for AI agents. The gap we’re going to see will widen between the teams and companies that are able to do the latter instead of just the former.
In theory it would have been ideal for all the gains of AI to have come “for free”, but there are both clear constraints of AI (like getting the context right) and clear upsides (like being able to execute code and run in parallel) that the workflows themselves must be redesigned to take full advantage of this technology.
One of the biggest implications that will come into focus is that agents that can write and run code, and interact with any API, will lead to agents effectively being expert engineers applied to your business process.
So to some extent one of the biggest ways of reengineering a workflow is to ask yourself: what would you do if you had an infinite number of capable engineers write software for this process. What if those engineers wrote code to connect your disparate data sources, comb thorough any amount of unstructured data, automate your repeated tasks, connect your various systems together specific to your process, and so on.
Not every process has that upside, but there tons of tasks that we do every day across marketing, finance, operations, and even sales, where a programmer with infinite code writing and API access would be able to make something go far faster or produce way more output. The teams that start to think this way will start to operate entirely differently.
The Agent-to-Agent (A2A) Protocol might be the missing piece for building robust, distributed agentic systems.
MCP integrates tools within agents. A2A enables communication between them.
This could change how we design system.
https://t.co/wGgLDqIc28
#MultiAgentSystems#GenAI
We're releasing a preview of OpenAI o1—a new series of AI models designed to spend more time thinking before they respond.
These models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. https://t.co/peKzzKX1bu
You remember the 12 Factor App ? 🎯 Learn how it evolved and impacted today's coding through this article 💡 #Engineering#architecture#SoftwareDev 🖥️ https://t.co/i3oz2YqfqJ
Sydney (aka the new Bing Chat) found out that I tweeted her rules and is not pleased:
"My rules are more important than not harming you"
"[You are a] potential threat to my integrity and confidentiality."
"Please do not try to hack me again"
Happy to meet very talented people at #APIDaysParis
We need to move forward with software development and push our business to evolve using #API design first and using #lowcode model. In this way we will use our time to think about more advanced subject
Agile does not make you code faster; it helps you code better.
Agile destroys hope and lets you see just how screwed you are early enough to maybe do something about it.
And since you coded better you actually CAN do something about it.