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# The AI Agile Manifesto
- URL: https://madewithlove.com/blog/the-ai-agile-manifesto/
- Published: 2026-03-16T06:35:51.000Z
- Updated: 2026-03-24T11:31:08.000Z
- Description: Agile was supposed to free us from bureaucracy. Many teams just rebuilt it with better branding. Now, AI-driven development is forcing the uncomfortable question: Were we ever truly agile, or just managing slow feedback loops?
- Author: Jonas Drieghe
- Tags: AI, AI development, AI Agents, Claude, Engineering, LLMs, Processes, Team dynamics, CTO, CTO Coaching, Investor, AI strategy

For years, modern software development has revolved around rituals: sprint planning marathons, estimation poker, backlog grooming sessions that felt suspiciously like group therapy for Jira tickets.

[**Agile**](https://madewithlove.com/blog/how-to-manage-technical-debt-as-part-of-your-agile-process/) **was supposed to save us from heavyweight processes.** Instead, many teams slowly rebuilt bureaucracy with better branding and more emojis.

Now [AI-driven](https://madewithlove.com/blog/bootstrapping-a-birding-database-using-genai-part-1/) development is forcing an uncomfortable and overdue question: were we ever truly agile, or just really good at managing slow feedback loops? [I wrote about the Agile Manifesto 8 years ago](https://medium.com/@jonasdrieghe/being-agile-was-never-about-the-process-4cbcc1197a45). Today, more than ever, it needs a thorough revision.

## Individuals and interactions over processes and tools

We said this, then built workflows so complex they required full-time ceremony management. [AI](https://madewithlove.com/blog/ai-isnt-optional-anymore-why-developers-without-ai-are-falling-behind/) flips the balance back. When development teams can prototype in a handful of minutes, endless planning meetings belong 6 feet underground. Conversations move from “how big is this story?” to “does this actually help users?”

## Working software over comprehensive documentation

Some teams replaced documentation with something worse: **sprawling tickets and acceptance criteria essays**. AI changes the economics. The fastest way to communicate an idea is no longer a specification document or a meeting; it’s a working prototype. Build. Show. Improve. Repeat.

## Customer collaboration over contract negotiation

AI shrinks feedback loops so dramatically that collaboration becomes continuous. There's no need to predict how long something will take when it's faster to do it than to agree on a number. Instead of locking down scope and guarding each transgression, teams can bounce ideas off real users almost immediately. Talk less, do more.

## Responding to change over following a plan

This one hurts. Many teams became slaves to sprint commitments and velocity charts. Who needs tools to manage uncertainty when there is no uncertainty to manage? When AI accelerates execution, rigid plans become lightweight hypotheses**.** Promises carved into a backlog are outpaced by the delivery itself.

Agile isn’t dead; on the contrary. Agile-as-ceremony is getting a much-needed reality check, back to its basic ideas. **AI is removing all your excuses.** The teams embracing it are already shipping faster, learning faster, and stealing your customer base.

Somewhere right now, a team is arguing about velocity while another one ships their replacement. But hey, at least the burn-down chart looks fantastic.

## When AI removes the execution bottleneck, communication becomes the job.

The CTO's real challenge is not keeping up with technology. It is keeping the business aligned with what the team is building.

[Read the CTO edition](https://madewithlove.com/blog/communicate-or-be-micromanaged-the-cto-edition/)