WeAreDevelopers Europe 2026 - my takeaways in one sentence

By Xavier Sala, 10 July 2026

My takeaway from WeAreDevelopers Berlin 2026 in one sentence:

The software development lifecycle we have been using for the last 20 years has officially changed.

AI doesn’t replace engineering! Lets be a Software Engineer(ing Coordinator)
AI follows either your engineering standards or the Internet average.
Knowledge belongs in the repository and is expressed via policies, rules, skills (ie. to create diagrams with draw.io in the repository, etc.) and specs (architecture, code-style, security, user geatures, etc.).
How AI understand knowledge you provided can be tested with evals/datasets and graders.
Your competitive advantage is no longer creating high quality systems but orchestrating the statistical machines (LLMs) to deliver it in the most efficient manner.
Same prompt. Different rules. Different result. -> reduced code volume, inreases token efficiency, PR readability, change locality and context efficiency.
Before the AI Revolution.

The new most used programming language: English
The builder is no longer just a developer.
The rise of agentic development - intent as the input and working softeare as the output.
Autonomouns development loops - CI/CD evolves from a passive pipeline into a continious, agent-driven feedback loop.
Traditional systems exposes endpoints. Agent-native systems exposes intent-level operations that agents can reason about.
Request-Response to Event-driven - agents perform best when they can observe system behavior and act autonomously - not poll and wait.
Trust & Safety in agentic systems. When agents can deploy code, provision infrastructure, and modify production - trus isn’t optional. It’s the foundation.

Jurassic era of the AI coding.
More code is generated by AI agent -> increased numnber and changes in each PR.
How to review inceased PRs and merge with confidence? by not logging only the diffs but also scores for risks, confidenly, etc.
More AI changes are accepted without human review.
New SDLC from intent to the outcome by merging without even openning a diff.

AI is changing software: from completing development tasks to now proven correct, team-scale and iterative development.
Spec-driven development:
- Persistent - lives in your repo as markdown
- Iterative
- Verifiable
- Shareable - git-versioned, PR-reviewable
Vibe coding is still fine for some parts.
Separate the design from the build of a project.
Use AI to generate the code that fulfills your documented specifications.
A spec formulates your intent.
Updating your specs triggers the regeneration of code.

Treat every model upgrade like a migration - not just as changing a string.
A new model is a new teammate.
Invoices will arrive.
Check cache ratio not only number of tokens.
UX matters - show to the user what the agent is doing - this is the line between users complaining about slowness and stop getting complaints.

I still have my own checks in regards to,
- How this new software development lifecycle is being gradually implemented accross differente industries (e.g. enterprise companies, startups, regulated sectors, etc.)
- the associated AI costs
Without a doubt, we are entering into an amazaing new era for the software systems.
Thanks to all the speakers for sharing your experiences and knowledge.
Thanks to WeAreDevelopers for such a great organisation and leading by example.
My recorded presentation in WeAreDevelopers World Congress 2026 Europe - Virtual Stage AI Agents & Agentic AI