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SHIFT
A manifesto by practitioners & researchers

Software is not vibed
It is engineered

It’s time to .

The Main Event ↓ Read the Declaration ↓
JUL 22 & 23, 2026
03 founding organizations
∞ full manifesto published
§ 01

The Manifesto

We specify, design, prototype, build, document, test, deploy, maintain, and monitor — in short, we create — high-quality software at the speed of AI-driven development, with the responsibility, design, and rigor of Engineering.

We also use AI proactively to understand undocumented legacy systems and systematically reduce historical technical debt.

Our discipline (Software Engineering) is a systematic, rigorous, and responsible process where AI acts as a tool and a catalyst, but never as a substitute for the engineering process.

At the intersection of human intelligence and computational capacity, we redefine the art and science of designing, building, and evolving software. We do not seek to replace the engineer, but to amplify their ingenuity, judgment, and productivity through the responsible, strategic integration of AI into the software development lifecycle.

We leverage AI with a deep understanding of both its capabilities and its limitations, especially in tasks requiring scalability, speed of execution, identification of complex patterns in large volumes of data, and the application of vast technical information as context.

— SHIFT, 2026
Read the Full Manifesto →
§ 02

Four Values

We are discovering more powerful ways to create software by integrating Artificial Intelligence not merely as a tool, but as a strategic collaborator. Through this work, we have come to value:

  1. 01

    Engineering Rigor over Black-Box Automation

    We value software quality above generation speed. This value establishes that AI is a tool within a formal discipline. We do not let the speed of AI compromise systemic quality. We prioritize systematic processes, conscious decisions, upfront specification, and multidimensional quality criteria — user, team, and standards — over the fast, irresponsible generation of artifacts (text, code, diagrams, and the rest).

  2. 02

    Human Responsibility over Autonomous Delegation

    Delegation demands judgment, experience, and conscious oversight. AI can assist and execute tasks, but not assume responsibility. Responsibility is not transferred — it is exercised with greater rigor. We value human judgment, ethics, and inalienable moral responsibility. We value that every decision suggested or artifact generated by AI be justifiable through the use of engineering logic, and not by the authority of the model. Delegating a task (or set of tasks) to AI is a conscious act that depends on the maturity of the engineer. If the expert does not know how to do the task, they have no authority to delegate it to an AI. Technical, professional, and ethical responsibility always remains with the software engineer.

  3. 03

    Transparency & Traceability over Black Boxes that Decide

    Blind automation has no place in Software Engineering. We value systems and processes that enable human oversight, traceability, and auditing of AI-assisted results. To trust artifacts (text, diagrams, code, etc.) generated with AI assistance, we must understand how it got there. Every task and decision executed by an AI must be explainable, auditable, and traceable. We build software ensuring that people always retain the ability to intervene, validate, and understand the context behind every suggestion, action, or automated decision.

  4. 04

    Sustainability & Applied Ethics over Uncontrolled Consumption

    Automation must be exercised with awareness of its real-world impact, both in infrastructure costs and in social and environmental impact. AI consumes energy and computational resources that are neither infinite nor free. We value security from the earliest stages of development, explicit risk management, and the responsible use of automation. AI’s capability does not justify unnecessary consumption or purposeless automation.

§ 03

15 Principles

Rigor, responsible use, and cognitive synergy. The full manifesto includes 15 guiding principles for AI-assisted software engineering — from conscious delegation and ethics by design to data sovereignty and evolutionary leadership.

Read the Full Manifesto →
Live Event

The SHIFT
Manifesto Launch

22
July 2026
&
23
July 2026

Hosted at Universidad de los Andes

Bogotá, Colombia

  • Tres Astronautas Industry
  • Universidad de los Andes Academia
  • Blend·Colombia Industry
See the Forum Recap → Sign the Manifesto
SHIFT 1.0

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movement.

The SHIFT Manifesto 1.0 is published — 4 values, 15 principles, and a clear vision for AI-assisted software engineering. Add your name and stand with the community.

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