Most people use AI as a trick. We rebuilt the cycle around it.
- 01
AI without governance is technical debt at high speed.
- 02
AI does not sign off. A human has their name on the gate.
- 03
Specialized agents beat a generic model trying to do everything.
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Code in production is worth more than a report in PDF.
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26 years of engineering are not thrown away. They are taught to the machine.
- 06
Speed without traceability is risk, not advantage.
Legacy code modernization with 92% more performance
Legacy code modernization with 92% more performance
The 92% that opens this manifesto is not a slide estimate. It is what our engineering presented on stage at APIX 2026, with the method open and the numbers on the table.
What Agentic Software Engineering is.
Specialized agents
It is not a generic model answering questions. Each agent is specialized by method for a specific step: code diagnosis, business analysis, architecture, generation, testing and observability.
Harness as governance
A living artifact that encapsulates the rules: what is in scope, what goes in and out, the regulatory and quality limits, the acceptance criteria. It turns “generate code” into “generate code within these constraints”.
Humans in control
Validation gates with a chain of accountability. The AI proposes; the human approves. Whoever signs the gate has a name.
Discovery → Specification → Implementation → Runtime Intelligence.
Understand the problem before touching the code. Business context, constraints and opportunities become a prioritized map of Intents.
Define the Harness: boundary, contracts, guardrails and acceptance criteria that will govern what gets built.
CLOVIS generates code within the Harness constraints, with native tests and observability, validated by humans at every gate.
Monitor performance, usage and patterns in production. Anomalies and insights become new Intents and restart the cycle.
“Agentic Software Engineering” has a method behind the name.
Three ways to put AI in the code. One of them survives an audit.
Method without results is opinion.
Speed
faster than manual rewriting on complex legacy.
Rework
rework, with engineering governance around the AI.
Engineering
building and modernizing critical software, part of DB1 Group.
Who has been through this.
See all cases →Our engineering opinion does not stay in-house. It is public.
Engineering Guide
The DB1 way of building software, documented. Three tracks with practice, criteria and career progression: Engineering, QA and DevOps. It is what our teams follow and what our agents read.
Coverage, maintainability, duplication, reliability and security. Measured, not estimated.
Tech Radar
Our position on every technology that reaches production, across four quadrants and four rings. Nothing lands on the radar without having run in a real client project.
Claude Code and Devin sit in “Assess”, not in “Adopt”. It is the same criterion we apply to a new language. Your codebase deserves the same rigor.

Roberto Padilha
CTO · DB1 Global Software

