DevEngage.AI
AI as a real member of your development team
Integrate generative AI into your development lifecycle in a secure, governed and measurable way
AI as a real member of your development team
Integrate generative AI into your development lifecycle in a secure, governed and measurable way
GitHub Copilot and other AI tools appear spontaneously in teams, without governance, best practices or clear impact metrics.
Tests and documentation remain repetitive tasks that are postponed or rushed, generating technical debt.
AI initiatives remain experiments that don't impact the real workflow or final product quality.
Teams are under pressure: more features, faster, with more quality and security, without additional resources.
A consulting and coaching service that integrates generative AI into the complete development lifecycle, treating it as another team member.
We design how AI integrates into your SDLC: which tasks to delegate, which not, and how to validate output.
Specs are the center of the flow: AI generates code, tests and documentation aligned to specifications.
Generation and maintenance of tests, documentation, comments, changelogs and suggested refactors.
Works with Scrum, Kanban, Scrumban, SAFe and variants. We don't ask you to change your methodology.
More tests, more documentation, less technical debt thanks to automation.
The team is freed from mechanical tasks and focuses on high-value decisions.
Increase production without burning out the team, changing how software is produced.
AI helps reinforce best practices and detect insecure patterns.
We measure impact: cycle times, test coverage, updated documentation.
Adapts to your way of working: Scrum, Kanban or any variant.
We survey your stack, current process and AI usage. We detect value opportunities.
We define the role of AI and design flows compatible with your ceremonies.
We configure tools, implement SDD and create real examples in your repo.
Workshops, coaching on real PRs and definition of tracking metrics.
DevEngage.AI adapts to your technological and methodological reality
Java, Python, Node.js, .NET, Go, front-end, data/ML and more
Scrum, Kanban, Scrumban, SAFe, hybrid and custom models
Let's talk about how DevEngage.AI can transform the way you develop software
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