Available for consulting

AI-Powered Productivity
for Software Teams

I help development teams adopt AI tools that actually work โ€” turning research hype into measurable gains. Not theory. Real-world experience from daily production use.

What the data shows about
AI in software development

80%
time reduction per task
67%
more PRs merged per engineer/day
12×
speedup on complex tasks

Sources: Anthropic Economic Index (Jan 2026), Anthropic Internal Study (Dec 2025) โ€” 2M real conversations analysed

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These are real-world measurements from production teams, not projections โ€” and the gains depend on how you adopt.

What I do every day with AI

Real-world experience, not theory โ€” daily use in production serving 100,000+ customers.

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Code Generation & Refactoring

Using AI assistants (Claude Code, Copilot) to generate, refactor and document code in large-scale Rails projects with multiple microservices.

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CI/CD & Review Automation

AI agents to monitor pipelines, automatically analyse PRs and identify issues before merge โ€” catching problems humans miss.

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Debugging & Problem Solving

AI as a pair programmer to diagnose complex bugs, analyse logs and propose solutions across interconnected microservices.

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Workflow & Communication

Automation of translations, ticket analysis, technical documentation generation and reporting โ€” the invisible work that eats your team's time.

Platform: TIDY ยท 100,000+ customers ยท Multiple Ruby/Rails microservices

How I can help your team

A structured approach that delivers results at every stage, not a vague promise.

Phase 01

Assessment

1โ€“2 weeks
  • Analysis of the team's current workflow
  • Identification of bottlenecks
  • Mapping AI opportunities
  • Report with quick wins
Phase 02

Implementation

4โ€“8 weeks
  • AI tooling setup
  • AI skills and agent development
  • CI/CD pipeline integration
  • Hands-on team training
Phase 03

Ongoing Support

Ongoing
  • Productivity metrics
  • Continuous optimisation
  • New tools and updates
  • Monthly advisory

Expected results

What changes when your team has the right AI setup.

Before
After
Manual and time-consuming code reviews
โœ“AI-assisted reviews with intelligent suggestions
Debugging by trial and error
โœ“Rapid diagnosis with AI pair programming
Documentation often neglected
โœ“Documentation generated automatically
Repetitive tasks consume valuable time
โœ“Automation of boilerplate and routines
Slow onboarding for new developers
โœ“New devs productive in days, not weeks
Anthropic's own engineers report 50% productivity gains and 67% more PRs merged daily (Dec 2025)

Luiz Claudio Moreira

Senior AI Engineer โ€” not a consultant who read a blog post.

  • Senior AI Engineer at TIDY (100k+ customers)
  • Backend specialist: Ruby/Rails, microservices
  • Creator of "O Programador do Futuro" course
  • Daily hands-on use of AI in development
  • Based in Portugal since 2018
Tools I Use
Claude Code / Claude AI
GitHub Copilot
Custom AI Agents
Automated Code Review
CI/CD AI Monitoring
AI Workflow Design

Shall we get started?

Book a complimentary 1-hour assessment. We'll look at your stack, your challenges, and find the quick wins.