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AWS Commercial and Professional Services Costa Rica

Novacomp

Application Refactoring

As a leading IT company in Latin America, Novacomp serves a portfolio of clients across many industries, many of whom are increasingly looking to build solutions in the cloud.

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17 years
3 weeks
50 minutes
50 minutes instead of 3 weeks to upgrade 10,000 lines of code

Reported impact

Business outcome

60% reduction on average in technical debt; 50 minutes instead of 3 weeks to upgrade 10,000 lines of code

  • Productivity Improvement
  • Speed to Market

Solution

As a leading IT company in Latin America, Novacomp serves a portfolio of clients across many industries, many of whom are increasingly looking to build solutions in the cloud. To update its legacy code, Novacomp turned to Amazon Q Developer Agent for code transformation , which accelerates application maintenance, upgrades, and migration in minutes. The company automatically upgraded 10,000 lines of Java in 50 minutes rather than the expected 3 weeks. “Using Amazon Q Developer Agent for code transformation, we took the code, recompiled everything, deployed it, and it worked perfectly the first time,” says Arroyo. The upgrade to Java 17 also reduced vulnerabilities in legacy code, lowering Novacomp’s technical debt by an average of 60 percent.

Data flow

Application logic runs on Amazon Bedrock and is surfaced through Amazon Q Developer Agent for code transformation, Amazon Q Developer.

Solution architecture

3 components · 3 layers
  1. Compute
    • Amazon Bedrock Hosts the foundation models and generative AI application logic.
  2. Serving
    • Amazon Q Developer Assists engineers with code generation, troubleshooting, and modernization tasks.
  3. Orchestration
    • Amazon Q Developer Agent for code transformation Automates large-scale code upgrades and modernization steps.

Evidence from the source

As a leading IT company in Latin America, Novacomp serves a portfolio of clients across many industries, many of whom are increasingly looking to build solutions in the cloud.
Founded in Costa Rica in 1998, Novacomp operates in 11 countries, supporting hundreds of companies with outsourcing, quality assurance and software testing, software development and applications, and IT consulting.
Increasingly, Novacomp’s clients are looking to migrate to AWS, implement the latest technologies, build solutions in the cloud, and incorporate AI.
The company automatically upgraded 10,000 lines of Java in 50 minutes rather than the expected 3 weeks.
To facilitate the adoption of cutting-edge technologies, in 2023, Novacomp launched a new division focused on assisting clients with the modernization and optimization of their operations using Amazon Web Services (AWS).
To update its legacy code, Novacomp turned to Amazon Q Developer Agent for code transformation , which accelerates application maintenance, upgrades, and migration in minutes.
Transparency Evidence & methodology 90/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. AWS

    Novacomp customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/novacomp-case-study/
    Source type
    Vendor-published customer story
    Published
    Oct 1, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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