Build Better Software with Governed AI
Coding Got Faster. The Bottlenecks Moved.
AI coding assistants have dramatically accelerated code generation. But faster code doesn't automatically mean faster software delivery. Requirements, testing, review, security and documentation still create friction across the lifecycle, while disconnected AI tools can add new complexity instead of removing it.
Wynxx applies AI across the wider lifecycle, so productivity gains don't stop at the IDE.
Beyond Code. Across the SDLC.
Where Wynxx Makes the Difference
Better Requirements. Less Rework.
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Structure business needs into clear, delivery-ready requirements before development begin
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Measured result: Story generation reduced from 30 minutes to 2 minutes.
Testing That Keeps Pace.
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Accelerate test generation and execution without sacrificing coverage.
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Measured result: Test execution reduced from 5 days to 2 hours, with the same 170 test cases per cycle in the referenced engagement.
Faster Review. Faster Resolution.
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Speed up code review, vulnerability detection and remediation across the delivery flow.
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Measured results:
Code review: 3 h → 0.3 h
Code fixes: 45 h → 4 h
Vulnerability detection: 18 h → 2 h
Documentation That Keeps Up.
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Keep technical knowledge current as software evolves, with less manual effort and less dependency on individual experts.
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Measured result: Technical documentation reduced from 32.4 h to 3.3 h.
Proven in Enterprise Delivery
How Bradesco Seguros Turned AI Productivity into Enterprise Impact
The largest insurance group in Latin America overhauled their software delivery process with Wynxx, enabling 80% faster code correction and a 40% productivity gain across the entire Software Development Lifecycle.
