Luc Perard
Grappling With Clunky Old Software? Start by Understanding What’s Inside!
#1about 3 minutes
The pervasive challenge of working with legacy software
Most developers work on existing, undocumented code, creating significant business challenges across all industries.
#2about 5 minutes
Business drivers for modernizing complex applications
Key challenges like application modernization, improving developer productivity, and conducting software assessments for M&A drive the need for deep code understanding.
#3about 2 minutes
Understanding the root causes of software complexity
The complexity of modern applications stems from massive codebases, numerous interconnected technologies, and millions of code element dependencies.
#4about 2 minutes
The limitations of manual code analysis methods
Relying on outdated documentation, interrupting subject matter experts, or manually reading code is inefficient, incomplete, and unreliable for understanding complex systems.
#5about 4 minutes
Introducing CAST Imaging as an MRI for your software
CAST Imaging automatically analyzes source code and database scripts to create an interactive architectural blueprint of an application's inner workings.
#6about 2 minutes
Using software intelligence to accelerate modernization
Visualize application architecture to identify candidates for microservices, isolate outdated frameworks, and use advisors to plan cloud migrations.
#7about 3 minutes
Boosting developer productivity and faster onboarding
New developers can ramp up significantly faster by exploring application transaction flows visually, reducing the need to manually dig through code.
#8about 4 minutes
Assessing software quality with structural analysis
Use automated dashboards based on ISO 5055 standards to measure structural quality, identify critical flaws, and manage technical debt.
#9about 5 minutes
Q&A on tech stack, pricing, and generative AI
The tool's tech stack includes C++ and Go, pricing is per application based on size, and it provides deterministic context for generative AI rather than using it for analysis.
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+1
Matching moments
01:32 MIN
Organizing a developer conference for 15,000 attendees
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03:17 MIN
Selecting strategic partners and essential event tools
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04:57 MIN
Increasing the value of talk recordings post-event
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04:22 MIN
Why HR struggles with technology implementation and adoption
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03:39 MIN
Breaking down silos between HR, tech, and business
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04:27 MIN
Moving beyond headcount to solve business problems
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03:15 MIN
The future of recruiting beyond talent acquisition
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03:28 MIN
Why corporate AI adoption lags behind the hype
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