Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
No-Nonsense Code-to-Cloud Security for Devs | Aikido
Connect your GitHub, GitLab, Bitbucket, or Azure DevOps account to start scanning your repos for free.
Aikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
lcc backend which produces java classes from C input. Although inefficient code is produced, C functionality such as function pointers and gotos are maintained.
A universal site architecture with many modules. It will include a login, security, recommended directory/file structure, template, database class generator, and more. Allow site administrators to easily setup a modular and consistent site architecture.
The application takes the pseudo code as an input and generates the necessary C
code for the same logic. Thus the software can be used to produce the results just with
the use of logic and there is no special importance given to a specific language in which
the pseudo code should be implemented, instead there is a complete focus on the logic
itself. The system to be designed must be user friendly, so that even if the end user or
the client is technically illiterate he should be able...
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Logical Neighborhoods is a a high-level programming abstraction for wireless sensor networks that simplifies the development of fully distributed, embedded networked applications.