Exploit announced AIDA, a generic AI assistant for the software development lifecycle

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Software distribution platform exploit announced the launch AIDA (AI Development Assistant)One artificial intelligence assistant to streamline software development lifecycle (SDLC) workflows. According to the company, unlike traditional AI applications that mainly focus on code development, AIDA addresses the entire SDLC, including addressing code bugs, security vulnerabilities, and cloud cost administration.

“Our approach ensures that developers have AI-powered support at every stage of the SDLC, which we think is a necessary approach for AI in software delivery to get the full enough potential benefits,” Harish Doddala, VP of product management at Harness, told VentureBeat.

Mining claims their generic AI tool can boost productivity of software engineering teams by 30-50%.

AIDA also provides automatic identification and interpretation of vulnerabilities, based on extensive training with publicly available data such as common vulnerabilities and exposures (CVEs) and tables. Common Weakness List (CWE).


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Using models trained in security best practices and expert knowledge, AI can provide explanations for security vulnerabilities and recommend remedial measures, thereby reducing the time and effort required to fix.

The exploit emphasizes that this feature will assist developers in enhancing application security and maintaining code integrity in SDLC. Any further customization based on specific code requirements will be consistent with the company’s privacy and security policy.

The company says the AI ​​solution can be integrated with all Mining platform processes and capabilities, including continuous integration (CI), continuous deployment (CD), cloud cost management, and more. clouds and flags feature.

Streamline software development through generative AI

Doddala claims that providing developers with automated pinpointing capabilities and insight into the root cause allows them to quickly troubleshoot and resolve issues. This eliminates the need for manual log analysis.

AIDA analyzes log files, compares error messages with known issues, and recommends fixes to troubleshoot and resolve deployment failures. In addition, it uses generalized AI to automatically identify security holes and generate code fixes.

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“What sets our solution apart is the extensive training on known vulnerabilities and weaknesses, allowing it to make targeted and accurate remediation recommendations,” said Doddala. . “This distinguishes AIDA from traditional security testing tools by providing developers with actionable recommendations specific to their codebase and enhancing the overall security of the software. .”

The AI ​​engine, the company claims, also helps developers manage cloud assets using natural languageallowing them to define asset management and cost control policies without resorting to manual programming.

Doddala says the company uses a hybrid approach to ensure data security and secure and exploratory using domain-specific data to train models.

“We do not submit customer proprietary data without the express consent of the customer, and we ensure compliance with appropriate secure protocols and security encryption standards. For the LLMs themselves, we are looking at using pre-trained license-trained data with domain-specific data,” he added. “Mining leverages a combination of our own cloud API and LLM.”

What’s next for Harness?

Doddala says that the first release of AIDA only marks the beginning of its capabilities. In the coming months, AIDA will introduce additional AI functionalities, such as automated code reviews, AI-powered CI/CD pipeline authoring, and AI-powered chaotic engineering experiments. .

Harness’s long-term vision for AI involves continuing general AI innovation and integrating it into the fabric of software delivery.

“As general AI evolves, it will continue to reshape the software development landscape, enabling faster, more efficient, and higher quality software delivery,” said Doddala. “We anticipate that services like AIDA [will] plays an important role in shaping the future of AI-driven software development and empowers developers with these transformative capabilities.”

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