Tag: AI code review
The Deterministic Future of AI-Generated Code
Yechezkel Rabinovich | | AI code generation, AI code review, AI development workflows, automated pull requests, behavioral verification, CI pipeline, code validation, deterministic guardrails, DevOps AI, ebpf, generated code risks, observability, smarter linters, software reliabilityAI has eliminated the bottleneck of writing code—but introduced massive uncertainty in verifying it. This piece explores why deterministic guardrails, smarter linters, and eBPF-driven observability are becoming essential to code review and ...
Vibe Coding Can Create Unseen Vulnerabilities
Jeff Kuo | | AI and cybersecurity, AI automation, AI code review, AI code validation, AI coding ethics, AI development oversight, AI hallucination, AI in app development, AI programming, AI software reliability, AI software security, black-box coding, developer in the loop, Firebase breach, GenAI, low-code platforms, no-code tools, secure coding practices, software quality assurance, technical debtVibe coding uses AI to write software fast — but without developer oversight, it can introduce security flaws, technical debt and compliance risks ...
Sonar Previews Service to Improve Quality of AI Generated Code
Mike Vizard | | AI code quality, AI code review, AI code security, AI model training, AI-generated code, bug reduction, code vulnerabilities, cybersecurity in AI, devsecops, Large Language Models, reinforcement learning, secure coding, software development, Sonar platform, SonarSweepSonar’s SonarSweep improves AI-generated code by reducing bugs and vulnerabilities, helping organizations train more reliable AI models ...
Atlassian Makes AI Coding Agent Generally Available
Mike Vizard | | AI code review, AI coding agent, AI DevOps tools, AI for software development, AI in CI/CD, AI project planning, AI software orchestration, Anthropic MCP, Atlassian AI, Atlassian Compass, Atlassian Team 25, devops automation, DX engineering metrics, Jira integration, Model Context ProtocolAtlassian launches Rovo Dev, an AI coding agent for writing, reviewing, and planning code, bundled with Bitbucket, Compass, and DX in the new Software Collection ...
OpenAI’s GPT-5-Codex: A Smarter Approach to Enterprise Development
Tom Smith | | AI code review, AI in DevOps, complex debugging AI, enterprise AI coding, enterprise software development, GPT-5 for developers, GPT-5-Codex, IDE Integration, long-running tasks AI, OpenAI CodexOpenAI’s GPT-5-Codex is built for real-world enterprise software engineering, handling long-running tasks, complex refactoring, and intelligent code reviews with strong security and IDE integration ...
CodeRabbit Adds CLI Support to Code Review Platform Based on AI
Mike Vizard | | AI code review, AI coding tools, AI in DevOps, AI trust layer, CLI support, code dependencies, code graph analysis, custom pre-merge checks, developer productivity, DevOps workflows, Git repositories, MCP client, Model Context Protocol, open source code review, secure code review, software quality, unit test generationCodeRabbit expands its AI-powered code review platform with CLI support, auto unit test generation, custom pre-merge checks, and an MCP client. Backed by $60M in new funding, CodeRabbit helps developers catch routine ...
Coding at the Speed of AI: Innovation, Vulnerability, and the GenAI Paradox
John Trest | | AI code review, AI Governance, AI hallucinations, AI in DevOps, AI in software development, AI security best practices, AI-generated code vulnerabilities, ChatGPT, cross-site scripting, developer training, devsecops, EU AI Act, GenAI security risks, generative AI, GitHub Copilot, hardcoded credentials, insecure deserialization, Log4Shell AI reproduction, Replit Ghostwriter, secure coding, U.S. Executive Order 14110Generative AI accelerates software delivery but also reintroduces vulnerabilities, making secure coding practices, oversight, and developer training essential for safe adoption ...
