Artificial intelligence has already changed how software gets built. Code can now be generated in minutes, testing can be ...

Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

As new cloud, API, identity and application environments evolve at a rapid pace, continuous security testing is becoming a ...

New root cause analysis technology gives AI coding agents the ability to diagnose application failures and deliver actionable debugging insights with less developer involvement.

Open-source Java projects advance Jakarta EE compatibility, persistence capabilities, and developer tooling as enterprise teams prepare for the next generation of Java applications.

Google’s going to the movies, as it invested $75 million in the hot indie studio A24, along with a pledge to provide AI to ...

Addressing the pervasive challenges within the software development lifecycle (SDLC), such as poorly defined requirements, ...

Neotys, a leader in easy-to-use, load testing and performance monitoring tools for web and mobile applications, today announced NeoLoad 5.2, an enhanced version of its load and performance testing ...

Explore the leading application security tools of 2026 designed for enterprises. Understand their features, pricing models, and integration guidance for Indian and APAC businesses to enhance cyber ...

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The latest flare-up in the debate over AI-assisted coding did not come from a new model release or a benchmark result. It came from a single line of text buried inside a software update. Earlier this ...

Abstract: Test-based automated program repair (TB-APR) techniques automatically fix buggy programs by relying on a failing test suite. This test suite serves a dual purpose: pinpointing bugs and ...