Amazon Web Services (AWS) today previewed a customizable lightweight, open-source harness, dubbed Simple Strands Agent (SSA), that looks to provide a more consistent approach to the interactions that occur between artificial intelligence (AI) coding tools. Anoop Deoras, director of applied science for agentic AI at AWS, said one of the issues that has arisen in […]
Harness Adds Pair of Tools to Track ROI in AI Coding
Harness today added two tools to track and analyze the impact code generated by artificial intelligence (AI) coding tools is having on application development. An AI Development Lifecycle (DLC) tool installs agent software on a developer’s machine to track adoption, sessions, and the code created across every coding agent, while a Cloud & AI Cost […]
Cursor’s Composer 2.5 Brings Smarter, More Reliable AI Coding Agents
AI-assisted coding tools are getting a meaningful upgrade. Cursor has released Composer 2.5, the latest version of its proprietary coding agent model, and the improvements go well beyond a version bump. Composer 2.5 is described as a substantial improvement in intelligence and behavior over its predecessor, Composer 2. It handles sustained work on long-running tasks […]
AWS Extends Scope of AI Engines Embedded in Kiro Coding Tool
Amazon Web Services (AWS) today added additional capabilities to its Kiro artificial intelligence (AI) coding tool that promise to further reduce the time and effort needed to build software. Kiro now includes a Parallel Task Execution engine that accelerates application development by eliminating the need to complete a set of tasks sequentially, along with a […]
Reimagining AI-Assisted Coding for Team Scale in Enterprises
AI coding tools have advanced rapidly, but most are still designed around the individual developer. Their effectiveness depends heavily on a user’s ability to write understandable prompts, preserve architectural coherence across sessions, and identify areas that require additional work. This model works for some engineers, but it is far less dependable for a large organization’s […]
Google CEO Says 75% of New Code is AI-Generated
The era of the “human-only” software engineer is rapidly receding into the rearview mirror. Google CEO Sundar Pichai revealed Wednesday that a whopping 75% of the company’s new code is now generated by artificial intelligence (AI), marking a major shift in how the tech giant builds its products. The velocity of this transition has caught […]
GitHub Introduces Stacked PRs to Ease Review Bottlenecks
GitHub’s new Stacked Pull Requests feature restructures how developers submit and review changes by allowing large code updates to be broken into smaller, interdependent units. With Stacked PRs, each unit can be reviewed and merged individually while still contributing to the overall feature set. The approach helps developers shift away from monolithic pull requests, which […]
Appknox Adds AI Tool to Detect and Fix Vulnerabilities in Mobile Applications
Appknox today added an ability to apply artificial intelligence (AI) to assess vulnerabilities in the binaries used to construct a mobile application and recommend a fix that can be passed on to an AI coding tool to implement. Company CEO Harshit Agarwal said KnoxIQ provides an AI copilot to more accurately assess how exploitable a […]
Zencoder Adds OpenClaw Alternative to AI Coding Portfolio
Zencoder today extended its artificial intelligence (AI) agent platform for generating code to include an offering that enables application developers to automate a range of tasks that go well beyond writing code. Company CEO Andrew Filev said Zenflow Work takes advantage of the core orchestration platform that Zencoder created to automate planning, reporting and communication […]
Giving AI Agents the Keys to Real Infrastructure
AI coding assistants can generate pull requests faster than most teams can review them, and that mismatch is creating a new kind of bottleneck across engineering organizations. The volume of AI-generated code is growing rapidly, but without a reliable way to validate that code against real production environments, teams are left choosing between slowing down […]
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