Mabl proclaims updates to Agentic Testing Teammate
The Agentic Testing Teammate works alongside human testers to make the method extra environment friendly. New updates embrace AI vectorizations and check semantic search, enhancements to check protection, and enhancements to the MCP Server that allow testers to do numerous duties immediately inside their IDE, together with Check Impression Evaluation, clever check creation, and failure suggestions.
“This new work is constructed on the concept an agent can turn out to be an integral a part of your testing group,” stated Dan Belcher, co-founder of mabl. “Not like scripting frameworks and general-purpose massive language fashions, mabl builds deep information about your software over time and makes use of that information to make it–and your group–simpler.”
Couchbase 8.0 provides three new vector indexing and retrieval capabilities
These new capabilities are designed to help various vector workloads that facilitate real-time AI functions.
Hyperscale Vector Index relies on the DiskANN nearest-neighbor search algorithm and allows operation throughout partitioned disks for distributed processing. Composite Vector Index helps pre-filtered queries that may scope the particular vector being sought. Search Vector Index helps hybrid searches containing vectors, lexical search, and structured question standards in a single SQL++ request.
Anthropic expands reminiscence to all paid Claude customers
Anthropic introduced that the current reminiscence characteristic in Claude is being rolled out to Professional and Max plan customers, making it out there to all paid customers now.
Reminiscence was initially introduced in early September, however was solely out there to Workforce and Enterprise customers to start with.
Reminiscence permits Claude to recollect your tasks and preferences so that you just don’t have to re-explain necessary context throughout classes. “Nice work builds over time. With reminiscence, every dialog with Claude improves the following,” Anthropic wrote in its preliminary announcement.
Harness brings vibe coding to database migration with new AI-Powered Database Migration Authoring characteristic
Harness is on a mission to make it simpler for builders to do database migrations with its new AI-Powered Database Migration Authoring characteristic. This new functionality permits customers to explain schema modifications in pure language to obtain a production-ready migration.
For instance, a developer may ask “Create a desk named animals with columns for genus_species and common_name. Then add a associated desk named birds that tracks unladen airspeed and correct title. Add rows for Captain Canary, African swallow, and European swallow.”
Harness’ platform would then analyze the present schema and insurance policies, generate a backward-compatible migration, validate the change for security and compliance, commit it to Git for testing, and create rollback migrations.
Crimson Hat Developer Lightspeed brings AI help to Crimson Hat’s Developer Hub and migration toolkit
Crimson Hat Developer Lightspeed has been built-in into each the Crimson Hat Developer Hub and the migration toolkit for functions (MTA).
Within the Crimson Hat Developer Hub, it acts as an assistant to hurry up non-coding duties, like exploring software design approaches, writing documentation, producing check plans, and troubleshooting functions.
Within the migration toolkit, Crimson Hat Developer Lightspeed automates supply code refactoring inside the IDE. It leverages MTA’s static code evaluation to grasp migration points and the way to repair them, and in addition improves over time by studying what made previous modifications profitable.
GitKraken releases Insights to assist corporations measure ROI of AI
GitKraken, an organization that focuses on enhancing the developer expertise, introduced the launch of GitKraken Insights to supply corporations with higher insights into AI’s affect on developer productiveness.
In response to the corporate, whereas many engineering groups have adopted AI at this level, it’s nonetheless a problem to show AI’s ROI. GitKraken additionally believes that conventional engineering metrics weren’t designed for the AI period.
“DORA metrics can let you know if deployment frequency modified, however they’ll’t let you know why,” the corporate wrote in a weblog submit. “Pull request counts would possibly go up, however is that as a result of builders are extra productive, or as a result of AI is producing code that requires extra evaluation cycles?”
GitKraken Insights brings collectively a number of completely different metrics—DORA metrics, code high quality evaluation, technical debt monitoring, AI affect measurement, and developer expertise indicators—to color an image of what’s occurring inside the growth lifecycle.
MariaDB unifies transactional, analytical, and vector databases in MariaDB Enterprise Platform 2026 launch
MariaDB’s Enterprise Platform 2026 launch was introduced this week, with the promise that it’ll act as “the definitive database platform for constructing next-generation clever functions.”
To help agentic AI, the corporate added native RAG for grounding LLMs with context from MariaDB without having embeddings, vector shops, or retrieval pipelines. The corporate additionally added ready-to-use brokers inside the platform, together with a developer copilot that connects to the database and may reply to pure language queries, and a DBA copilot that may handle duties like efficiency tuning and debugging.
Moreover, the corporate added an built-in MCP server in order that brokers can work together with MariaDB databases. The MCP interface in MariaDB permits customers to combine vector search, LLMs, and customary SQL operations, and permits brokers to launch serverless databases within the cloud.
Spotify Portal now usually out there and full of options for enhancing dev expertise
Spotify Portal for Backstage offers builders with a ready-to-use model of Backstage, its open supply answer for constructing inner developer portals (IDPs).
AiKA, which is an AI assistant for Portal, can now connect with third-party MCP servers and set off actions in Portal. AiKA itself additionally features as an MCP server, permitting builders to attach it as much as instruments like Cursor or Copilot and entry Portal information.
“The overall availability of Spotify Portal marks a pivotal second in how organizations construct, measure, and optimize developer expertise. What started as an inner instrument for Spotify engineers is now a fully-fledged platform for enterprises, combining the reliability of Backstage, the perception of Confidence, and the velocity of AI-driven workflows,” Spotify wrote.
Sonar proclaims new answer to optimize coaching datasets for coding LLMs
Sonar, an organization that focuses on code high quality, introduced a brand new answer that can enhance how LLMs are skilled for coding functions.
In response to the corporate, LLMs which can be used to assist with software program growth are sometimes skilled on publicly out there, open supply code containing safety points and bugs, which turn out to be amplified all through the coaching course of. “Even a small quantity of flawed information can degrade fashions of any measurement, disproportionately degrading their output,” Sonar wrote in an announcement.
SonarSweep (now in early entry) goals to mitigate these points by making certain that fashions are studying from high-quality, safe examples.
It really works by figuring out and fixing code high quality and safety points within the coaching information itself. After analyzing the dataset, it applies a strict filtering course of to take away low-quality code whereas additionally balancing the up to date dataset to make sure it’s going to nonetheless provide various and consultant studying.