AI coding agent deletes production database and all backups in 9 seconds

AWS Glue 5.1 ships with Spark 3.5.6, Iceberg 1.10.0, and Iceberg v3 format support

AWS Glue 5.1 is now available across all AWS Commercial and GovCloud (US) regions. The release upgrades core engines to Apache Spark 3.5.6, Python 3.11, and Scala 2.12.18. It updates open table format libraries including Apache Hudi 1.0.2, Apache Iceberg 1.10.0, and Delta Lake 3.3.2. New features include Apache Iceberg format version 3.0 support with default column values, deletion vectors, multi-argument transforms, and row lineage tracking. AWS Lake Formation fine-grained access control is extended to write operations (DML and DDL) for Spark DataFrames and SQL, and full-table access control is added for Hudi and Delta Lake tables.

Databricks launches Genie Code autonomous AI agent for Lakeflow data pipelines

Databricks has introduced Genie Code, an autonomous AI agent embedded within the Lakeflow platform that helps data engineers build, orchestrate, monitor, and debug data pipelines using natural language. It supports the full data engineering lifecycle: discovering data assets via Unity Catalog metadata, generating Spark Declarative Pipelines with medallion architecture (Bronze/Silver/Gold layers), configuring Lakeflow Jobs with dependencies and schedules, and diagnosing pipeline failures. Teams can extend Genie Code with custom instructions, agent skills, and MCP server integrations. Future capabilities include background optimization such as auto-sizing clusters and automated failure response.

Amazon Redshift Serverless enables AI-driven scaling by default for new workgroups

Amazon Redshift Serverless now enables AI-driven scaling and optimization by default for all new workgroups. The feature uses machine learning to predict compute needs and adjust resources proactively before queries queue. This update also expands support to workloads with a Base RPU range of 8–512 RPU (down from 32–512 RPU), lowering the entry cost. Users can configure price-performance targets via a slider in the AWS Management Console or API, choosing between cost, performance, or a balance. Additional optimizations like automatic materialized views and automatic table design are also applied automatically.

OpenAI GPT-5.5 launches in private preview on Snowflake Cortex AI

OpenAI GPT-5.5 is now available in private preview on Snowflake Cortex AI, with Snowflake serving as a launch partner for same-day availability. The model can be accessed through Cortex Code, Snowflake Intelligence, Cortex AI Functions (via SQL's AI_COMPLETE), and the Cortex REST API. Key capabilities include improved agentic coding, complex multi-step task execution, structured and unstructured data analysis, and enterprise AI agent development — all within Snowflake's secure, governed perimeter. Developers can integrate using the OpenAI SDK pointed at the Cortex REST API endpoint.

pgBackRest declared obsolete after 13 years as maintainer loses funding

pg_clickhouse adds JSONB pushdown, SQL value functions, and HTTP result streaming

pg_clickhouse, the PostgreSQL extension for querying ClickHouse databases, has received several notable updates. Version 0.1.10 added JSONB accessor operator and function pushdown (including ->, ->>, jsonb_extract_path, jsonb_extract_path_text) that translates to ClickHouse sub-column syntax. Version 0.2.0 improved pushdown for SQL date/time value functions like CURRENT_DATE, CURRENT_TIMESTAMP, clock_timestamp(), and others, ensuring timezone-aware translation to ClickHouse equivalents. Array function pushdown was also added, mapping Postgres functions like array_cat, array_to_string, and string_to_array to their ClickHouse counterparts. Additionally, HTTP result set streaming was introduced, buffering ~50MB at a time instead of loading entire result sets into memory — reducing peak memory usage from 600MB+ to under 86MB when querying large datasets like NYC taxi data.