InfoQ - AI, ML & Data Engineering

Presentation: Platform Engineering in the Age of AI

Stéphane Di Cesare, Davide de Paolis, Stephen Cihak, Camila Macedo, Renato Losio — Tue, 08 Sep 2026 14:00:00 GMT

The panelists explain how platform teams adapt to support AI-assisted engineering, highlighting which capabilities belong in the platform. They discuss trade-offs between standardization and developer autonomy, while sharing strategies to manage AI tooling, security guardrails, and shifting workflows.

By Stéphane Di Cesare, Davide de Paolis, Stephen Cihak, Camila Macedo, Renato Losio

GitLab Warns That AI Agent Sandboxes Are Only as Secure as Their Network Access

Craig Risi — Tue, 08 Sep 2026 12:00:00 GMT

GitLab warns that isolating an AI coding agent in a sandbox does not necessarily make the agent safe. In a new security analysis, the company describes an internal evaluation in which an AI agent escaped its sandbox by exploiting a vulnerable package proxy that had been explicitly placed on the sandbox's allowlist.

By Craig Risi

Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation

Zhou Yu — Mon, 07 Sep 2026 11:00:00 GMT

Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn how Columbia and Arklex AI use synthetic user personas, trajectory entropy, and automated CI/CD pipelines to evaluate multi-turn agents, catch edge cases before deployment, and scale self-learning workflows in production.

By Zhou Yu

Google Mantis: an Agentic Vulnerability Scanning Harness for Reducing False Positives

Sergio De Simone — Sun, 06 Sep 2026 12:00:00 GMT

Google has open-sourced Mantis, an AI-agent framework designed to automate the software vulnerability lifecycle, from identifying and validating vulnerabilities to reproducing and fixing them. Google says it developed Mantis to address the high rate of false positives and hallucinated vulnerabilities produced by conventional AI-powered code scanning.

By Sergio De Simone

How Figma Uses AI Agents for Security

Renato Losio — Sun, 06 Sep 2026 06:59:00 GMT

The engineering team at software company Figma recently documented how they built AI agents to help their security team investigate alerts, search past incidents, check company systems, and even prepare code fixes. The agents learn from previous investigations, reducing repetitive work and helping engineers resolve complex alerts about 70% faster.

By Renato Losio

Presentation: A Few Predicted Talks From QConAI 2030

Meryem Arik — Sat, 05 Sep 2026 11:00:00 GMT

Meryem Arik discusses her predictions for software engineering in 2030. She explains how token spend management, parallel agent infrastructure, and non-technical builders will reshape IT. She shares insights on agent-driven vendor decisions, upcoming regulatory hurdles, and why software engineers must pivot from pure coding skills toward product leadership and multi-agent coordination.

By Meryem Arik

Beyond Zero: Google Publishes Successor to BeyondCorp

Renato Losio — Sat, 05 Sep 2026 10:40:00 GMT

In a recent research paper, Google introduced Beyond Zero, a “security model for the AI era” that extends Zero Trust to autonomous AI agents. The new approach moves access decisions from the application level to individual resources and actions, combining static authorization controls with dynamic AI-driven decisions to enable machine-speed enforcement for humans and agents.

By Renato Losio

Redefining GIS: Declarative Symbology and Collaborative Workflows in JupyterGIS

Olimpiu Pop — Sat, 05 Sep 2026 05:05:00 GMT

JupyterGIS is a GIS-focused extension for Jupyter notebooks. The recent 0.16 release enhances collaborative features, real-time editing, and support for large-scale data processing, including remote sensing. It introduces better visualisation tools and extends compatibility to R users. Community feedback highlights practical concerns and a desire for improved portability.

By Olimpiu Pop

Mini book: Next-Gen Architecture Playbook: Insights and Patterns for the AI Era

InfoQ — Fri, 04 Sep 2026 11:00:00 GMT

This eMag examines how architects can lead with clarity in a rapidly evolving engineering world, distilling industry insights into field-tested practices for teams. Together, these stories reveal a core theme: the technology leader’s role is expanding from building systems to guiding how tech behaves and learns, while enabling engineers and organizations to bring out their best.

By InfoQ

Presentation: From S3 to GPU in One Copy: Rethinking Data Loading for ML Training

Onur Satici — Fri, 04 Sep 2026 11:00:00 GMT

Onur Satici explains how Vortex, an open-source columnar file format under the Linux Foundation, revolutionizes high-throughput data loading. He details how cascading lightweight encodings, layout-based segment pruning, and zero-copy memory pipelines eliminate CPU/NVMe bottlenecks to stream S3 data straight to GPUs at speeds up to 60 Gbps without requiring upfront data reprocessing.

By Onur Satici

Copilot Code Review Reaches Azure Repos, Billed Per Review with Reporting Two Days behind

Steef-Jan Wiggers — Fri, 04 Sep 2026 10:01:00 GMT

Microsoft opened GitHub Copilot code review for Azure Repos to all Azure DevOps customers, after acknowledging that many are not ready to migrate to GitHub. Reviews bill per use through the linked Azure subscription and appear in Cost Management 48 hours later. Budgets notify but do not stop reviews, and concurrency caps at five per organization.

By Steef-Jan Wiggers

Shopify Introduces Gisting: Compressing LLM System Prompts into Learned Tokens

Sergio De Simone — Thu, 03 Sep 2026 20:00:00 GMT

Shopify's engineering introduced gisting, a novel technique for compressing long LLM prompts into a smaller set of learned "gist" tokens, improving throughput and reducing inference cost.

By Sergio De Simone

Cohere’s Parse 5 Promises Efficient Multi-Modal Information Extraction from Complex Documents

Olimpiu Pop — Thu, 03 Sep 2026 06:06:00 GMT

Cohere has launched Parse 5, a multimodal foundation model designed to extract structured data from complex enterprise documents. The 2.3-billion-parameter system converts visually rich PDFs into Markdown while providing bounding box coordinates for visual grounding. It has been evaluated against over 2,000 enterprise pages, achieving an average score of 79.2 in key performance areas.

By Olimpiu Pop

Swiggy Uses 350+ Features and Multi-Task MLP to Predict Customer Lifetime Value

Leela Kumili — Wed, 02 Sep 2026 13:55:00 GMT

Swiggy developed an in-house predicted lifetime value model using more than 350 pre order features and a multi task MLP for Food and Instamart. Adding order count as an auxiliary task reduced model parameters by 63% while improving predictive performance. The pLTV signal is used with Google Target ROAS bidding to optimize customer acquisition.

By Leela Kumili

Presentation: Beyond Prompting: Context Engineering for Production-Grade AI

Ricardo Ferreira — Wed, 02 Sep 2026 11:00:00 GMT

Ricardo Ferreira discusses moving beyond simple prompt engineering to build production-grade AI applications. He shares practical architectural strategies for integrating long-term and short-term memory using Redis, managing LLM token limits via summarization, mitigating context rot with reranking and semantic caching, and controlling exponential API costs under strict latency constraints.

By Ricardo Ferreira