InfoQ - AI coding agents

GitHub Makes Agentic Workflows Generally Available with Isolation and Budget Controls

Mark Silvester — Wed, 11 Nov 2026 17:00:00 GMT

GitHub Agentic Workflows is generally available, running coding agents in GitHub Actions with read-only defaults and separately scoped write jobs. Those protections do not cover direct write permissions or custom jobs, so they depend on how each workflow is configured.

By Mark Silvester

JioHotstar Benchmarks Knowledge Bases for AI Coding Agents

Leela Kumili — Wed, 11 Nov 2026 14:28:00 GMT

JioHotstar evaluated 6 approaches to code retrieval for AI coding agents using SWE, CodeScale Bench, and an internal question-answering harness. Structural search performed well on concrete tasks, while semantic retrieval helped with ambiguous requirements. The findings highlight trade-offs in accuracy, token use, and tool design, underscoring the need to match retrieval tools to task types.

By Leela Kumili

How LinkedIn, Netflix & DoorDash Run Agents, Evals & Inference in Production: QCon AI New York 2026

Artenisa Chatziou — Wed, 11 Nov 2026 11:00:00 GMT

QCon AI New York has published its full program for December 15–16, 2026. Engineers from LinkedIn, Netflix, DoorDash, Figma, Pinterest, Honeycomb, Harvey, Google DeepMind and OpenAI describe AI systems they run in production. Talks cover agent permissions and guardrails, eval loops, inference cost, AI code review, and team adoption.

By Artenisa Chatziou

Google Finds That Technical Debt Can Derail Coding Agents through "Agent Distraction"

Sergio De Simone — Tue, 10 Nov 2026 18:00:00 GMT

In a recent article, Google senior staff software engineer Sam Saccone and senior staff data scientist Madhuri Garikapati highlighted the cost of agent distraction, where AI coding agents get derailed by stale technical debt, such as old TODO comments, obsolete bug references, and outdated specs, leading them to embark on unrequested "side-quests".

By Sergio De Simone

Entire's Git Forge Rethinks Git Collaboration for Coding Agents

Sergio De Simone — Sun, 08 Nov 2026 11:00:00 GMT

Entire is a Git forge designed specifically for collaboration between human developers and AI coding agents. Its premise is that traditional software development infrastructure, particularly the pull request (PR) model, is not well suited to an environment where AI agents generate, review, and iterate on code at high speed.

By Sergio De Simone

GitLab 19.5 Makes Agentic Development a Governed Part of the DevOps Platform

Craig Risi — Fri, 06 Nov 2026 12:00:00 GMT

GitLab 19.5, released on October 15, puts agentic software development and governance at the centre of the platform, making its GitLab MCP server generally available while expanding how external AI agents can interact with GitLab.

By Craig Risi

Google Launches LiteRT Tensor API for Building, Customizing, and Optimizing ML Models for On-Device

Sergio De Simone — Tue, 03 Nov 2026 19:00:00 GMT

Google has introduced the LiteRT Tensor API, a lightweight C++ API that allows developers to build, customize, and optimize machine learning models directly for on-device execution. According to Google, it combines the flexibility of native model authoring with cross-platform portability.

By Sergio De Simone