#ai coding agents

GitHub Makes Agentic Workflows Generally Available with Isolation and Budget Controls

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

InfoQ · EN

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

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

InfoQ · EN

JioHotstar Benchmarks Knowledge Bases for AI Coding Agents

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

InfoQ · EN

Google Finds that Technical Debt Can Derail Coding Agents Through "Agent Distraction"

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where AI coding agents get derailed by stale technical debt, such as old TODO comments, obsolete bug references, and outdated specs, leading them to embark on unrequested "side-quests".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

InfoQ · EN

Entire's Git Forge Rethinks Git Collaboration for Coding Agents

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

InfoQ · EN

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

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

InfoQ · EN

numbat – Endpoint Visibility and Forensics for AI Coding Agents

numbat monitors Claude Code, Codex and other AI coding agents and rebuilds their sessions. Tested on a staged session; its blocking is opt-in and narrow.

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