Jira

2026-11-02

COMPANIES · 1 SOURCE · InfoQ AI, ML & Data Engineering

Uber builds MCP Gateway to govern access to 800+ servers and 5,000+ AI agent tools

Uber has built an MCP Gateway that standardizes discovery, invocation, authorization, and execution for internal AI agent tools, supporting more than 800 MCP servers and over 5,000 tools. The design separates a control-plane MCP Registry (tool definitions, schemas, ownership, enablement) from a Proxy Gateway (runtime protocol translation and execution), and includes AutoCrawler for automated tool discovery, Omni MCP for incremental discovery, PII redaction, and integrations for third-party auth.

7.0

2026-10-22

RESEARCH · 1 SOURCE · InfoQ AI, ML & Data Engineering

Harvard–Jellyfish study: AI coding tools raise code volume but not completed work due to review bottlenecks

A Harvard study using Jellyfish data (≈300 million work events across ~700 firms, Jan 2021–Mar 2026) finds AI coding assistants modestly increase code output (lines +12%, commits +9%, PRs +5%; only commits statistically significant) while AI agents produce larger increases (lines +30%, commits +20%, PRs +23%). Despite more code, assistants did not increase resolved Jira issues and agents raised resolved issues by only 12%, with significant downstream impacts: average PR review time +49%, comments per PR +53%, share of PRs requiring changes doubled, and share of engineers performing reviews +14%—suggesting review and other complementary stages are bottlenecks.

7.0

2026-10-07

COMPANIES · 1 SOURCE · AWS Machine Learning

Cornerstone’s Orion AI (on Amazon Bedrock) cuts database diagnosis time by 78%

Cornerstone OnDemand built a multi-agent system called Orion AI using Amazon Bedrock and the Strands Agents orchestration framework; the company reports database diagnosis time fell from about 45 minutes to 10 minutes (a 78% reduction), alert noise dropped a median 65%, and a three-person team delivered the system in six months. Orion AI coordinates specialized agents for monitoring, diagnostics, lifecycle operations and remediation, integrates with existing tools (e.g., SQL Server and Jira), and emphasizes data-privacy controls and domain-specific agent design.

7.0

2026-10-05

COMPANIES · 1 SOURCE · Cohere

PwC and Cohere form global alliance to deploy Cohere's North for secure enterprise AI, launching in Canada

PwC and Cohere announced a global alliance, launching first in Canada, to help organizations deploy Cohere’s North — a secure agentic AI platform — and turn AI investments into measurable business value. The collaboration pairs Cohere’s enterprise models, search and retrieval capabilities, and deployment options (private cloud, on‑premises, air‑gapped) with PwC’s industry, risk, regulatory, technology, and transformation expertise to identify use cases, connect AI to trusted enterprise data and systems, and establish governance for scaled, responsible deployment.

7.0

2026-09-28

COMPANIES · 1 SOURCE · The Verge AI

Atlassian CEO Mike Cannon-Brookes on AI, org changes, and why chatbots aren’t the future

Atlassian CEO Mike Cannon-Brookes spoke with The Verge’s Decoder about how AI is affecting enterprise software, arguing it has so far increased usage of Atlassian’s platform rather than destroying SaaS, and discussed recent layoffs, a new organizational mix of skills, and his view that chatbots are not the future of work.

6.0

2026-09-24

COMPANIES · 1 SOURCE · AWS Machine Learning

Aderant deploys Intelligent Ticket Analyzer using Amazon Nova Lite via Bedrock

Aderant built an Intelligent Ticket Analyzer that uses Amazon Nova Lite through Amazon Bedrock to automate context gathering, classification, routing, and knowledge enrichment for support tickets across 268 client environments. In the first 2.5 weeks (June 30–July 17, 2026) it reviewed 109 tickets with ~96% routing accuracy, estimates saving 8–14 engineering hours per week, and ran at under $30/month operating cost.

6.0

2026-09-18

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

DoorDash uses multi-agent LLMs to automate cleanup of 60,000 feature flags

DoorDash built a multi-agent LLM workflow (using Google’s Agent Development Kit and Claude models) to identify and remove stale feature flags across ~623 repositories and ~60,000 flags. In a 50-flag evaluation the system produced usable pull requests for 45 flags, averaging 13.8 minutes and $4.79 per cleanup, running agents in isolated Git worktrees, validating builds/tests/coverage, and integrating with Jira and the Model Context Protocol (MCP).

7.0

2026-06-24

COMPANIES · 1 SOURCE · Mistral AI

Mistral Studio expands Connectors with admin controls, scoped API keys, multi-account support, and debugger

Mistral Studio rolled out several Connectors features: enriched admin controls (GA) to set connector/tool access per org or workspace, API keys with connector scopes (GA), multi-account connectors (GA), Connectors Debugger (public preview), Connectors in Vibe Code (GA), and Connectors in Workflows (public preview). The connector directory now lists 60+ integrations and custom MCP options are available; the features are live in Studio.

7.0

2026-05-28

CODING · 1 SOURCE · Mistral AI

Mistral launches Vibe — unified AI agent for work and code

Mistral announced Vibe, a unified AI agent that handles long-running, multi-step work (in Work Mode) and coding workflows (in Code Mode). Vibe replaces Le Chat, runs on Mistral’s flagship models, offers a VS Code extension and CLI, integrates with enterprise tools (Google Workspace, Outlook, SharePoint, Slack, GitHub, etc.), and is available in Free, Pro, Team, and Enterprise plans.

7.0