Utter debuts agent-centric project management platform

// 2h agoPRODUCT LAUNCH

Utter debuts agent-centric project management platform

Utter is a collaborative project management platform designed to integrate human teams with AI agents as first-class team members. It offers a shared workspace with review gates for agent-proposed changes, live session monitoring, and a first-party Model Context Protocol (MCP) server.

// ANALYSIS

By elevating AI agents from simple background integrations to named, collaborative team members with built-in governance, Utter paves the way for the future of agentic workflows in software engineering.

* **Unified Workspace**: Integrating boards, backlogs, and docs alongside live agent sessions ensures humans and AI agents operate with a shared source of truth.

* **Granular Governance**: The introduction of review gates for agent-proposed board changes prevents unauthorized modifications while maintaining productivity.

* **First-Party MCP Support**: Exposing a Model Context Protocol server simplifies the integration of external development agents and custom coding assistants.

* **Operational Auditing**: Live session tracking allows teams to monitor agent behaviors in real time, easing debugging and build verification.

// TAGS

task-managementartificial-intelligencedevelopmentmcpcollaborationproject-managementtool-use

DISCOVERED

2h ago

2026-07-18

PUBLISHED

8h ago

2026-07-18

RELEVANCE

9/ 10

AUTHOR

Omar Haris

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

MODEL16m ago

OpenRouter adds nine new AI models

Unified API provider OpenRouter has added nine major new AI models to its platform, highlighted by Moonshot AI's Kimi K3, Meta AI's Muse Spark 1.1, and Thinking Machines Lab's Inkling. The additions provide developers with immediate API access to these frontier systems for tasks ranging from long-horizon coding and tool use to multimodal reasoning.

UPDATE58m ago

Tesana automates character weapon rigging

Tesana AI has rolled out an engine upgrade that automates character weapon and item attachments, bypassing the tedious manual rigging process. By automatically handling grip points and alignment, the engine allows developers to speed up asset importing and focus on core game design.

BENCHMARK1h ago

GLM-5.2 matches closed models on cyber tasks

The UK AI Security Institute (AISI) has released evaluation results from testing leading open-weight AI models against closed frontier systems on practical cyber work, such as vulnerability research, reverse engineering, exploitation, and multi-step network attacks. The benchmark results indicate that the performance gap between open-weight and closed-weight models is shrinking rapidly, with Z.ai's open-weight GLM-5.2 matching the cyber capabilities of closed frontier models released just four to seven months prior.