DevHawk, an AI-powered project management agent developed by the team behind Fraction, has launched to proactively address coordination challenges in distributed software engineering teams by connecting to tools like Jira, Linear, and Asana and taking automated action before issues escalate.
Quick Intel
Distributed software teams, especially those relying on fractional and global talent, face escalating coordination overhead that traditional project management software has failed to resolve. Despite an industry generating $6 billion in annual revenue, the Project Management Institute reports that 70% of projects still miss their goals. DevHawk changes this dynamic by using AI agents to monitor workflows continuously and intervene automatically when risks emerge.
From Internal Tool to Proactive AI Agent The DevHawk team developed the agent internally at Fraction—a platform connecting startups with fractional engineering talent—while managing over 150 engineering teams. Project managers repeatedly encountered the same patterns: delayed updates, unexpected stalls, idle developers, and last-minute surprises. What began as internal automation evolved into a standalone product designed to eliminate manual chasing and status ping-pong.
"We built this because we were living the problem every day," said Praveen Ghanta, CEO of DevHawk and founder of Fraction. "Our project managers were seeing the same issues across every team, chasing updates, getting blindsided by delays, and losing hours each week to status check-ins. DevHawk started as internal tooling to help us stay ahead of delivery issues, and now it automates the glue work so humans can focus on the real work."
Core Capabilities for Proactive Management DevHawk integrates seamlessly with Jira, Linear, Asana, Slack, and Teams, pulling real-time data to surface and act on potential bottlenecks:
Intelligent Stall Alerts When a ticket lingers beyond expected norms, DevHawk automatically initiates a focused conversation with the assigned developer in their preferred messaging tool, prompting updates or surfacing blockers early.
Zero Task Detection The agent identifies developers whose queues are depleting before they become idle, enabling project managers to reassign work or adjust priorities proactively.
Velocity Trend Analysis DevHawk tracks team momentum and flags early declines in velocity, allowing teams to address capacity or process issues before they impact sprint outcomes.
AI-Calculated Story Points Using consistent benchmarks and historical patterns, DevHawk generates reliable complexity estimates to reduce guesswork and improve planning accuracy.
"Traditional tools ask, 'How do we give PMs better visibility?'" said Ghanta. "DevHawk asks, 'How do we actually manage the work?' That shift only became possible with the latest generation of large-language models."
Addressing the Coordination Tax in Modern Teams As fractional and globally distributed models become standard, the hidden cost of coordination continues to rise. DevHawk reduces this burden by automating routine oversight, enabling project managers to shift from reactive firefighting to strategic leadership. Early adopters have reported meaningful time savings on follow-ups and quicker identification of at-risk work.
"Herding cats is inevitable," Ghanta added. "But now, AI can take on the glue work. That's what DevHawk is built to do."
With its rapid setup and immediate value, DevHawk positions itself as a practical step toward AI-augmented project management for engineering organizations of all sizes.
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