Devplan raises $2.5M seed to tackle the coordination 'work about work' AI coding leaves behind
What's the deal? DevplanDealroom has a profile for this one. Try Dealroom →, a Seattle startup, has emerged from stealth with $2.5M in seed funding to tackle the coordination overhead that still bogs down product and engineering teams — even as AI accelerates the coding itself. The round was led by AI2 IncubatorDealroom has a profile for this one. Try Dealroom →, with participation from Acequia Capital, Mighty CapitalDealroom has a profile for this one. Try Dealroom →, Grand VenturesDealroom has a profile for this one. Try Dealroom →, and eLab VenturesDealroom has a profile for this one. Try Dealroom →.
The company was co-founded in 2025 by Chris Bee (chief executive officer) and Anton Safonov (chief technology officer), who met on a youth soccer pitch where their kids played. Both had run engineering teams at companies including Uber, AmazonDealroom has a profile for this one. Try Dealroom →, Snap, and Meta, and shared a frustration: too much of the work had nothing to do with building the product.
Devplan's core product, Weaver, connects to tools like GitHub, Jira, Slack, and meeting note-takers. Users can query it via chat, a Slack bot, or directly from AI coding tools like Claude Code — asking about project status, feature progress, or ownership. Weaver also works in the background, generating daily digests and flagging risks without anyone filing an update.
Why now? AI coding tools have dramatically sped up the engineering side of software development, but the meetings, status reports, and cross-team coordination around that work haven't kept pace. Bee calls it an "invisible tax."
"With AI fundamentally changing the way we do software development, we've seen this huge acceleration in coding," he said. "But the rest of the coordination work — that 'work about work' — hasn't changed very much, frankly."
Devplan processes data in advance and stores it in a knowledge graph rather than scanning raw code and documents on every request. Bee said internal testing shows queries run roughly twice as fast and more than three times cheaper on token costs compared with pointing an AI tool at the data each time.
What could go wrong? Devplan is entering a crowded market of productivity and project management tools, many of which are adding their own AI features. Convincing teams to adopt yet another integration layer — and trust it to replace meetings — is a steep ask. The company currently employs just six people, with a seventh hire in the works.
The signal: AI2 Incubator's lead on this round ties Devplan to the Allen Institute for AI's broader ecosystem, lending credibility to an early-stage company in a space where incumbents like Atlassian and Linear are racing to bolt AI features onto existing project management tools. With both founders drawn from senior engineering roles at big tech and the startup still at just six employees, the seed round is a small but pointed bet that the real productivity drag in software development is shifting from writing code to orchestrating it.
Read more: GeekWire
