Weaver

The intelligence layer behind your product organization.

Weaver is the intelligence engine behind Devplan, continuously turning code, decisions, discussions, and delivery signals into shared organizational understanding.

Book a demo → Under the hood ↓

01What Weaver does

A persistent map of your organization.

Ingests signals

Every commit, ticket, meeting, and discussion, continuously indexed.

Weaver connects to your existing tools and begins building context immediately. No migration. No manual tagging. It reads what your team already produces.

GITHUB 142 commits

LINEAR 38 ticket updates

SLACK 91 messages

ZOOM 7 transcripts

NOTION 14 doc edits

Maintains memory

Context that compounds over time.

Unlike session-based AI that forgets everything when the conversation ends, Weaver maintains a persistent graph of your organization. The longer Devplan runs, the more useful it becomes.

Session-based AI

Weaver

Routes insight

The right information to the right person at the right time.

Weaver doesn't just store information. It routes it accordingly — a risk to the engineering manager, a customer signal to the PM, a launch risk to the exec.

Stalled PR · #482 · 22h

Eng Manager Risk alert · Slack SENT

PM Daily Digest update SENT

Exec — below threshold SKIP

Beyond session-based AI

Claude and Codex summarize. Weaver knows.

Generic AI is powerful, but session-based. It lacks your organization's memory, product intent, and delivery history. Weaver maintains them.

What slipped on Payments v2 this week?

Generic AI session-based

I don't have access to your project's current state. In general, payment work can slip due to scope changes or testing delays…

Weaver persistent graph

Refund handling moved to PR review; CSV export descoped from v1 after Mon's product-eng sync. PR #482 blocked 22h.

Sourced · GitHub · Slack · Linear

02Under the hood

Mechanically calibrated. Not vibes.

Backed by evidence.

Confidence is calculated from lossless source verification, not AI confidence scores. If Weaver isn't certain, it says so.

HIGH · 1:1 source mapping
MED · partial coverage
LOW · says so explicitly

Entity normalization

Weaver normalizes entities across tools so they resolve to the same concept regardless of how each system names them.

GitHub: auth-service
Linear: Auth Service
Slack: the auth work
→ same entity

Cross-system retrieval

Weaver pulls from pre-processed signals simultaneously across centralized org-managed connections.

22 connected sources
Entity-level joins
No double-counting

03What Weaver powers