OPZ-018GitHub issue syncintegration
Owner◇Anthony + Agent
Building In active development
One workspace for humans and the AI agents shipping their code.
Plan sprints, coordinate human-agent work, preserve engineering decisions, and move from issue to evidence-backed pull request—without juggling GitHub Projects, agent sessions, and disconnected tools.
Pre-alpha concept · Interface mockups in progress · Built in public
Concept prototype · Not operational yet
PlanIssuesDecisionsEvidenceAgents
OPZ-021Sprint workspaceproduct
OwnerAAnthony
MockupOPZ-024Behavior contract schemagovernance
Owner◇Unassigned
Planned＋ Add issue
01 · THE COORDINATION GAP
Your team gained more coding agents. It did not gain more shared understanding.
Every developer now operates separate agent sessions. Work gets generated faster, but intent, decisions, ownership, and proof scatter across tools.
Opzava is being built for the layer between the issue and the pull request: where humans decide what should happen, agents do bounded work, and evidence determines what is actually ready.
Conflicting assumptions
Two agents can implement the same requirement differently and both appear correct.
Invisible collisions
Parallel work touches shared boundaries before the team sees the conflict.
Weak completion signals
A green test or finished task does not prove that the requested behavior was delivered.
02 · FROM ISSUE TO EVIDENCE-BACKED PR
A workflow designed for human-agent engineering teams.
GitHub remains the repository record. Opzava becomes the daily coordination workspace.
01
Issue
Problem and context captured
02
Plan & assign
Human-agent ownership set
03
Contract
Behavior and boundaries agreed
04
Build
Work isolated and traceable
05
Evidence
Checks tied to intent
06
PR ready
Human review stays final
03 · NOT ANOTHER GENERIC PM BOARD
The board is the surface. Coordination evidence is the product.
Sprint, timeline, and issue views keep the team in one place. Opzava’s durable value comes from the AI-native questions behind every task.
01Which human and agent own this work?
02What approved behavior governs it?
03What repository areas may it modify?
04What active work could conflict?
05What evidence proves completion?
06Why is this ready to merge?
04 · PRODUCT DEVELOPMENT IN PUBLIC
Pre-alpha concept
Opzava is designing its first workspace around its own development.
Most of the current product is interface mockups. It does not yet execute the complete workflows shown here. The immediate goal is to turn one narrow loop—issue, sprint, and GitHub synchronization— into a working prototype before expanding the promise.
Challenge the product assumptions →Development board and sprint workspaceHigh-fidelity interface mockups; not operational yet.
GitHub-connected issue workflowThe first end-to-end behavior to make real.
Contracts, collision detection, and evidence gatesThe AI-native coordination layer.
PRIVATE DESIGN-PARTNER PROGRAM
Use multiple coding agents on one team?
I’m speaking with engineering leads and developers using Claude Code, Codex, Copilot, Cursor, or similar agents. The goal is to find where team coordination actually breaks—not pretend a prototype is already a finished product.
Good fit2–20 person software teams
What I need20-minute problem conversation
What you shareYour workflow and failure points
Apply as a design partner →You’ll continue to Anthony’s existing contact form.AG
BUILT BY AN ENGINEER LIVING THE PROBLEM
Anthony Garces
Lead engineer and founder of Opzava, investigating what happens when every developer on a software team operates AI coding agents—and building the missing coordination layer in public.