Architectural intent, encoded.
Every plan carries its rationale. Every step is schema-validated. Cross-cutting changes coordinate across repos in a single flow — with one approval point, not ten.
A real plan with design-decision rationale highlighted lands here.
What changes for you
Review the why before the what is built.
Your role shifts from post-hoc reviewer of AI output to author of the system the agents work inside. Patterns are encoded once, enforced everywhere, and the codebase converges instead of diverging.
Decisions before code
Plans capture the architectural why. You review the rationale before any agent writes a file.
Patterns enforced at the gate
Codified once, schema-validated everywhere. Deviations stop at the integrity gate, not at PR review.
Cross-repo changes, one approval
A flow spans repos and coordinates the change as one unit. One review for ten files across three services.
A day in the life
From PR triage to system authorship.
Ten engineers using ten different AI workflows means ten different patterns landing in the same repo. The Architect day shifts from forensic PR review to upstream design.
8:45am
Triage queue
Today
Open the PR queue. Twelve PRs from yesterday — eight written with AI. Spend 90 minutes reverse-engineering intent from diffs.
With Disco Parrot
Open the plan-review queue. Each plan includes the agent’s rationale, the design decisions, and the architectural tradeoffs. Approve or send back in under a minute each.
10:00am
Cross-cutting change
Today
Coordinate a shared-library bump across four services via a long Slack thread. Each team executes differently. Three approaches end up in production.
With Disco Parrot
Run /flow with multi-repo context. One plan, one design decision, one coordinated change across all four services. One PR per repo, one approval.
11:30am
Pattern enforcement
Today
Find that two engineers shipped two different ways to handle the same auth pattern. Write an ADR. File a backlog ticket to "harmonize later."
With Disco Parrot
The integrity gate caught the deviation at step 3, before the code ever opened a PR. Pattern stays singular.
1:00pm
Design review
Today
Sit in a 45-minute meeting walking through a Confluence doc. Engineers nod. Real design happens later in Slack DMs.
With Disco Parrot
Open the plan in the repo. Comment inline on the design decisions. Architecture review is a PR-style flow, versioned, with rationale.
3:00pm
Cross-team coordination
Today
"How is the payments team handling AI agent rollout?" Slack. DMs. Calls. Eventually find out three weeks later.
With Disco Parrot
Filter the portfolio audit trail by team. See every agent turn, every plan, every architectural decision. Cross-team patterns visible by query.
5:00pm
End of day
Today
Twelve unread PRs. Two new emergent patterns to address. ADRs that nobody reads. Tomorrow won’t be different.
With Disco Parrot
Plan queue empty. Patterns held. The system you authored is enforcing itself.
Where Disco Parrot fits
We don't ask you to throw out your stack.
For each part of your day, Disco Parrot either replaces something that wasn't serving you, plugs into something that already works, or makes something existing measurably better.
Replaces
- checkForensic PR review. Replace post-hoc reverse-engineering with upfront plan approval.
- checkADRs in Confluence that nobody reads. Decisions live in the plan, next to the code that implements them.
- checkPattern docs the AI doesn’t see. Patterns codified in schemas the agent reads at plan time.
- checkSlack-thread design records. Versioned design rationale in the repo.
Integrates with
- checkMCP tool ecosystem. Plug in your own static analysis, dep scanners, custom validators.
- checkExisting code review. PRs land in your normal review flow with extra context.
- checkMulti-repo workspaces. Cross-cutting flows span the services you actually run.
- checkYour CI / branch protection. Existing gates run as the last layer of defense.
Improves
- checkCodebase convergence. Patterns stay singular across teams instead of fragmenting.
- checkDecision auditability. Every architectural choice mapped to a turn and a file.
- checkCross-team visibility. Filter the portfolio audit trail by team or by pattern.
- checkTime to architectural sign-off. From days to a single plan-review cycle.
The toolkit
The architect toolkit.
Six surfaces designed to encode architectural intent and enforce it without becoming the bottleneck.
Plans capture rationale
Every plan includes the architectural why as structured fields — not just steps to execute.
Design decisions, alternatives considered, tradeoffs made, and dependencies flagged. Each is a first-class field that the integrity gate can validate against.
Pattern enforcement via integrity gates
Schema-validated outputs, codified patterns, hard stops before deviation ships.
Define patterns once as Zod schemas or custom validators. Every agent step is checked against them. Failed validation halts the flow with a structured reason.
Multi-repo context
Cross-cutting changes coordinated in a single flow with shared context across services.
Pull multiple repos into the same sandbox. SDK bumps, shared schema updates, API renames — one plan, coordinated change, audit trail spanning all repos.
Plan-review queue
Architectural approval is a first-class workflow step. Implementation cannot proceed without it.
Plans sit in a queue waiting for designated approvers. Comment inline. Approve, send back with notes, or break into smaller plans. Implementation flows are blocked until approval.
MCP tool integration
Plug in your own static analysis, dependency scanners, custom validators.
Your .vscode/mcp.json servers load automatically. Plans can require specific tools at specific steps. Validators run server-side, results in the audit trail.
Portfolio audit trail
Every choice the agent made, every tool it called, every file it touched — queryable across teams.
Filter by repo, team, agent, time range, or pattern. Export to your SIEM or BI tooling. The audit is searchable, not buried in Slack.
Plays well with what you already use
Works with the tools you already pay for.
Bring your own AI model. Bring your own sandbox. See the security architecture →
Every agent turn, tool call, and file write is logged server-side. Credentials never reach the browser. Sandboxes are ephemeral. Architecture →
Plan, build, and ship software with AI. Across your whole team.