Product direction

Ship faster—with reviews that understand your stack

We are building a twelve-month path from reliable automation to deep AI code intelligence: sharper reviews, your rules, conversational PR context, repository memory, security-aware signals, and the toolchain hooks your organization already runs on.

Month labels are planning horizons—not fixed release dates. Priorities evolve with customer feedback and capacity.

Why teams bet on this direction

Less noise, more signal

Summaries, findings, and risk you can act on—without walls of generic boilerplate.

Built for real engineering workflows

GitHub and Bitbucket, org-scoped configuration, and transparent diagnostics so leads stay in control.

A credible path to enterprise-grade adoption

Security-oriented analysis, governance-friendly visibility, and integrations that match how mature teams evaluate vendors.

Four chapters on the calendar

Months 1–2

Foundational and usable

Live PR automation, polished UX, and admin visibility—so rollout feels inevitable, not experimental.

Months 3–5

Quality and differentiation

File-aware reviews, custom rules, database-backed prompts (org → global → code fallback), and risk scoring so reviewers know where to look first and you can iterate without redeploying every copy change.

Months 6–8

Deep intelligence

PR-native chat, repository memory (RAG), and security-style signals for compliance-ready conversations.

Months 9–12

Full product and scale

AI-assisted actions, multi-repo scale, Slack, Teams, Jira, and CI signals—plus commercial plans with clear limits.

Three milestones that move the market story

Month 3 — File-aware reviews

Each file gets the right lens (PHP, JS, SQL, …) instead of one generic blob—the kind of leap users notice versus free-only tools.

Month 4 — Your architecture, your rules

Symfony, Doctrine, naming—reviews that read like your lead engineer wrote the playbook.

Month 7 — The repository as context

Semantic memory so the model is not guessing from the patch alone—we are building toward a premium AI-powered code review platform.

Twelve-month snapshot

M1 Webhooks plus AI review live on every PR
M2 Stability, history, loaders, and operational logs
M3 Split by file; language-tuned prompts
M4 Configurable rules aligned to your stack
M5 PR risk score with plain-language rationale
M6 In-product chat grounded in the PR
M7 Indexing and semantic retrieval (RAG)
M8 Security and audit-friendly findings
M9 Suggested fixes and smarter automations
M10 Teams, permissions, multi-repo scale
M11 Slack, Teams, Jira, CI/CD signals
M12 Plans, limits, quality dashboards, ROI story

Ready to automate the first pass of every pull request?

Sign in to wire webhooks—or tell us which milestone matters most for your roadmap.