sdsvn
sdsvn is the personal developer identity and open-source project hub of Sarath Sadasivan Pillai, a backend-systems engineer focused on reliable, scalable software, AI agents, developer tooling, distributed systems, Go, PostgreSQL and Linux. His active work includes tools for reviewing agent-built code, gated agent workflows and developer infrastructure.
At a Glance
AI Tools by sdsvn
(1)Co-Review
Open Source Agent Code Review
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Latest News
Co-Review launched on Product Hunt as a free, open-source, no-telemetry repository and code-review tool.
The Co-Review README and website were updated to show the Product Hunt launch badge.
Co-Review v0.9.2 released, including platform release assets and incremental app-update packaging.
Co-Review v0.9.1 released.
Products & Services
A free, MIT-licensed review tool with IDE features for reviewing an entire repository, a code change, someone else’s pull request, or a design before implementation. It lets users comment on code, diagrams and design steps and ask the coding agent that built the work to explain it from the code. It is built on Eclipse Theia and is distributed as a desktop/browser app and the co-review CLI.
A TypeScript project described by sdsvn as a ticket-in/merged-PR-out, gated, test-plan-first workflow for omp / pi coding agents.
An unofficial, production-ready Go client for the CMS NPI Registry API v2.1, with retry logic, caching and batch operations.
A TypeScript project that fetches multiple ticker’s stock data, calculates key indicators and auto-generates a daily CSV; GitHub identifies it as forked from gracefullight/stock-checker.
Market Position
This is an individual-led, open-source alternative to hosted AI code-review products and agent-centric developer environments. Co-Review differentiates through whole-repository and pre-code design review—not only diff review—plus local storage, no account, no telemetry, MIT licensing and compatibility with Claude Code, Pi, Oh My Pi and any MCP client; Product Hunt’s alternatives page places it alongside products such as OpenAI Codex and Cursor.
Target Markets
- Re-understanding and auditing repositories built or substantially changed with coding agents
- Reviewing one’s own agent-generated changes before commit or merge
- Collaboratively reviewing a teammate’s GitHub pull request
- Reviewing architecture and implementation designs before code is written
- Connecting coding-agent workflows to a local review loop
- Self-hosted webhook delivery and developer infrastructure through Sparrow and testhooks