This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Tetriz Engineering Kit
Open-source tools for everything around AI coding
Agents write code. Help your team plan, understand, ship, and run it. 10 MIT-licensed tools for agent workflows, codebase learning, local CI, observability, tenant isolation, RPC access, log redaction, messaging, and GitHub attachments.
Your agents write code faster than your team can review and ship it.
So review becomes the bottleneck. And the code that does get merged isn't always code your engineers fully understand.
Today we're open-sourcing 10 engineering tools. It's how we work with agents ourselves.
Review that keeps up
- Agentic Workflow Kit brings fresh reviewers into Claude Code and Codex every few commits and carries each change through to a reviewed PR.
Understand what your agents shipped
- Codebase Trail turns your code and merged PRs into practice questions, so engineers understand what their agents shipped.
What AI-written code still has to get right
- 8 tools for local CI, Go linting, tenant isolation, log redaction, reliable messaging, observability and PR evidence.
If you tried Agent Desk, Session Intelligence or Tetriz Harness from our earlier launches: those show how your agents are set up and how their sessions go, and keep that setup current. These cover the work itself.
Where to start: Agentic Workflow Kit, if review is your bottleneck.
All 10 are MIT-licensed. Read the code, run it on a real branch, and tell us what breaks.
One question for teams building with coding agents: when do you bring in a reviewer? Every commit, every PR, or only when something looks off?
“Open-source tools for everything around AI coding”
Tetriz Engineering Kit was submitted on Product Hunt and earned 5 upvotes and 2 comments, placing #46 on the daily leaderboard. Agents write code. Help your team plan, understand, ship, and run it. 10 MIT-licensed tools for agent workflows, codebase learning, local CI, observability, tenant isolation, RPC access, log redaction, messaging, and GitHub attachments.
On the analytics side, Tetriz Engineering Kit competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Tetriz Engineering Kit performed against the three products that launched closest to it on the same day.
Who hunted Tetriz Engineering Kit ?
Tetriz Engineering Kit was hunted by Prasanna R. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Tetriz Engineering Kit including community comment highlights and product details, visit the product overview.
Prasanna R
Hey Product Hunter,
Your agents write code faster than your team can review and ship it.
So review becomes the bottleneck. And the code that does get merged isn't always code your engineers fully understand.
Today we're open-sourcing 10 engineering tools. It's how we work with agents ourselves.
Review that keeps up
- Agentic Workflow Kit brings fresh reviewers into Claude Code and Codex every few commits and carries each change through to a reviewed PR.
Understand what your agents shipped
- Codebase Trail turns your code and merged PRs into practice questions, so engineers understand what their agents shipped.
What AI-written code still has to get right
- 8 tools for local CI, Go linting, tenant isolation, log redaction, reliable messaging, observability and PR evidence.
If you tried Agent Desk, Session Intelligence or Tetriz Harness from our earlier launches: those show how your agents are set up and how their sessions go, and keep that setup current. These cover the work itself.
Where to start: Agentic Workflow Kit, if review is your bottleneck.
All 10 are MIT-licensed. Read the code, run it on a real branch, and tell us what breaks.
One question for teams building with coding agents: when do you bring in a reviewer? Every commit, every PR, or only when something looks off?
Code:
https://github.com/tetriz-ai/agentic-workflow-kit
https://github.com/tetriz-ai/codebase-trail
https://github.com/tetriz-ai/local-ci
https://github.com/tetriz-ai/wvet
https://github.com/tetriz-ai/observability-as-code
https://github.com/tetriz-ai/pgtenant
https://github.com/tetriz-ai/protoauthz
https://github.com/tetriz-ai/logredact
https://github.com/tetriz-ai/outbox-comms
https://github.com/tetriz-ai/ghattach
Built by the Tetriz team.