Tea to Launch Mainnet June 4, List $TEA on Aerodrome

Tea will launch mainnet June 4 and seek an Aerodrome listing for $TEA after governance voting opens May 28 to add on-chain provenance and verification for open-source software.

Tea will launch its mainnet on June 4 and pursue a listing of the $TEA token on Aerodrome. Aerodrome governance voting to approve the listing opens May 28.

Tea plans to use Aerodrome as its primary liquidity venue on Base. According to the project, the listing pairs Base’s largest liquidity venue with a provenance layer for software, providing verifiable on-chain routing, vote-directed emissions and a transparent price surface for market participants.

The project framed the effort as a response to recent advances in AI models that can generate working code, discover software vulnerabilities and perform multi-step operations with limited human oversight. Tea’s team states those capabilities increase the need to record who produced code and how it was composed.

Tea is described as a decentralized protocol that records provenance, attribution and continuous verification at the source of software contributions. The protocol uses cryptographic methods to attribute packages, contributions and dependencies, and it includes mechanisms intended to align economic incentives with contributors and automated systems.

Tim Lewis, who is leading the launch, commented, “Code is abundant. Trust is not.” He added that software produced by autonomous agents is already entering development workflows and that verification of contributions will affect how recognition and token rewards are distributed.

Backers say on-chain records will allow maintainers, auditors and automated tools to check provenance and trace dependency histories before accepting or composing code. Tea plans the Aerodrome listing to follow the governance vote and cited on-chain transparency and community governance as the reasons for choosing Aerodrome over centralized order books.

Developers and security researchers are likely to follow the launch as organizations work on methods to audit software produced or assisted by AI. Tea’s team states the protocol embeds provenance at the source of contributions rather than relying solely on compiled binaries.

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