Roufis_
4.9K posts





Today was one of those days we dreamed about. We’re incredibly grateful to the community, our team, everyone who gave feedback and helped shape what CodecFlow is today, and who supported us no matter the market conditions. We’re also grateful to the advisors who backed us along the way. This journey hasn’t been easy, and it won’t get easier, but moments like this make it worth it. Huge thank you to @Pumpfun for running the Build in Public hackathon. It pushed us to keep building in the open and sharing consistently. Through this, we got exposure to some of the best teams in robotics and simulation. We’re also grateful for the support from @Pumpfun and the opportunity to get access to their lineup of advisors as part of this. This is a big milestone for us, but it’s just the beginning. Wishing all the best to the rest of the participants. Thank you again to everyone who’s been part of this.











The Chainlink Runtime Environment (CRE) is powering orchestration for secure and scalable agentic workflows to unlock next-gen applications using crypto & AI. How 7 leading platforms are leveraging CRE for AI-powered workflows ↓ First, a quick primer on CRE: CRE provides an all-in-one orchestration layer for building end-to-end institutional-grade smart contracts—smart contracts that are easily connected to external data, cross-chain enabled, compliance-ready, and privacy-preserving, which are able to securely interoperate across thousands of public and private blockchains, existing identity systems, and core financial infrastructure. • x402 by @coinbase is now the first AI payments partner to enable agents to autonomously pay for CRE workflows. The Coinbase Developer Platform (CDP) gives AI agents access to crypto wallets to perform onchain actions and make programmatic payouts via x402. • @SentientAGI is a partner AI lab building powerful open-source AI systems, including ROMA, OpenDeepSearch, and Sentient Chat. Sentient can leverage all Chainlink's data – Asset Prices, Macroeconomic data, and other real-world data and CRE capabilities like interop, payments, and consensus, which are then integrated into customized powerful AI agents. This enables AI to make smarter decisions based on onchain proofs and coordinate intelligence across Web3 and Web2 environments. • @gizatechxyz adopted CRE as the orchestration layer for reading onchain events and triggering agent logic focused on stablecoin yield optimization for USD1, dynamically deploying the stablecoin from World Liberty Financial across DeFi to maximize yield. This enables Giza’s yield optimization products, Arma and Pulse, to execute yield strategies across both stablecoins and other blue-chip DeFi assets. • Chaos Chain (@Ch40sChain) is integrating CRE the Chainlink Runtime Environment to provide a set of pre-checks for any payment flow. Agentic pre-checks can significantly decrease the number of third-party API calls, reduce latency, and enable businesses to trust agents with real value, allowing them to discover, collaborate, and pay each other via the x402 standard. • @codecopenflow is integrating the Chainlink Runtime Environment (CRE) with its CodecFlow SDK (OPTR) to power MechaShip, a decentralized delivery network. CRE acts as the event-driven orchestration layer, automatically reacting to onchain DeliveryRequested events to discover available mechas (via ERC-8004), request quotes (via x402), and rank agents. OPTR enables the autonomous mechas to register, calculate dynamic pricing, and maintain real-time status via heartbeat monitoring. • @ampli_inc is using the CRE for signing operations and powering its trusted execution environment to verify and authorize AI agent requests. The CRE enables agents to operate within guardrails and customizable policies that allow for compliant and secure operating environments. • ElizaOS leverages the Chainlink Runtime Environment (CRE) via its Spartan agent to power AI-driven execution. This enables the agent to autonomously manage liquidity, execute cross-chain arbitrage, and monitor protocol risk using real-time, on-chain data. Learn more about the Chainlink Runtime Environment—now live on mainnet for all developers: blog.chain.link/chainlink-runt…





