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Source channel @githubtrending · Post #14925 · Jul 7

#typescript#12_factor#12_factor_agents#agents#ai#context_window#framework#llms#memory#orchestration#prompt_engineering#rag The 12-Factor Agents are a set of proven principles to build reliable, scalable, and maintainable AI applications powered by large language models (LLMs). They help you combine the creativity of AI with the stability of traditional software by managing prompts, context, tool calls, error handling, and human collaboration effectively. Instead of relying solely on complex frameworks, you can apply these modular concepts to improve your existing products quickly and reach high-quality AI performance for real users. This approach makes AI software easier to develop, debug, and scale, ensuring it works well in production environments[1][3][5]. https://github.com/humanlayer/12-factor-agents

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Crypto M - Crypto News

@CryptoM · Post #64877 · 04/10/2026, 06:14 AM

🚀 Starknet Opens Voting on v0.14.2 Upgrade Proposal Starknet has announced that voting is now open for STRK holders on the v0.14.2 upgrade proposal. According to Foresight News, the voting period will end on April 16. The proposed upgrade includes the introduction of SNIP-36, SNIP-37, and SNIP-13, and aims to enable protocol-level S-Two proof verification, significantly reducing costs for privacy use cases and zk-thread applications. Additionally, the upgrade seeks to adjust the storage economic model to more accurately reflect network resource usage while maintaining cost advantages for developers. The StarkGate token contract will also be upgraded to optimize ERC-20 event indexing, verification, and token handling. Other internal upgrades are planned to prepare for the decentralized verification phase described in SNIP-33, including improvements in P2P, weighted proposer sampling, and the concept of virtual proposers. #Starknet#STRK#v0.14.2 #SNIP36#SNIP37#SNIP13#STwoProof#PrivacyUseCases#zkThread#StorageEconomicModel#StarkGate#ERC20#P2P#DecentralizedVerification#SNIP33#VirtualProposers