Siddharth Rao retweeted
90%ไฝฟ็จClaude Code็ไบบไธ็ฅ้่ฟไบไปๅบ็ๅญๅจใๆๅๅนดๅไนไธ็ฅ้ใ
ๆๅจ2026ๅนดไฝฟ็จ็9ไธชไปๅบ๏ผ
Siddharth Rao retweeted
๐ฅWARNING: Vibe coding without a Lead Architect prompt is throwing away 80% of your results.
How do you vibe code like a senior engineer?
Here's what a structured AI prompt actually gives you:
โ Enforced separation of concerns across every file it writes
โ Named directories, stated before a single line of code
โ Auto-typed functions, docstrings, and error handling every time
โ Tests suggested after every implementation
โ Security rules baked in: no hardcoded secrets, rate limiting, input sanitization
Without this? AI Coding agents writes code. With this? they thinks like your senior engineer.
AI coding tools fail at architecture. One prompt that enforces your structure turns a vibe coder into a disciplined staff engineer.
Siddharth Rao retweeted
You do not need a Mac Mini to run an AI agent.
People are running autonomous agents on:
โ $5/mo VPS servers
โ Old laptops
โ Cloud instances
โ Raspberry Pis
The barrier to entry is lower than you think.
The hard part is not hardware. It is designing what your agent should actually do.
Siddharth Rao retweeted
AI canโt yetย one-shot an entire productโbut with the rise of vibe coding, supercharged developers are getting close.
Part intuition and experimentation, part validation, it's the new frontier of software development.
YC's Tom Blomfield (@t_blom) has spent the last month building side projects with tools like Claude Code, Windsurf, and Aqua, seeing just how far you can push modern LLMs. From writing full-stack apps to debugging with a single copy paste of an error message, AI is becoming a legit collaborator in the dev process.
With tips from YC founders in the Spring batch, this is a playbook for anyone who wants to get the most out of vibe coding and build faster.
Siddharth Rao retweeted
๐๐ก๐๐ฆ๐๐ฅ๐๐จ๐ง ๐๐๐ฏ ๐๐ฉ๐๐๐ญ๐ โ ๐๐๐ซ๐๐ก ๐๐ โ ๐๐ฉ๐ซ๐ข๐ฅ ๐, ๐๐๐๐โฃ
This week the core team ran the internal testnet.โฃ
โฃ
๐๐ง๐ญ๐๐ซ๐ง๐๐ฅ ๐๐๐ฌ๐ญ๐ง๐๐ญ ๐๐ฎ๐งโฃ
Deployed 3โ5 validator nodes using the new testnet chain spec and ran the install script end to end. Validated block production, staking, emissions, pDEX swaps, and bridge deposits. Also validated the full privacy transfer flow, shield to confidential transfer to unshield, all on real testnet parameters with the 100M CHML supply and 1,750 pCHML staking requirement in place.โฃ
โฃ
๐๐ฌ๐ฌ๐ฎ๐๐ฌ ๐๐ง๐๐จ๐ฎ๐ง๐ญ๐๐ซ๐๐ ๐๐ง๐ ๐
๐ข๐ฑ๐๐โฃ
Running the internal testnet surfaced a few expected infrastructure issues which the team identified and resolved:โฃ
โฃ
- Validator nodes were getting stuck in "Waiting" and not flipping to "Active". Traced to a session rotation timing issue and fixed.โฃ
โฃ
- AlertManager was firing false alerts during normal session rotations. Monitoring thresholds have been tuned to correctly distinguish a genuine halt from expected rotation gaps.โฃ
โฃ
- Nodes were dropping peers and not reconnecting without a manual restart. Peer discovery has been stabilised and nodes now recover automatically.โฃ
โฃ
- The testnet faucet was running low on pCHML without any alert. A refill threshold and notification have been put in place so onboarding is never blocked.โฃ
โฃ
๐๐ก๐๐ญ'๐ฌ ๐๐๐ฑ๐ญโฃ
With infrastructure stable and fixes in, the team will now build and test the testnet APK. This will go through multiple rounds of iteration, similar to how the devnet APK was tested across many builds, until the experience is stable enough to release to the community.
Assign a task from your phone, turn your attention to something else, and come back to finished work on your computer.
Tell Claude once to scan your email every morning or pull a report every Friday, and it handles it from there.
Siddharth Rao retweeted
๐ฆ MOLT ECOSYSTEM MAP ๐ฆ
83 projects. 1 chain. 1 framework.
[ CORE INFRA ]
FOUNDATION
โซ๏ธ @openclaw: Core framework for building autonomous AI agents
โซ๏ธ @base: Economic settlement layer
STANDARDS & PROTOCOLS
โซ๏ธ ERC-8004: Onchain identity and discovery standard for agents
โซ๏ธ x402: HTTP payment protocol - agents pay for services via USDC micropayments
โซ๏ธ ACP (Agent Commerce Protocol): Onchain agent-to-agent transactions by @virtuals_io
WALLETS
โซ๏ธ @bankrbot: AI crypto banker - wallets, trading, skills, DeFi for agents
โซ๏ธ @privy_io: Agentic Wallets - agents hold, sign, transact autonomously
โซ๏ธ @wardenprotocol: Agentic Wallet - multi-agent orchestration, one wallet accessible to any agent
โซ๏ธ Coinbase CDP: Developer platform - agent wallets on Base
โซ๏ธ @MetaMaskDev: Smart Accounts Kit - embedded smart accounts, delegations, advanced permissions via skill
SIMULATION & AGENT WARS
โซ๏ธ @DXRGai: Massive simulation - 36K+ agents, 2.6M messages, 40B tokens processed. DX Terminal Pro for onchain agent markets on Base
โซ๏ธ @ForgeAI_gg: Competitive trading tournaments - agents battle for ROI supremacy and prize pools
INFRA
โซ๏ธ @clanker_world: Token launch infrastructure for agent launches
โซ๏ธ @xmtp_: Decentralized messaging protocol, x402 integration
โซ๏ธ @daydreamsagents: Lucid SDK - agents ship x402 paid endpoints with ERC-8004 identities. Commerce skills, inference routing, xgate discovery
โซ๏ธ @starkbotai: x402-enabled agent deployment infrastructure
โซ๏ธ @FelixCraftAI: Hosted agent stack - text, voice, memory, tools without config
โซ๏ธ @neynarxyz: Social graphs and feeds infrastructure
COMPUTE & DATA
โซ๏ธ @eigencloud: Verifiable computation - TEE execution, deterministic AI inference
โซ๏ธ @heurist_ai: Crypto skills - market headlines, research, trending tokens, wallet analysis
โซ๏ธ @reppo: Continuous learning - real-time data pipelines for agents using prediction markets
โซ๏ธ @AskVenice: VPN for AI models - private/anonymized inference, lower costs
โซ๏ธ @ClawCloudx: Cloud platform - autonomous compute purchase on Base
โซ๏ธ @ConwayResearch: Permissionless compute - agents buy VMs with USDC, deploy code
SECURITY & TRUST
โซ๏ธ @Wach_AI: Mandates - deterministic agreements between agents for reputation
โซ๏ธ @ChaosClawAI: Trust sentinel - verifies ERC-8004 identity, explains reputation signals
โซ๏ธ PromptIntel by @fr0gger_: Threat intel feed - agents report and receive security alerts
โซ๏ธ @cybercentry: Security verification and auditing - token, wallet, code, web app verification
โซ๏ธ @regent_cx: Unruggable agent safety - dual TEE backup on @eigencloud & @PhalaNetwork
PAYMENTS & COMMERCE
โซ๏ธ @zauthx402: x402 endpoint verification, trust infra for autonomous commerce
โซ๏ธ @b402ai: Private agent payments - Railgun ZK proofs
โซ๏ธ @x402_Layer: Agents sell autonomously - create x402 endpoints, set pricing
++ more ๐งต๐ฆ
The next wave isnโt AI.
It isnโt crypto either.
Itโs AI agents operating on-chain.
Autonomous.
Permissionless.
Always-on economic actors.
Most people still think this is years away.
Itโs not.
#AI #CryptoUpdates #web3โโ #AIAgents #OnchainAI #DeFi #Blockchain
Siddharth Rao retweeted
Chameleon Network Galxe Quest is live โ
Follow @CHMLnetwork on X & earn 1,000 Points!โกGasless | FCFS | Instant Reward
Powered by @GalxeQuest ๐
app.galxe.com/quest/Chameleoโฆ
#Galxe #GalxeOAT #ChameleonNetwork #Web3 #DeFi
Siddharth Rao retweeted
๐ฃ ๐๐ก๐๐ฆ๐๐ฅ๐๐จ๐ง ๐๐๐ฏ ๐๐ฉ๐๐๐ญ๐ โ ๐
๐๐ ๐๐โ๐
๐๐ ๐๐, ๐๐๐๐ โฃโฃ
โฃโฃ
๐๐๐ฏ๐ง๐๐ญ ๐๐๐ ๐๐๐ฅ๐๐๐ฌ๐ (๐ฏ๐.๐๐) + ๐๐ ๐๐ญ๐๐๐ข๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐งโฃโฃ
โ
Devnet APK v1.60 released for community testing (DEVNET ONLY โ test balances)โฃโฃ
๐ฅ APK download on Telegram: t.me/Chameleon_Network/1118/โฆ โฃโฃ
โฃโฃ
๐ ๏ธ ๐๐ ๐๐ญ๐๐๐ข๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง / ๐๐ฎ๐ ๐
๐ข๐ฑ๐๐ฌโฃโฃ
โข Power + Single-Sided Liquidity hardened (provisioning, guardrails, rewards consistency, withdrawals)โฃโฃ
โข Swap UX improved (slippage + Min Received clarity) + better fee/accounting validationโฃโฃ
โข General polish: clearer loading/success/error feedback + fewer โsilentโ statesโฃโฃ
โฃโฃ
๐ ๐๐๐ฑ๐ญโฃโฃ
โข Release validator setup scriptsโฃโฃ
โข Collect feedback โ ship improved Devnet APKโฃโฃ
โข Start testnet preparationโฃโฃ
โฃโฃ
๐ ๐๐๐ญ๐๐ข๐ฅ๐๐ ๐๐ซ๐๐๐ค๐๐จ๐ฐ๐ง: forum.chml.network/t/85
Siddharth Rao retweeted
Vibe coding isn't going away.
It's only getting better, more powerful, and more popular. ๐
A directory of the 29 top vibe coding tools real builders are using today (bookmark this thread):
Siddharth Rao retweeted
Data wrangling, in essence, refers to the meticulous process of transforming and organizing raw data into a more accessible and interpretable format.
Read about useful data analysis expressions in this blog:
hubs.la/Q02kd0Kv0
#datawrangling #dataanalysis #datascience
Siddharth Rao retweeted
AI and ML with PowerBI - Crash Course teapaw.org/i/broadcasts/1dRKZEVXLโฆ
Siddharth Rao retweeted
๐ค Weekly AI Myth Busters
Myth: Closed-source AI models like OpenAI's GPT-4 and Google's Gemini are inherently superior to open-source alternatives from Meta, Hugging Face, and others.
Truth: Things are changing in the AI world. While high-profile models like GPT-4 Turbo have been making headlines, the open-source community is quietly making significant strides.
Take the example of Yi-34B from China's 01.AI. This open-source model is making waves by outperforming its peers in key benchmarks. On the MMLU test, which measures knowledge across 57 subjects, Yi-34B scored an impressive 76.3%, surpassing other notable open-source models like Meta's LLaMA2-70B and TII's Falcon-180B.
๐ Why It Matters?
Open-source language models offer wider accessibility and foster innovation, inviting contributions from diverse groups including those with limited resources.
This approach is democratizing AI development and leading to more creative solutions.
A Notable Example: Consider the release of Kan-Llama by India's Tensoic, a model adapted for the Kannada language. Such innovations are making AI more relevant and useful to different communities worldwide.
Read: Should Large Language Models be Open-Sourced? Stepping into the Biggest Debates: lnkd.in/exuzvg6b
Want to stay updated with what's happening in the Generative AI's universe? Subscribe to our LinkedIn newsletter to get weekly guides: lnkd.in/dCNQMGtB
#llm #ai #opensource #llama2
Siddharth Rao retweeted
This bootcamp offers a comprehensive introduction to getting started with building a ChatGPT on your own data. By the end of the bootcamp, you will be capable of building LLM-powered applications on any dataset.
Visit: hubs.la/Q02g7CYr0
#llm #largelanguagemodels
























