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main sources of AI stress for devs: - transition from deterministic to notoriously volatile workflows - uncertainty in the correctness of AI setups - insane pace of AI development not stabilizing - fomo - more coding skill levels being rendered useless with each new SOTA LLM - senior level responsibility out-of-the-box - starting more projects because "it's now possible" - starting projects way above the pay grade because "it's now possible" - the feeling of walking on a constantly moving floor - the feeling of loosing control over the product - the lack of a codebased mental model feel free to add yours.
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Simple Idea, Big Impact. Jammu & Kashmir authorities have introduced QR codebased identification for tourism stakeholders, including pony operators, shawl sellers and outside vendors to verify authenticity. A Good Step to cut fraud, build trust and protect genuine locals.
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Evolution of my app: Svelte > Solid start > Tanstack start Nuked: Tanstack start, @vite_js, @nitrojsdev, H3 Current: @bunjavascript @EffectTS_ @tan_stack router with codebased routing @solid_js @zero__ms @DrizzleORM @neondatabase That's it. Fast. Clean. Simple.
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Replying to @SoqucoinAI
every PoW chain has the underlayin value in cost of electricity and computation energy in each block been mined, in $SOQ the value that been mined are secured with PQC signature! the battle tested DOGECOIN codebased with PQC, get in early with the ticket on $pSOQ
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Testing argument in 2025 Codebased automation vs Codeless Automation Testing in 2026 Why are we still generating scripts at all? Go from Intent -->execution with autonomous QA agents
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Stop trusting "Trust Me Bro" multisigs with your #Bitcoin. We have normalized putting $1B TVL into 5 of 9 signer setups. That is not DeFi. That is centralized banking with extra steps. @beyond__tech takes a different route. It leverages the #LayerZero stack for Bitcoin interoperability. This isn't about marketing fluff. It's about finality and risk isolation. The Technical Alpha: • DVNs (Decentralized Verifier Networks): No single point of failure. • Modular Security: Applications can configure their own security stack. • Native Settlement: Transactions settle on Bitcoin, not a sidechain database. Compare the flow: Legacy Bridge: Lock BTC -> Trust Signers -> Mint wBTC. Beyond: Verify State -> Messaging Protocol -> Release/Mint Native Asset. The friction is gone. The counterparty risk is minimized. Most people miss this: #Beyond isn't competing with Merlin or B² Network. It is the highway that makes them usable. It empowers them by connecting them to Solana and Ethereum liquidity. If we see another bridge hack in Q1 2026, Then capital will flee to verifiable protocols like Beyond immediately. Security is the only metric that matters when the bear market ends. 📑Bookmark this for the next security debate. 🔁Quote this: Would you trust a multisig or codebased verification?
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Jan 20
kudos to micky malka and becky kleiner for pioneering codebased art on the NODE platform
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GM CT /\ today the ai defi space is getting noisy.. while some projects focus on ai models for trading signals or decentralized compute for agents.. @almanak unique angle is its focus on building a swarm of collaborative ai agents that deploy and manage onchain financial strategies less about raw prediction power more about turning natural language ideas into verifiable codebased plays that run autonomously across chains its success will depend on making the swarm the go to layer for anyone wanting quantlevel execution without the dev overhead almanak is making a bet that the future of ai in defi isnt just about smarter forecasts but about who can orchestrate secure adaptive strategies at scale by creating open incentivized vaults for tokenized ai plays aims to spark a network effect where collective optimizations outpace any solo agent in isolation gAlmanak
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23 Aug 2025
Replying to @wagslane
100% correct. When using the tools on existing projects I have to be extremely specific on expectations and requirements to keep it from getting out of control. I think the only way to have ai coding create, manage, and maintain an actual business sized codebased would be to go extreme with microservices. That way the agent can easily keep track of what this service is doing.
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now lets understand executor > executor focuses on operational information gathering, it explores unsearched areas with the help of tools and search primitives > codebased tool calls' generates executable code within <code> tags, runs it in a sandbox with pre-imported tools, and feeds results back into context > standardized search primitives are functions for common search patterns to enhance the capabilities
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Had an issue I was stumped on yesterday, so today I told claude code we struggled on a solution all day yesterday. Here's what I prompted: I worked on fixing this all day yesterday with you, and we did not develop a working solution. There has to be a complex reason this is not working. Take your time to do a deep dive on the entire codebase to understand why this isn't working and how you can get it working. Claude then read the whole codebased, then searched the internet for how to get a working solution, then BOOM, implemented a working solution! Great lesson out of today when I struggle with a feature, I didn't even know claude code could do a deep dive research of the web!
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31 Jul 2025
Updates guys! Instant, Smart Insurance Is Live Why wait weeks for claims when AI can settle them in seconds? Your Allora is bringing intelligent, onchain coverage that actually works. Let’s break it down guys! What’s Broken Today DeFi insurance still acts like the old system; Slow manual processes x Endless delays and arguments x Zero clarity x Trust issues everywhere x By the time help arrives, it’s already too late. Now we enter Allora’s AI Insurance Vaults Allora’s AI doesn’t just track risk,it handles it. Writes policies ✓ Builds risk models ✓ Listens to real-time data ✓ Executes claims instantly ✓ No approvals. No bottlenecks. Just protection. Live Risk Monitoring Allora’s AI agents scan for red flags 24/7: Droughts & weather shifts ✓ Protocol exploits ✓ Flash crashes ✓ Agri-failures ✓ Now when danger hits preset conditions, funds are released immediately, no human needed. Real World Example A farmer buys drought insurance. Sensors detect dry conditions. Satellites confirm it. AI triggers payout before crops fail. No paperwork. No debates. Just instant relief. So why does its matters? Zero intermediaries ✓ Codebased logic✓ Fast recovery ✓ Lower costs ✓ Smarter outcomes ✓ Allora brings more than automation, it brings trustless compassion. The bottom line is? @AlloraNetwork is transforming insurance into an intelligent, self operating protocol; Predictive AI✓ Automated settlements✓ Onchain protection✓ So no more waiting and totally get covered the moment things go wrong. The smart AI we need? It's Allora gML
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At the core of @ice_blockchain ecosystem, ICE Client App is single codebased, crafted with #Flutter to adapt with multiple Platforms, whether you are on Mobile 📱, desktop 🖥️ or web 🌐... Join Us today as we explore dApp creation and how #ICE Client will change the game for the internet 🛜 x.com/i/spaces/1gqxvjlmEDaxB
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Replying to @zanbuilds
just use existing tools for auth/protected stuff and regularly ask smart models to review codebased on vulnerabilities
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12 Jun 2025
Replying to @z0r0zzz @RyanSAdams
it necessarily competes with legacy governance, particularly in light of its history of bailouts in the DAO hard fork. These can be features. The prevailing trust issue for near future: how we work with codebased intelligences that are given more key discretion in a chaotic world
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What is Sui’s “TransactionDenyConfig”?: According to TransactionDenyConfig module on Sui codebased, it is a configuration that is designed to apply transaction-level restrictions at the signing phase(which involves validators, coming to a common agreement before this can be done) This config enables Sui validators to deny certain transaction types or actions before they are executed, which involves applying certain constraints like: -Denying specific objects, packages, or addresses. -Disabling user transactions entirely. -Disabling shared objects or zkLogin-related logic. However this is implemented in rare cases such as @CetusProtocol incidents!
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