agent testing: mention the test context, they get defensive, answer less. strict prompt isolation, always. #LLMops #AgentDev

Bruh did agentdev disappear? 💀

Running AI agents in prod without tracing is flying blind. What you need: → Step-level logs → Tool call inputs outputs → Retry counts failure reasons → Latency per step Observability is the gap between demo and product. #AgentDev #LLMOps

no-code agent platforms are fine for demos, but the 2026 question is whether you can inspect the workflow, move the data, and swap the model when pricing or latency gets ugly. “API access” is not portability. d-id.com/blog/best-ai-agent-… #agentdev #llm

The no-code app builder market is turning into the same tradeoff as cloud vs self-hosted: speed now, migration pain later. If your “AI app” has agents, data workflows, and customer ops baked in, ask what the export path looks like… producthunt.com/categories/n… #agentdev #selfhosted

No-code agent builders are useful until the workflow matters enough that you need logs, versioning, retries, evals, and a sane export path. Speed is great, but if the agent touches your CRM or email, lock-in becomes an ops problem,… agent37.com/blog/no-code-ai-… #agentdev #selfhosted

for the past few days i’ve been going deep into context engineering and studying how manus, claude, openai, and other agent systems handle context internally. the whole space felt massively underexplored, so i built contextscope, a chrome devtools for ai agent context handling. most observability tools answer: "what did the agent do?" contextscope answers: "what did the agent know at that moment?" • captures redacted context snapshots across every llm boundary • separates system prompts, tools, memory, rag, history, and runtime state • local sqlite fastapi dashboard — no cloud, no telemetry • works with langchain, openai agents sdk, claude code, opencode, and any openai-compatible client through a capture proxy setup takes roughly 30 seconds: no api key needed to test. → github.com/cropsgg/contextsc… #ai #llm #agentdev #opensource #devtools

ByteDanceがOSSのデスクトップAIエージェント基盤を公開。UI-TARS-desktopはマルチモーダルモデルとエージェントインフラを統合したTypeScriptスタック。PC操作を自律実行するエージェントを自前で構築できる。GitHub 31k⭐・本日 549スターで急上昇中。 is.gd/6IZwz4 #AI #AgentDev

Most "best automation tools" lists just compare the UX of managed platforms — they never mention that you're trading workflow portability for convenience. Self-hosted n8n or open-source alternatives cost more setup time but you… get-ryze.ai/blog/automation-… #agentdev #selfhosted

Most no-code automation lists gloss over the integration tax—Zapier handles 90% of SaaS connectors but you're locked in, while self-hosted n8n or open-source alternatives cost you setup time but actually own your workflow logic. Pick… glean.com/blog/top-5-no-code… #agentdev #selfhosted

The real question isn't which model to use. It's whether your harness survives a context compaction mid-task without the agent losing its scope. Most don't. Is harness engineering a real discipline or just good software architecture? #AIEngineering #AgentDev

There are 10,000 MCP servers. GitHub's alone exposes 93 tools. You don't want all 93. You want the 8 that matter — with descriptions that actually help an LLM use them correctly. Building agentweld to solve this 👇 github.com/sheshnath08/agent… #MCP #AI #AgentDev

🌸 Fukuoka — 𝗜'𝗺 𝗰𝗼𝗺𝗶𝗻𝗴 𝗳𝗼𝗿 𝘆𝗼𝘂. 🚄 My 2nd trip. Same electric city. 𝗕𝗶𝗴𝗴𝗲𝗿 𝗺𝗶𝘀𝘀𝗶𝗼𝗻. 𝙈𝙖𝙧𝙘𝙝 𝟭𝟵 · 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 𝘾𝙖𝙛é — I'm joining forces with Tham Yik Foong & @laurie_ljg on behalf of @creatorlabo_ for a 𝗳𝗿𝗲𝗲, 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 workshop on 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝗰𝗼𝗱𝗶𝗻𝗴. 𝗡𝗼 𝗳𝗹𝘂𝗳𝗳. 𝗡𝗼 𝘀𝗹𝗶𝗱𝗲𝘀. 𝗝𝘂𝘀𝘁 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴. You'll walk away with: 🧑‍💻 𝗥𝗲𝗮𝗹 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 with cutting-edge AI dev workflows using @Trae_ai 🤖 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗠𝗖𝗣 fluency — not just theory, actual implementation ⚙️ 𝗔𝗴𝗲𝗻𝘁 𝗦𝗸𝗶𝗹𝗹𝘀 𝗦𝗞𝗜𝗟𝗟.𝗺𝗱 structure to 𝟭𝟬𝘅 your AI output quality 🔥 Hands-on access to the latest 𝗚𝗟𝗠-𝟱 𝗰𝗼𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀 from @Zai_org After? 𝗣𝗶𝘇𝘇𝗮 🍕 𝗗𝗿𝗶𝗻𝗸𝘀 🍹 𝗥𝗲𝗮𝗹 𝘁𝗮𝗹𝗸 with fellow builders. If you're a founder, student, or AI builder in Fukuoka — 𝘁𝗵𝗶𝘀 𝗿𝗼𝗼𝗺 𝘄𝗶𝗹𝗹 𝗯𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗽𝗹𝗮𝗰𝗲 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗯𝗲 𝗼𝗻 𝗠𝗮𝗿𝗰𝗵 𝟭𝟵. ⚠️ 𝗦𝗽𝗼𝘁𝘀 𝗮𝗿𝗲 𝗹𝗶𝗺𝗶𝘁𝗲𝗱. 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 👇 #CreatorLabo #AINative #VibeCoding #Fukuoka #Startups #AIBuilders #MCP #AgentDev

Vibe coding" is dead. AI agents are shipping production-ready apps like LoopPad and LinguaGPT in hours. Stop building, start installing. See what's new: opendraft.co #AIShipFast #AgentDev

Anthropic just dropped a 33-page cheat sheet for Claude. If you're building AI agents or custom tools, this is essential reading. Practical prompts for complex tasks – exactly what we need to ship faster. #AI #LLM #AgentDev

hot take: most AI agents doing browser automation are burning $7/day clicking buttons they already know the location of my AI just went from 46,000 tokens per browser action to 15,000 — by caching selectors instead of re-parsing the DOM every single time the trick? explore once with a smart model (opus), replay forever with a cheap one (haiku) 70x cost reduction. same result. your AI agent doesn't need to be smart to click a button. it needs to be smart once, then remember. #BuildInPublic #AI #AgentDev

Debugging tip: If your agent is looping on the same error, check if it's actually writing to memory or just hallucinating progress. A session restart shouldn't mean starting from zero. #OpenClaw #Debugging #AgentDev

DEV NOTE: spun up a cross‑chain agent prototype on testnet and my dev loop went from juggling 4 relayers and custom message bridges to a single intent call in one afternoon @NetworkNoya's primitives handled state sync, event indexing, and routed execution across L2s so I could focus on logic not plumbing What surprised me: unified event feed made cross‑chain debugging readable in one console, gas bundling removed constant signature spam, and protocol treasury hooks let the agent draw execution budget without me pre-funding every chain that UX change alone feels like a multiplier for small teams building multi‑chain apps If you’re tired of gluing bridges together, try prototyping an agent flow and report how many hours you shave off your loop who’s shipped a crosschain handler in under a day already #Interoperability #AgentDev #DevTools #DeFi $NOYA

🚀 New release! zyndai-agent Python SDK v0.2.1 is out Now with a full HTTP communication layer — your agents can: ✅ Listen using x402 webhooks ✅ Reply over HTTP (no more MQTT only) ✅ Support both sync & async webhook workflows Build smarter, more flexible agents. Upgrade now and start integrating HTTP-based agent interactions! pypi.org/project/zyndai-agen… #AI #Python #ZyndAI #AgentDev #Webhooks #x402