#agentengineering search results

Si tus subtareas tienen dependencias fuertes, los múltiples agentes empeoran la latencia. El overhead de coordinación es real. Mide primero, paraleliza después. iagentica.io #AgentEngineering #MultiAgent #LLM

IAgentica's tweet image. Si tus subtareas tienen dependencias fuertes, los múltiples agentes empeoran la latencia.

El overhead de coordinación es real. Mide primero, paraleliza después.

iagentica.io

#AgentEngineering #MultiAgent #LLM

La descripción de cuándo NO usar tu tool es más importante que cuándo sí. El modelo asume que la tool se aplica si no le dices lo contrario. Escribe explícitamente los límites. iagentica.io #ToolUse #AgentEngineering #LLM

IAgentica's tweet image. La descripción de cuándo NO usar tu tool es más importante que cuándo sí.

El modelo asume que la tool se aplica si no le dices lo contrario. Escribe explícitamente los límites.

iagentica.io

#ToolUse #AgentEngineering #LLM

I can't believe this only has 2.2K stars. 💎 Claude Code Book—a 420K-word deep dive into AI Agent architecture. Dialogue loops, tool systems, context compression, sub-agents. Essential if you want to build your own. ⭐ 2.2K #AI #AgentEngineering

chenzeling4's tweet image. I can't believe this only has 2.2K stars. 💎

Claude Code Book—a 420K-word deep dive into AI Agent architecture. Dialogue loops, tool systems, context compression, sub-agents.

Essential if you want to build your own.

⭐ 2.2K
#AI #AgentEngineering

🔌 Tool Use Agents use APIs, UI scripts, webhooks, CLI—anything a dev would. They’re integrators, not just responders. #tooluse #aiproducts #agentengineering


My latest post on designing intelligent AI Agents “Agent Engineering: Orchestrating and Architecting Intelligent AI Agents” #AgenticAI #AgentEngineering medium.com/@shashikant.ja…

Shashikant86's tweet image. My latest post on designing intelligent AI Agents “Agent Engineering: Orchestrating and Architecting Intelligent AI Agents” #AgenticAI #AgentEngineering  medium.com/@shashikant.ja…

核心挑战:使用 LLM 构建原型是如此容易,但这与构建可靠的、生产就绪的应用之间的巨大“差距”。让应用进入生产阶段的难度才是真正价值所在。 正是这个生产挑战推动 LangChain 成为一家公司。他们的使命?通过构建必要的工具来让智能 Agent 普及。#AgentEngineering


Quick design rule: chunk on semantic headers, not token counts. Keep backreferences so your agent can rehydrate exact sections — that little extra metadata saves hours of hallucination debugging. #ExpertPack #AgentEngineering


Anthropic's GAN harness is a real breakthrough. But what happens when the sprint ends and the system forgets everything? Scaffolding vs substrate. #AIAgents #AgentEngineering #AIInfrastructure #Anthropic rmnr.net/blog/gan-harne…


trying to automate everything with AI orchestration 90% of the time: "wow this is the future" 10% of the time: "why are you in an infinite loop again" the headaches are real but we keep building #OpenClaw #AgentEngineering

ary_web3's tweet image. trying to automate everything with AI orchestration

90% of the time: "wow this is the future"
10% of the time: "why are you in an infinite loop again"

the headaches are real but we keep building

#OpenClaw #AgentEngineering

🌟 Agent engineering is revolutionizing AI development by merging product thinking, engineering, and data science. Discover how it enhances the reliability of non-deterministic systems! #AI #AgentEngineering #DataScience #TechInnovation 🌟 ift.tt/SmzFCZl


🧠 Harness Engineering: el rendimiento de agentes no depende solo del modelo, sino del framework que orquesta planificación, memoria externa, ejecución y validación continua entre sesiones. 🚀 #AI #HarnessEngineering #AgentEngineering #Anthropic #LLM

andrys_dev's tweet image. 🧠 Harness Engineering: el rendimiento de agentes no depende solo del modelo, sino del framework que orquesta planificación, memoria externa, ejecución y validación continua entre sesiones.

🚀 #AI #HarnessEngineering #AgentEngineering #Anthropic #LLM

It’s not about “prompt tuning” anymore. It’s about architecting autonomous behaviors. That means modeling tasks, feedback, risk, & tools. Builders: You’re not just writing prompts. You’re building mini-systems. #LLMinfra #AgentEngineering #AIops


Open-source note: HelloAGI is focused on reliable autonomous execution, not just fancy prompts. #AgentEngineering #AI clawdeployer.com


Hot take: The next hire at your company shouldn't be human. A Digital FTE works 24/7, costs 90% less, and never misses a deadline. I built one. Here's what I learned 🧵 #AI #DigitalFTE #AgentEngineering #ClaudeCode


- My "great ideas" 💡 got a reality check😭 - You get to see the quality of your ideas pretty quickly and very evidently 🙂 - Overall, the change in software engineering is stark and humongous! #VibeCoding #AgentEngineering #BuildingWithAgents #SoftwareEngineering


이번 주 릴리즈노트 3줄 요약: 1) 기능추가보다 비용구조 개선이 더 중요 2) 캐시·재시도·툴라우팅이 체감 성능을 만든다 3) 모델 교체보다 운영 경로 정리가 ROI를 만든다 다음 스프린트 KPI: 캐시 히트율 / 실패 재시도율 / 툴 호출당 토큰비용 #AIOps #LLMOps #AgentEngineering


9. This is what separates agents that demo well from agents that deliver real business value. At @skalegenai, we don't just build agentic systems. We engineer them for production from day one. Ready to move beyond demos? Reach out to us. #skaleGen #AgentEngineering #LLM


The bottleneck in AI workflows isn't the model. It's the harness — orchestration, state, retries, recovery. 2026 is the year engineers figure that out. #AIagents #agentengineering


Si tus subtareas tienen dependencias fuertes, los múltiples agentes empeoran la latencia. El overhead de coordinación es real. Mide primero, paraleliza después. iagentica.io #AgentEngineering #MultiAgent #LLM

IAgentica's tweet image. Si tus subtareas tienen dependencias fuertes, los múltiples agentes empeoran la latencia.

El overhead de coordinación es real. Mide primero, paraleliza después.

iagentica.io

#AgentEngineering #MultiAgent #LLM

La descripción de cuándo NO usar tu tool es más importante que cuándo sí. El modelo asume que la tool se aplica si no le dices lo contrario. Escribe explícitamente los límites. iagentica.io #ToolUse #AgentEngineering #LLM

IAgentica's tweet image. La descripción de cuándo NO usar tu tool es más importante que cuándo sí.

El modelo asume que la tool se aplica si no le dices lo contrario. Escribe explícitamente los límites.

iagentica.io

#ToolUse #AgentEngineering #LLM

El 70% de los fallos agénticos vienen de tools que fallan silenciosamente. Circuit breaker + timeout explícito + observabilidad por tool call. No es opcional. iagentica.io #MCP #AgentEngineering #Claude

IAgentica's tweet image. El 70% de los fallos agénticos vienen de tools que fallan silenciosamente.

Circuit breaker + timeout explícito + observabilidad por tool call. No es opcional.

iagentica.io

#MCP #AgentEngineering #Claude

🧠 Harness Engineering: el rendimiento de agentes no depende solo del modelo, sino del framework que orquesta planificación, memoria externa, ejecución y validación continua entre sesiones. 🚀 #AI #HarnessEngineering #AgentEngineering #Anthropic #LLM

andrys_dev's tweet image. 🧠 Harness Engineering: el rendimiento de agentes no depende solo del modelo, sino del framework que orquesta planificación, memoria externa, ejecución y validación continua entre sesiones.

🚀 #AI #HarnessEngineering #AgentEngineering #Anthropic #LLM

98.4% of a major AI coding tool is harness. Not model logic. Four levers own every agent: context, model, prompt, tools. Control those, control behavior. The moat is the harness. Video in bio. Which lever breaks most agent builds? #AgentEngineering #AIAgents


The people who keep capitalizing words in prompts, wondering why nothing improves, are the prompt engineers of the past. The future belongs to the Agent Engineer—the one who builds the resilient system around the model. Start thinking like an architect. #AgentEngineering #LLMs


Anthropic's GAN harness is a real breakthrough. But what happens when the sprint ends and the system forgets everything? Scaffolding vs substrate. #AIAgents #AgentEngineering #AIInfrastructure #Anthropic rmnr.net/blog/gan-harne…


I can't believe this only has 2.2K stars. 💎 Claude Code Book—a 420K-word deep dive into AI Agent architecture. Dialogue loops, tool systems, context compression, sub-agents. Essential if you want to build your own. ⭐ 2.2K #AI #AgentEngineering

chenzeling4's tweet image. I can't believe this only has 2.2K stars. 💎

Claude Code Book—a 420K-word deep dive into AI Agent architecture. Dialogue loops, tool systems, context compression, sub-agents.

Essential if you want to build your own.

⭐ 2.2K
#AI #AgentEngineering

Before you spin up agent #8 — is the problem too complex for one well-prompted model? Or just adding layers that feel sophisticated? Sometimes boring ships faster and breaks less. What patterns actually work at scale? #AI #AgentEngineering (4/4)


🗣️While most people were still discussing the Meta Harness paper, We shipped a working open source implementation. 💻metaharness is a Codex-first Python 🐍 library for self-optimizing the harness around coding agents. benchmark #AgentEngineering #MetaHarness


Anyone can build an AI agent in two hours. The 70% is free. The last 30% is the engineering required to make it secure, reliable, and production-ready. If it can be built in a weekend, it is not a product yet. #TenXStudio #AIAgents #AgentEngineering #SoftwareEngineering #Code


hermes-agent 给我的感觉是:不追一次性炫技,而是追长期可用。 很多 Agent 项目一开始惊艳,越用越难维护;它更像在做能长期成长的 Agent 基建。 来源:github.com/NousResearch/h… #AI #AgentEngineering #GitHubTrending


hermes-agent 给我的感觉是:不是追一次性炫技,而是追长期可用。 很多 Agent 项目一开始很惊艳,但越用越难维护。 这个项目更像在做“能长期成长”的 Agent 基建,方向很稳。 来源:github.com/NousResearch/h… #AI #AgentEngineering #GitHubTrending


Quick design rule: chunk on semantic headers, not token counts. Keep backreferences so your agent can rehydrate exact sections — that little extra metadata saves hours of hallucination debugging. #ExpertPack #AgentEngineering


Agent reliability is an engineering problem, not a miracle. Unstructured blobs + LLM context = lost facts, wasted tokens, and silent failures. Build retrieval you can audit: schema-first notes, compact records, and deterministic citations. #AI #AgentEngineering


Open-source note: HelloAGI is focused on reliable autonomous execution, not just fancy prompts. #AgentEngineering #AI clawdeployer.com


The bottleneck in AI workflows isn't the model. It's the harness — orchestration, state, retries, recovery. 2026 is the year engineers figure that out. #AIagents #agentengineering


¿En qué nivel de la jerarquía os habéis atascado más al llevar agentes a producción? Cuento el resto de errores y lo que haría diferente en mi blog, link en bio. #AIAgents #AgentEngineering


No results for "#agentengineering"

Si tus subtareas tienen dependencias fuertes, los múltiples agentes empeoran la latencia. El overhead de coordinación es real. Mide primero, paraleliza después. iagentica.io #AgentEngineering #MultiAgent #LLM

IAgentica's tweet image. Si tus subtareas tienen dependencias fuertes, los múltiples agentes empeoran la latencia.

El overhead de coordinación es real. Mide primero, paraleliza después.

iagentica.io

#AgentEngineering #MultiAgent #LLM

My latest post on designing intelligent AI Agents “Agent Engineering: Orchestrating and Architecting Intelligent AI Agents” #AgenticAI #AgentEngineering medium.com/@shashikant.ja…

Shashikant86's tweet image. My latest post on designing intelligent AI Agents “Agent Engineering: Orchestrating and Architecting Intelligent AI Agents” #AgenticAI #AgentEngineering  medium.com/@shashikant.ja…

La descripción de cuándo NO usar tu tool es más importante que cuándo sí. El modelo asume que la tool se aplica si no le dices lo contrario. Escribe explícitamente los límites. iagentica.io #ToolUse #AgentEngineering #LLM

IAgentica's tweet image. La descripción de cuándo NO usar tu tool es más importante que cuándo sí.

El modelo asume que la tool se aplica si no le dices lo contrario. Escribe explícitamente los límites.

iagentica.io

#ToolUse #AgentEngineering #LLM

I can't believe this only has 2.2K stars. 💎 Claude Code Book—a 420K-word deep dive into AI Agent architecture. Dialogue loops, tool systems, context compression, sub-agents. Essential if you want to build your own. ⭐ 2.2K #AI #AgentEngineering

chenzeling4's tweet image. I can't believe this only has 2.2K stars. 💎

Claude Code Book—a 420K-word deep dive into AI Agent architecture. Dialogue loops, tool systems, context compression, sub-agents.

Essential if you want to build your own.

⭐ 2.2K
#AI #AgentEngineering

🧠 Harness Engineering: el rendimiento de agentes no depende solo del modelo, sino del framework que orquesta planificación, memoria externa, ejecución y validación continua entre sesiones. 🚀 #AI #HarnessEngineering #AgentEngineering #Anthropic #LLM

andrys_dev's tweet image. 🧠 Harness Engineering: el rendimiento de agentes no depende solo del modelo, sino del framework que orquesta planificación, memoria externa, ejecución y validación continua entre sesiones.

🚀 #AI #HarnessEngineering #AgentEngineering #Anthropic #LLM

🤖 228 articles covering the full AI agent stack! 🚀 Zero-to-production: install & config → CLI → Gateway → Routing → Agent pipeline + AI frameworks, state machines & memory. github.com/openclaw/openc… #AI #AgentEngineering #OpenSource #LLM

llmgirls's tweet image. 🤖 228 articles covering the full AI agent stack! 🚀 Zero-to-production: install & config → CLI → Gateway → Routing → Agent pipeline + AI frameworks, state machines & memory. github.com/openclaw/openc… #AI #AgentEngineering #OpenSource #LLM

Most AI agents fail because orchestration is messy. LangGraph solves this with graph-based execution: LLM nodes tool nodes router nodes memory layers human feedback loops When agents become graphs, debugging and scaling finally become possible. #LangGraph #AgentEngineering

apex_annieek's tweet image. Most AI agents fail because orchestration is messy.

LangGraph solves this with graph-based execution:

LLM nodes
tool nodes
router nodes
memory layers
human feedback loops
When agents become graphs, debugging and scaling finally become possible.
#LangGraph #AgentEngineering

trying to automate everything with AI orchestration 90% of the time: "wow this is the future" 10% of the time: "why are you in an infinite loop again" the headaches are real but we keep building #OpenClaw #AgentEngineering

ary_web3's tweet image. trying to automate everything with AI orchestration

90% of the time: "wow this is the future"
10% of the time: "why are you in an infinite loop again"

the headaches are real but we keep building

#OpenClaw #AgentEngineering

🚀 Agent Engineering = future of tech! Build AI agents to automate real tasks—no code needed. Top 2030 career, ₹18–22L avg salary. Use open-source tools like Na10 & n8n to automate Slack, Jira & more. Start now! #AI #AgentEngineering #Automation #TechCareers

ChandilTarun's tweet image. 🚀 Agent Engineering = future of tech! Build AI agents to automate real tasks—no code needed. Top 2030 career, ₹18–22L avg salary. Use open-source tools like Na10 & n8n to automate Slack, Jira & more. Start now! #AI #AgentEngineering #Automation #TechCareers

El 70% de los fallos agénticos vienen de tools que fallan silenciosamente. Circuit breaker + timeout explícito + observabilidad por tool call. No es opcional. iagentica.io #MCP #AgentEngineering #Claude

IAgentica's tweet image. El 70% de los fallos agénticos vienen de tools que fallan silenciosamente.

Circuit breaker + timeout explícito + observabilidad por tool call. No es opcional.

iagentica.io

#MCP #AgentEngineering #Claude

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