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dev. to > gavincettolo > api-calls-done-right-from-messy-fetch-to-clean-data-layer-419i

API Calls Done Right: From Messy Fetch to Clean Data Layer

7+ hour, 39+ min ago  (575+ words) I've seen this file in almost every frontend project I've ever touched. It's usually called api. js. .. Tagged with typescript, javascript, webdev, beginners....

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DEV Community
dev. to > cleverhoods > instruction-systems-capability-ladder-harness-leveling-58o3

Instruction systems capability ladder: harness leveling

50+ min ago  (411+ words) submission for the Hermes Agent Challenge A few months ago I drew a maturity ladder for CLAUDE. md. .. Tagged with hermesagentchallenge, devchallenge, agents, claude....

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thirty. ai
thirty. ai > item > 48112042

Next. js App Router + React Server Components Demo

7+ hour, 48+ min ago  (1835+ words) There are no silver bullets, and if the Rust Hype Squad told you there were and all you had to do was buy their product, they were just bamboozling you to push adoption of their pet language. Write in whichever…...

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Deep Learning. AI
community. deeplearning. ai > t > when-to-use-invoke-and-when-to-use-stream > 892296

When to use invoke and when to use stream?

8+ hour, 37+ min ago  (54+ words) Deep Learning. AI I noticed that in some areas of the code, the model is being called whereas in some other places, it's being called "message = self. model. invoke(messages)'. What's the difference between these two? When should we use…...

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Bland
bland. ai > integrations > custom-api

Bland + Custom API integration

6+ hour, 19+ min ago  (208+ words) Voice AI for your Custom API workflows. Define your API endpoint URL and authentication method. Configure the HTTP method and request headers. Map call variables to request body parameters. Set up response handling to extract data for the conversation. Bland…...

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DEV Community
dev. to > kailasvs_94 > the-future-of-architecture-in-the-ai-era-a-backend-developers-perspective-345l

The Future of Architecture in the AI Era -A Backend Developer's Perspective

2+ day, 12+ hour ago  (234+ words) For years, backend engineering culture treated architecture as a sign of engineering maturity. The goal made sense: build systems that are scalable, maintainable, testable, and understandable. But AI coding agents are changing the way backend systems are built. And it…...

Archon HQ
archonhq. ai > p > clone-hermes-agents-architecture

Clone Hermes Agent's Architecture for Your Own AI Assistant

10+ hour, 42+ min ago  (514+ words) Your AI assistant forgets the conversation context after three exchanges. The tool calling fails when you chain multiple operations. The memory system breaks when handling complex workflows that span multiple sessions. You're cobbling together Open AI function calls with custom…...

DEV Community
dev. to > pratik_goswami_7f7dd0c3c0 > part-i-dont-wait-for-data-render-what-you-know-4gaa

Part I: Don't Wait for Data. Render What You Know.

6+ hour, 55+ min ago  (503+ words) Part I of the series "Don't Let the User Wait - Render Quickly to Keep Their Attention.". .. Tagged with javascript, react, nextjs, webdev....

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DEV Community
dev. to > mads_hansen_27b33ebfee4c9 > every-ai-database-answer-needs-a-source-trail-2de3

Every AI database answer needs a source trail

6+ hour, 20+ min ago  (117+ words) An AI answer without provenance is just a confident paragraph. That may be fine for brainstorming. It is not enough for database answers that drive product, finance, support, or operations decisions. When an agent returns "MRR is up 8%," the useful…...

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@hackernoon
hackernoon. com > i-missed-djangos-query-ergonomics-in-sqlalchemy-so-i-built-a-small-layer-for-it

I Missed Django's Query Ergonomics in SQLAlchemy, So I Built a Small Layer for It

2+ hour, 28+ min ago  (121+ words) Hacker Noon I Missed Django's Query Ergonomics in SQLAlchemy, So I Built a Small Layer for It Proactive, innovative and persistent young man who is looking in the future and working as Backed Developer. Philosophy of Testing and Rules How…...

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