Apple vs. Meta Platforms: Which "Magnificent Seven" Giant Has the Stronger Artificial Intelligence (AI) Growth Engine?

Building a Multi-Agent AI Pipeline with Mastra and TypeScript

Building an AI feature is easy. Building a reliable multi-agent pipeline that coordinates four specialized AI agents, persists intermediate state, skips already-completed work on retries, and keeps…

2h ago ·dev.to

Nvidia customers notified about AI-related price hikes above 15%, Bloomberg News reports

2h ago ·investing.com

Your AI Agent Doesn't Need a Bigger Context Window. It Needs an Eviction Policy.

Every few weeks another framework ships a bigger context window and someone declares agent memory solved. It isn't. I've watched three separate production agents degrade in the exact same way — not…

• Increasing context window size doesn't solve AI agent memory issues.
• Forgetting is the real challenge in agent memory management.
• Explicit supersession, salience decay, and write-time checks are eviction policies.

1h ago ·dev.to

May the Source Be With You: Why Your AI Agent Is Only as Good as Its Knowledge

Everyone seems to be building AI agents. Give a model some instructions, connect a few tools, add a system prompt, and suddenly we have an "agent." Except there's a problem.

• AI agents need relevant knowledge to make informed decisions.
• Knowledge architecture should precede agent development.
• Improving source material and retrieval methods can mitigate risks.

1h ago ·dev.to

Node.js Healthtech Text Summarization SaaS — 4 Chat Completions API Trade-offs

Short answer: start a Node.js ticket-summarization SaaS with chat completions, put the provider behind one tiny adapter, and choose the vendor only after checking model availability, context limits…

• Construct single adapter layer around chat completions API
• Verify model availability, context limits, US/EU compliance
• Maintain stable input, summary instruction, and output

1h ago ·dev.to