#AI编程
9636 related articles

From Voice Memos to GitHub Issues and PRs: ElevenLabs Scribe in Action
Use phone voice memos with ElevenLabs Scribe API and a headless coding agent to auto-convert spoken bug reports into structured GitHub Issues and PRs via webhooks.

@ai-sdk/xai@5.0.1 Released: A Dependency-Focused Patch Update
Vercel AI SDK releases @ai-sdk/xai@5.0.1 patch, updating @ai-sdk/provider and provider-utils dependencies. Learn what this means for developers integrating xAI models.

Vercel AI SDK Releases @ai-sdk/togetherai@3.0.51 Patch Update
Vercel AI SDK releases @ai-sdk/togetherai@3.0.51 patch update, syncing openai-compatible, provider-utils, and provider dependencies. No breaking changes.

@ai-sdk/tui@1.0.104 Released: Vercel AI SDK Dependency Update
@ai-sdk/tui@1.0.104 is a patch release in the Vercel AI SDK ecosystem, syncing dependencies to align with ai@7.0.103. Learn what changed and why it matters.

Vercel AI SDK Vue 4.0.103 Released: Dependency Update Breakdown
Vercel AI SDK releases @ai-sdk/vue@4.0.103 patch, syncing ai@7.0.103 and @ai-sdk/provider-utils@5.0.42 dependencies. Breakdown of changes and upgrade tips for Vue developers.

@ai-sdk/valibot 3.0.42 Released: Dependency Update Breakdown
@ai-sdk/valibot 3.0.42 patch released for Vercel AI SDK, syncing @ai-sdk/provider-utils to 5.0.42. Learn what changed, what this package does, and upgrade tips.

Vercel AI SDK Introduces TypeSafe Evaluation Provider, Reshaping How We Evaluate LLMs
Vercel AI SDK releases @ai-sdk/typesafe-ai@3.0.0, introducing a TypeSafe provider for experimental_evaluate with Choice, Score, Boolean assessments, structured JSON rubrics, probability distributions, confidence metadata, and workflow serialization.

@ai-sdk/voyage 2.0.42 Released: Dependency Update Breakdown
@ai-sdk/voyage 2.0.42 patch release syncs @ai-sdk/provider-utils to 5.0.42 and @ai-sdk/provider to 4.0.16. Learn what this means for Voyage AI embedding users.

Vercel AI SDK Releases workflow-harness 1.0.113 Patch Update
Vercel AI SDK releases @ai-sdk/workflow-harness 1.0.113, a patch update syncing the internal harness dependency. No breaking changes — safe to upgrade.

@ai-sdk/zai 3.0.12 Released: Dependency Update Patch
Vercel AI SDK releases @ai-sdk/zai 3.0.12, a patch update syncing core dependencies including openai-compatible and provider-utils. Learn what changed and upgrade tips.

$20/Month vs. $5M/Year: The Fundamental Difference Between Cursor and Blitzy
Cursor at $20/month vs. Blitzy at up to $5M/year: a Grafana 3M-line codebase test reveals how these AI coding tools differ in context, work unit, and production readiness.

Matt Pocock Skills Deep Dive: Turning AI Coding from Chat into Engineering
Matt Pocock Skills transforms AI coding into an engineering workflow: requirements discussion, SPEC generation, task breakdown, TDD implementation, and code review — solving vague requirements and repeated bugs.

Using Agentic AI to Migrate CUDA Tile Operations from Python to Rust
NVIDIA used Agentic AI to translate CUDA Tile ops from Python to Rust, creating cuTile Rust (cutile-rs) — a safe, tile-based GPU kernel system for Rust. Explore the technical approach and agentic translation paradigm.

$20/Month vs. $1M/Year: Two Paradigms of AI Coding Agents
Cursor ($20/mo) vs. Blitzy (enterprise, $1M+/yr) tested on Grafana's 3M-line codebase: one delivers a working demo, the other a mergeable enterprise PR. Two AI coding paradigms explained.

Loop Unrolling for Gauss-Seidel Iteration: Breaking the Loop-Carried Dependency Bottleneck
A deep dive into loop-carried dependencies in Gauss-Seidel iteration and how loop unrolling breaks dependency chains to hide latency and boost numerical computing performance.

Under 200 Lines of Code: Building an Agent from Scratch and Demystifying OpenClaw
Build an Agent from scratch in under 200 lines of code. Covers LLM calls, while loops, history memory, system prompts, tool calling, and progressive skill disclosure.

AI Agent for Beginners: From Large Language Models to Intelligent Agent Development
A beginner's guide to AI Agent development: from AI, ML, and deep learning to Transformer and LLMs, plus a 4-stage learning roadmap covering Prompt engineering, RAG, MCP, and LangChain.

4 Top AI Models Build a Gladiator Game from Scratch: A Deep Dive into Multi-Agent Collaboration
A creator used Fable 5, Opus 5, GPT, and GROK in a multi-agent system to build a gladiator game from scratch. This breakdown covers orchestration loops, zero-context judging, Trippo 3D generation, and real failure cases where AI fooled its own reviewers.

AI Agent Developer Job Hunt Guide: Four Hard Standards to Clear Before You Apply
A practical guide for landing AI Agent developer roles: four measurable standards — project runs, problems debuggable, solution explainable, interviews survivable.

Multi-Agent Development Guide: From Monolithic AI to Team Collaboration in Practice
A beginner's guide to multi-agent development covering core advantages, common learning pain points, enterprise tech stacks, and engineering methodology for AI developers.