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Public story · 2026-03-12 · source-backed
Deploy Nemotron 3 Super for Agentic Reasoning (ml-ops, advanced) — 120B MoE activating only 12B params. vLLM with --reasoning-parser nemotron_v3. NVIDIA Blog
Build Multimodal RAG with Gemini Embedding 2 (ml-ops, intermediate) — Text, images, video, audio in one 3072-dim vector space. Truncate to 768 dims for 75% storage savings. Google AI
Defend Browser Agents Against Prompt Injection (agent-security, advanced) — Anthropic achieved ~1% attack success rate via RL training. OpenAI's automated red teaming discovers multi-step attack chains. Anthropic Research
Six Pillars Context Engineering for Claude Code (vibe-coding, intermediate) — Recover ~15K tokens/session, cut costs 50-70%. Progressive disclosure, Plan Mode, /clear between tasks. ClaudeFast
Scan MCP Servers with Cisco MCP Scanner (agent-security, intermediate) — Three engines: YARA + LLM-as-judge + behavioral analysis. CI/CD integration via REST API. GitHub
Codespeak Spec-First "Takeover" (vibe-coding, intermediate) — Convert existing code to specs 5-10x smaller. Maintain specs, not code. 10x spec-to-code amplification demonstrated on MarkItDown. Codespeak
Harness Engineering Entropy Management (agent-patterns, advanced) — Cleanup agents as background processes. Golden principles, documentation consistency agents, constraint violation scanners. Martin Fowler
Parallel Coding Agents with ComposioHQ Orchestrator (agent-patterns, advanced) — Each agent gets own worktree, branch, PR. 84.6% CI self-correction. Agent-agnostic, runtime-agnostic. GitHub
Production RAG Evaluation with Langfuse + RAGAS (ml-ops, intermediate) — Reference-free scoring on production traces. Faithfulness, relevancy, context precision. Per-trace or batch modes. Langfuse
Multi-Agent Reliability with Typed Schemas (agent-patterns, advanced) — 5x token savings. Three-tier error recovery: retry, repair, escalate. Checkpoint persistence. GitHub Blog
Each link below shares sources, entities, or timing with this story.
LLM uses OpenAI / Shared entities / Same source domain / Shared topic / What happened next / Tension
Linked by a graph relationship (LLM uses OpenAI); both cover Anthropic, Claude Code, GitHub, OpenAI; reported by the same outlet (github.blog, github.com).
Claude Code uses WebFetch / Shared entities / Same source domain / Shared topic / What happened next
Linked by a graph relationship (Claude Code uses WebFetch); both cover Agent, Anthropic, Claude Code, GitHub; reported by the same outlet (github.com).
LLM uses OpenAI / Shared entities / Same source domain / Shared topic / What happened next
Linked by a graph relationship (LLM uses OpenAI); both cover Anthropic, Claude Code, ComposioHQ, GitHub; reported by the same outlet (github.com).
Claude Code uses MCP / Shared entities / Same source domain / Shared topic / What happened next / Tension
Linked by a graph relationship (Claude Code uses MCP); both cover Agent, Claude Code, GitHub, Skills; reported by the same outlet (github.com).
Claude Code competes with Cursor / Shared entities / Same source domain / Earlier coverage
Linked by a graph relationship (Claude Code competes with Cursor); both cover Agent, Anthropic, Claude Code, GitHub; reported by the same outlet (anthropic.com, github.com).
LLM uses OpenAI / Shared entities / Same source domain / Shared topic / What happened next
Linked by a graph relationship (LLM uses OpenAI); both cover Agent, Claude Code, GitHub, OpenAI; reported by the same outlet (github.blog, github.com).
Claude Code competes with Cursor / Shared entities / Same source domain / Shared topic / What happened next
Linked by a graph relationship (Claude Code competes with Cursor); both cover Anthropic, Claude Code, GitHub, Skills; reported by the same outlet (github.blog, github.com).
Linked by a graph relationship (Claude Code competes with Cursor); both cover Anthropic, Claude Code, Each, GitHub; reported by the same outlet (anthropic.com, github.blog).