Eliza Times

Tips & Techniques

• Claude Code Context Optimization: Token efficiency is critical—vibe coding burns through tokens quickly. Filter context carefully and link to third-party files rather than embedding everything, as LLM accuracy degrades with larger context windows. link

• Chain-of-Thought for Complex Reasoning: Force models to show their work before answering—add "think step by step" to prompts. For production, decompose tasks into explicit stages (plan → solve → verify) and orchestrate with code rather than relying on frameworks. link

• Agent Scaffolding Matters More Than Raw Model Capability: How you structure agentic tasks often outweighs which model you use. Well-designed scaffolding unlocks better performance from smaller or less capable models. link

New Tools & Releases

• Context7 Skill Filtering: Reduced from 24k to 12k high-quality skills by filtering out duplicates, low-quality, and prompt-injection candidates using a specialized classifier. Demonstrates that more skills ≠ better performance. link

• Tendrill AI: Proactive agent for personal finance accessible via SMS/iMessage. Fetches realtime market data, sets up recurring tasks, alerts on stock movements with reasoning, and performs deep company analysis—all free during early access. link

• BaseScreenRecorder: Open-source, 100% local browser-based screen recording alternative to Screen Studio. Free, no signup required—built to solve the performance issues of proprietary screen recording tools. link

• Komand: Visual app builder with AI agents that can iterate and improve over 24+ hours. Deploy in 1-click and let the AI refine the UI automatically. link

Research & Papers

• TTT-Discover: Test-Time Training for Scientific Discovery: LLMs can adapt at inference time via reinforcement learning on specific test instances. Achieved SOTA on mathematics (Erdős minimum overlap), biology (single-cell denoising), and systems engineering (2× faster GPU kernels than human-optimized code). Uses modest compute (~$100s per run) with open models. link

• TeaRAG: 61% Token Reduction in Agentic RAG: Hybrid retrieval combining semantic chunks + knowledge triplets, with intelligent filtering using Personalized PageRank. Achieved 4% improvement with 59-61% fewer tokens on benchmark tasks. link

• GlobalRAG: Beyond Local to Corpus-Level Reasoning: Exposes blind spot in standard RAG for global queries ("highest avg years across all docs"). Document-level retrieval + LLM filtering + symbolic aggregation tools achieve 340% improvement (6.63 vs 1.51 F1). link

Industry News

• ByteDance Diffusion Code Model (83+ Human Eval): 83+ score on human evaluation, trained on 1T+ tokens, MIT licensed, and reportedly 100× faster than alternatives. Demonstrates diffusion models as viable code generation approach. link

• Anthropic Ships Before Microsoft 365 Copilot: ClawdBot's rapid growth and functionality (proactive outreach, persistent memory, ecosystem of skills) highlights how smaller, focused teams can outship larger organizations building enterprise integrations. link

--- *Curated from 1000+ tweets across AI/builder communities*