DailyUpdated 2026-09-19 12:21 UTC
Every area we track.
Frontier watches these areas of AI engineering every day, scores what happens in each, and explains what matters.
- Agents & orchestration — Agent architectures, multi-agent orchestration, planning loops, tool use, harnesses1 articles · 18 signals
- Agentic coding — AI coding agents, spec-driven development, repo intelligence, verification of AI-written code0 articles · 9 signals
- Models & training — New frontier and open models, architectures, training, fine-tuning, reasoning0 articles · 18 signals
- Context & memory — Context engineering, retrieval, long-horizon memory, knowledge for agents0 articles · 6 signals
- Infra & inference — Serving, inference optimisation, GPUs, routing, cost and latency engineering0 articles · 10 signals
- Evals & reliability — Evaluation, benchmarks, observability, guardrails, reliability of agentic systems0 articles · 8 signals
- Protocols & interop — MCP, agent protocols, tool standards, interoperability between systems0 articles · 3 signals
- Products & usage — How teams actually ship and use AI products, workflows, adoption0 articles · 10 signals
- Research — Papers and results that change what is possible0 articles · 31 signals
- Safety & policy — Safety, alignment, regulation, security of AI systems0 articles · 7 signals