AI Reports
HTTP2Shell spreads across HTTP libraries
- AI payoff stays inside tech
- Cerebras serves trillion-parameter models
- banking apps start allowing GrapheneOS
Every day since May
164 days · none missedSpecial reports
15 reports · 7–38 min readsWhat the World's Best Websites Are Doing in the AI Era (2026)
Performance · Rendering architecture · Agent-readable web · WebMCP & ACP · Design systems as API · Design craft · Accessibility · 59 sources
The Knowledge Layer for Agents: Ontologies, Graphs and Where ML Fits
What the layer is · GraphRAG versus vector RAG · Accuracy on enterprise data · Operational ontologies and actions · Where ML goes · Graphs in root cause analysis
Context Lakes: What Multi-Agent Systems Need to Share
The definition · Why vectors and per-agent memory don't add up · What exists and what it measures · The failures shared context prevents · What is still open
AI-Native Design: Autonomy, Trust and the Limits of Chat
Guidelines and patterns · Choosing the level of autonomy · What builds appropriate trust · Chat against generated interfaces · What product teams report
Single-Agent vs. Multi-Agent LLM Systems: The Architectural Debate
21 papers analyzed · Debate, roles, and voting paradigms · MoE isomorphism · Cost-normalized benchmarks · Open problems
Agent Memory: What Works, What It Costs, What Breaks
Types of memory · Frameworks and their numbers · How memory is measured · Cost against long context · Poisoning and other failures
The Architecture of Frontier AI in 2026: Five Shifts
MoE is the default · Test-time compute is the new scaling axis · Efficient attention breaks the context ceiling · Speculative decoding ships in the weights · The frontier is contested across five labs
Building Agent Skills in 2026: Progressive Disclosure as a Design Pattern
What a Skill is · Skills vs. tools · The three-tier disclosure model · How to author one · The context-tax discipline · Security
SRE in 2026: The AI Teammate, the Stack, and the Governance Line
AI SRE agents hit GA · The incident loop, automated · Where autonomy stops · The OpenTelemetry-native stack · Open source vs. enterprise
Can Agents Run a Business? What the Evidence Shows
Agents given a business to run · Results in support and operations · How business agents are built · Reliability over long horizons · Why projects fail
ArXiv CS.AI Trend Report — 6 Signals From 3,862 Papers (May–Jun 2026)
ArXiv CS.AI trend analysis · May–Jun 2026 · Cluster mapping · Emerging vs established · What matters for builders
Automated Design of Agentic Systems & Multi-Agent Algorithms: State of the Art 2025-2026
ADAS, Meta Agent Search, LLM-MAS Orchestration & Production Deployment
Enterprise AI Agent Security — Deep Research Report
OpenShell, NemoClaw, Hermes Agent, and the new runtime security layer for autonomous agents
What AI Startups Stole From Palantir's Playbook
Forward Deployed Engineers · Ontological/Semantic Layers · Agentic Orchestration on Enterprise Legacy Systems · Market Map 2025-2026
AI Adoption in Engineering Teams: What the Evidence Says
Controlled studies of productivity · How to measure it · Code quality and security · How teams and roles change · Governance and adoption