Topic hubs
Topics
Every theme New Runtime tracks, grouped by area. Each topic page gathers the field notes, signals, analysis and public sources on it.
/topics.jsonOpen JSON indexLast 14 days
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Topic hubs with the most signals, analysis and field notes published in the last 14 days.
- Claude261 new
- Google175 new
- Anthropic174 new
- Models172 new
- Agents101 new
- Claude Code89 new
- Coding agents86 new
- Gemini77 new
- GitHub77 new
- Codex75 new
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The topics we cover most
Coding agents are becoming operational workers inside software teams, not just better code completion.
Latest A Software Factory Connects Agents Through Verified OutcomesAgent runtimeThe agent runtime is the system that lets models safely use tools, files, browsers, terminals, and external services.
Latest Loop Engineering Needs State Pruning, Not Infinite ChatAgent evalsAgent evals need to measure behavior in a workflow, not only answer quality in a prompt.
Latest When Proof Leaves the ExecutorAgent memoryAgent memory is not only retrieval; it is a governed write loop that decides what survives a task.
Latest ABBEL Treats Memory as an Explicit Belief StateAgent skillsAgent skills package repeatable behavior outside the current chat.
Latest Dr. Skill Audits What An Agent Loads Before It WorksContext engineeringContext engineering is the work of turning scattered organizational knowledge into durable inputs an agent can inspect and act on.
Latest A Vector Store Is Not An Agent Memory SystemBy area
All topics, grouped
How agents work 22
Runtimes, harnesses, memory, tools and the loops that keep an agent on task.
- Agents278
- Agent harness121
- Agent runtime109
- Agent tools96
- Agent memory92
- Agent skills91
- Context engineering81
- Computer use57
- Orchestration35
- Automation31
- Agent loops29
- Sandbox29
- Agent context17
- Workflows15
- Tools11
- Multi-agent9
- Tool use8
- Harness engineering7
- Memory6
- Loop engineering6
- Long-running agents5
- Agent workflows5
Protocols and interfaces 11
How agents talk to tools, to each other and to people: MCP, APIs, identity, generated UI.
Coding 7
Coding agents and the developer tooling around them.
Models and labs 13
Frontier and open models, routing between them, and the labs that ship them.
Evals, safety and operations 10
Proving that agents work and keeping them safe once they run.
Infrastructure and cost 7
Inference, compute and what running AI actually costs.
Business and work 9
Adoption inside companies, how teams change, and the business models around AI.
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- Agent context17
- Agent economics24
- Agent evals100
- Agent harness121
- Agent identity6
- Agent interfaces82
- Agent loops29
- Agent memory92
- Agent observability6
- Agent ops8
- Agent protocols98
- Agent runtime109
- Agent security32
- Agent skills91
- Agent tools96
- Agent workflows5
- Agents278
- AI69
- AI adoption73
- AI business models6
- AI infrastructure14
- AI security8
- Anthropic5
- API design29
- Automation31
- Claude7
- Claude Code8
- Code review7
- Codex12
- Coding agents198
- Compute14
- Computer use57
- Context engineering81
- Design systems22
- Developer tools23
- Engineering management6
- Enterprise agents7
- Enterprise AI19
- Frontend18
- Future of work50
- Gemini6
- Generative media16
- Generative UI70
- GitHub13
- Google8
- Governance6
- Harness engineering7
- Hermes6
- Inference37
- Infrastructure10
- Interfaces66
- Interoperability76
- Knowledge work6
- Local models30
- Long-running agents5
- Loop engineering6
- MCP96
- Media infrastructure16
- Memory6
- Model routing59
- Models92
- Multi-agent9
- Multimodal16
- Observability41
- Open models9
- Open source7
- Orchestration35
- Org design52
- Personalization5
- Pricing11
- Prompt injection23
- Prompts5
- Retrieval40
- Sandbox29
- Security36
- Tool use8
- Tools11
- Verification53
- Workflows15
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GET /topics.json GET /topics/[slug].mdGET /topics/[slug].jsonall work and no play make Jack a dull boy