AI
standard
AI dev ecosystem & agent primitives (MCP, skills, agents, orchestration)
In roughly 18 months the AI-agent stack produced a set of durable, fast-standardizing developer primitives — MCP for connectivity, Agent Skills for portable expertise, subagents and orchestration apps for parallel work, and SDKs plus evals for governance — now backed by both major labs and a wave of well-funded startups.
What to watch next
Watch for consolidation around open standards (MCP and Skills now under foundation/shared governance), multi-agent 'post-IDE' orchestration workspaces becoming the default interface, and evals/agent governance maturing into a required production discipline.
Key sub-ideas & techniques
- Model Context Protocol (MCP) — An open standard giving AI assistants a universal two-way way to connect to external data and tools, replacing per-integration connectors with one protocol. [source]
- Agent Skills (Claude Skills / portable skills) — Modular folders (a SKILL.md plus scripts and resources) that agents discover and load on demand via progressive disclosure to specialize at tasks. [source]
- Subagents / multi-agent orchestration in coding agents — Specialized sub-agents that each run in their own context window with custom prompts, tools, and permissions, letting a primary agent delegate and preserve its main context. [source]
- Agent-orchestration desktop/cloud apps — Standalone workspaces to run and coordinate multiple coding agents in parallel across isolated git worktrees, then review and merge their work from one interface. [source]
- Agent SDKs / frameworks — Libraries and runtimes for building, orchestrating, and deploying multi-agent workflows programmatically. [source]
- Context engineering & evals / agent governance — An emerging discipline focused on curating what enters an agent's context window and on systematically evaluating, grading, and governing agent behavior for production reliability. [source]
- Agentic commerce via MCP + x402 — Exposing financial accounts and pay-per-use data/compute to LLM agents through an MCP server plus the x402 micropayment standard, letting agents transact autonomously within user-set limits. [source]
Current frontier
- MCP went from an Anthropic experiment (announced Nov 25, 2024) to a cross-industry standard; in Dec 2025 Anthropic donated MCP to the Agentic AI Foundation, a Linux Foundation directed fund co-founded with Block and OpenAI. [source]
- Anthropic launched Agent Skills on Oct 16, 2025 across Claude apps, Claude Code, the Agent SDK and the API, then on Dec 18, 2025 published Skills as an open cross-platform standard (agentskills.io). [source]
- OpenAI released the Responses API and open-source Agents SDK in March 2025, then at DevDay (Oct 6, 2025) launched AgentKit — Agent Builder, ChatKit, Connector Registry and expanded Evals — to move agents from prototype to production. [source]
- Conductor, the parallel coding-agent desktop app (YC S24), reports use at companies including Linear, Vercel, Notion and Stripe and announced a Series A on Mar 30, 2026. [source]
- LangChain, maker of the LangGraph agent-orchestration runtime, reached unicorn status with a $125M Series B at a $1.25B valuation in Oct 2025, led by IVP with CapitalG and Sapphire Ventures. [source]
Key people
- David Soria Parra Member of Technical Staff; co-creator of the Model Context Protocol (MCP) · Anthropic [source]
- Justin Spahr-Summers Engineer; co-creator of the Model Context Protocol (MCP) · Anthropic [source]
- Charlie Holtz Co-founder & CEO of Conductor (parallel coding-agent orchestration app); previously growth at Replicate · Conductor (Melty Labs), YC S24 [source]
- Jackson de Campos Co-founder of Conductor; 'the human interface to AI organizations' · Conductor (Melty Labs), YC S24 [source]
- Harrison Chase Founder & CEO of LangChain; creator of LangChain framework and the LangGraph agent-orchestration runtime · LangChain [source]
- Amelia Wattenberger Product Lead for Intent (Augment Code agent-orchestration workspace); Partner, Sutter Hill Ventures; ex-GitHub Next · Augment Code / Sutter Hill Ventures [source]
Startups & labs to watch
- Conductor Conductor (Melty Labs) · STARTUP · YC Summer 2024; Series A announced Mar 30, 2026 (amount not confirmed in primary source) — Pioneer of the 'run a team of coding agents on your Mac' category; parallel agents in isolated worktrees, adopted at Linear, Vercel, Notion, Stripe. [source]
- Augment Code (Intent) Augment Code · STARTUP · Augment backed by ~$472M total (incl. Sutter Hill Ventures); Intent in public beta — Intent is a 'post-IDE' agent-orchestration workspace using coordinator/implementor/verifier agent teams over a shared living spec; bring-your-own-agent (Claude Code, Codex, OpenCode). [source]
- LangChain LangChain · STARTUP · $125M Series B at $1.25B valuation (Oct 2025), led by IVP — Most widely adopted open-source agent framework; LangGraph is a leading multi-agent orchestration/memory runtime and LangSmith leads agent evals/observability. [source]
- Transformer Lab Transformer Lab (lab.cloud) · STARTUP · Not disclosed (open-source platform; for-teams commercial tier) — Open-source MLOps/experimentation layer (compute orchestration, training, eval, quantization) with a teams tier; a credible primary-source research shop on efficiency/quantization to track for the edge/efficiency lane. [source]