# Agentic-Engineering-Handbook

> Source: <https://github.com/keyuchen21/agentic-engineering-handbook>
> Published: 2026-06-13 02:35:51+00:00

| P0 |
[OpenAI for Developers in 2025](https://developers.openai.com/blog/openai-for-developers-2025) |
OpenAI |
Agents; MCP; Platform |
Annual overview: systematic walkthrough of Responses API, Agents SDK, AgentKit, Codex, MCP, Apps SDK, and AGENTS.md. |
2025-12-30 |
| P0 |
[New tools for building agents](https://openai.com/index/new-tools-for-building-agents/) |
OpenAI |
Agents; Responses API; Tools |
Key starting point for OpenAI's agent platform: Responses API, built-in web/file/computer tools, Agents SDK, tracing/observability. |
2025-03-11 |
| P0 |
[Introducing AgentKit](https://openai.com/index/introducing-agentkit/) |
OpenAI |
Agents; Evals; AgentKit |
AgentKit, expanded evals, agent RFT: the official agent toolchain from prototype to production. |
2025-10-06 |
| P0 |
[Agents SDK overview](https://developers.openai.com/api/docs/guides/agents) |
OpenAI |
Agents; SDK |
Official SDK entry point: concepts and boundaries of agent, tool, handoff, guardrail, and tracing. |
Current docs |
| P0 |
[Orchestrating Agents: Routines and Handoffs](https://developers.openai.com/cookbook/examples/orchestrating_agents) |
OpenAI |
Agents; Handoffs; Orchestration |
Classic introduction: how routines, handoffs, and tool calling combine into controllable multi-flow agents. |
2024-10-10 |
| P0 |
[Introducing the Model Context Protocol](https://www.anthropic.com/news/model-context-protocol) |
Anthropic |
MCP; Standards |
The origin article for MCP: an open standard connecting AI assistants to data, tools, and systems. |
2024-11-25 |
| P0 |
[Building effective agents](https://www.anthropic.com/engineering/building-effective-agents) |
Anthropic |
Agents; Patterns; Frameworks |
Essential agent primer: workflow vs agent, prompt/tool/retrieval, orchestrator-worker, evaluator-optimizer patterns. |
2024-12-19 |
| P0 |
[New tools and features in the Responses API](https://openai.com/index/new-tools-and-features-in-the-responses-api/) |
OpenAI |
MCP; Responses API; Tools |
Responses API extended to remote MCP servers, image/code/file tools; see how OpenAI integrates MCP into its runtime. |
2025-05-21 |
| P0 |
[MCP and Connectors](https://developers.openai.com/api/docs/guides/tools-connectors-mcp) |
OpenAI |
MCP; Connectors; Responses API |
Official guide to connecting remote MCP servers and connectors; includes approvals and security considerations. |
Current docs |
| P0 |
[Building MCP servers for ChatGPT Apps and API integrations](https://developers.openai.com/api/docs/mcp) |
OpenAI |
MCP; ChatGPT Apps; API |
Official guide to writing MCP servers: supply tools/knowledge to ChatGPT Apps, deep research, and API integrations. |
Current docs |
| P0 |
[Building a Deep Research MCP Server](https://developers.openai.com/cookbook/examples/deep_research_api/how_to_build_a_deep_research_mcp_server/readme) |
OpenAI |
MCP; Deep research |
Minimal implementation of a search/fetch MCP server for Deep Research. |
2025-06-25 |
| P0 |
[Model Context Protocol - Codex](https://developers.openai.com/codex/mcp) |
OpenAI |
MCP; Codex |
How Codex CLI/IDE connects to MCP servers, adding Figma, browser, docs, and internal tool context to agents. |
Current docs |
| P0 |
[Introducing Codex](https://openai.com/index/introducing-codex/) |
OpenAI |
Agents; Coding; Sandbox |
Cloud-based software engineering agent: parallel tasks, repo sandbox, running tests/linters/type checkers, producing auditable evidence. |
2025-05-16 |
| P0 |
[Unrolling the Codex agent loop](https://openai.com/index/unrolling-the-codex-agent-loop/) |
OpenAI |
Harness; Agent loop; Codex |
How Codex CLI chains prompt, tool schema, MCP tools, Responses API, and context management into an agent loop. |
2026-01-23 |
| P0 |
[Unlocking the Codex harness: how we built the App Server](https://openai.com/index/unlocking-the-codex-harness/) |
OpenAI |
Harness; Codex App Server; JSON-RPC |
Core harness article: Codex core, App Server, JSON-RPC, streaming progress, approval, diff, and thread management. |
2026-02-04 |
| P0 |
[From model to agent: Equipping the Responses API with a computer environment](https://openai.com/index/equip-responses-api-computer-environment/) |
OpenAI |
Harness; Responses API; Sandbox |
Responses API + shell tool + hosted containers form the agent runtime; essential for understanding the model-to-agent execution environment. |
2026-03-10 |
| P0 |
[Harness engineering: leveraging Codex in an agent-first world](https://openai.com/index/harness-engineering/) |
OpenAI |
Harness; Agent-first engineering |
Design product code, tests, CI, docs, and observability to be agent-readable/executable; learn agent-first repo organization. |
2026-02-11 |
| P0 |
[The next evolution of the Agents SDK](https://openai.com/index/the-next-evolution-of-the-agents-sdk/) |
OpenAI |
Harness; Agents SDK; MCP; Skills |
Agents SDK harness becomes more complete: memory, sandbox orchestration, Codex-like filesystem tools, MCP, skills, AGENTS.md. |
2026-04-15 |
| P0 |
[Building Consistent Workflows with Codex CLI & Agents SDK](https://developers.openai.com/cookbook/examples/codex/codex_mcp_agents_sdk/building_consistent_workflows_codex_cli_agents_sdk) |
OpenAI |
MCP; Codex; Agents SDK |
Codex CLI as an MCP server integrated with Agents SDK; real multi-agent dev workflow. |
2025-10-01 |
| P0 |
[Building Reliable Agents with Memory and Compaction](https://developers.openai.com/cookbook/examples/agents_sdk/building_reliable_agents_memory_compaction) |
OpenAI |
Memory; Compaction; Reliability |
Memory and compaction design for long-context/multi-turn agents. |
2026-05-01 |
| P0 |
[Build an Agent Improvement Loop with Traces, Evals, and Codex](https://developers.openai.com/cookbook/examples/agents_sdk/agent_improvement_loop) |
OpenAI |
Evals; Traces; Self-improvement |
Connect traces, evals, and Codex fixes into an agent improvement loop. |
2026-05-12 |
| P0 |
[Eval Driven System Design - From Prototype to Production](https://developers.openai.com/cookbook/topic/evals) |
OpenAI |
Evals; Production |
Use evals as the driving force for system design; ideal for moving agents from demo to production. |
2025-06-02 |
| P0 |
[Testing Agent Skills Systematically with Evals](https://developers.openai.com/blog/eval-skills) |
OpenAI |
Evals; Skills; Agents |
Systematically test agent skills with evals; establish quality gates before skill release. |
2026-01-22 |
| P0 |
[Evals API Use-case - MCP Evaluation](https://developers.openai.com/cookbook/examples/evaluation/use-cases/mcp_eval_notebook) |
OpenAI |
MCP; Evals |
Evaluate QA/retrieval capabilities with MCP tools; ideal for building an MCP regression suite. |
2025-06-09 |
| P0 |
[Running Codex safely at OpenAI](https://openai.com/index/running-codex-safely/) |
OpenAI |
Safety; Sandbox; Codex |
How OpenAI runs Codex internally: sandbox, approvals, network policy, agent-native telemetry. |
2026-05-20 |
| P0 |
[Building Governed AI Agents - A Practical Guide to Agentic Scaffolding](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Governance; Guardrails; Agents |
Governed agent scaffolding: permissions, guardrails, auditing, and organizational policies. |
2026-02-23 |
| P0 |
[Macro Evals for Agentic Systems](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Evals; Agentic systems |
Evaluate agents at the end-to-end/macro level, not just individual step outputs. |
2026-05-19 |
| P0 |
[Best practices for Claude Code](https://www.anthropic.com/engineering/claude-code-best-practices) |
Anthropic |
Coding agents; Claude Code |
Claude Code methodology: verification loop, explore-plan-code, CLAUDE.md, permissions, MCP, subagents, context management. |
2025-04-18 |
| P0 |
[How we built our multi-agent research system](https://www.anthropic.com/engineering/multi-agent-research-system) |
Anthropic |
Agents; Multi-agent; Research |
Claude Research multi-agent architecture: planner + parallel research agents + synthesis; production multi-agent experience. |
2025-06-13 |
| P0 |
[Writing effective tools for AI agents - with AI agents](https://www.anthropic.com/engineering/writing-tools-for-agents) |
Anthropic |
Tools; MCP; Evals |
Tool quality determines agent quality: tool descriptions, context budget, eval, and letting Claude optimize its own tools. |
2025-09-11 |
| P0 |
[Effective context engineering for AI agents](https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents) |
Anthropic |
Context; Agents |
Context is the agent's core resource: selection, compression, isolation, persistence, and context pollution control. |
2025-09-29 |
| P0 |
[Enabling Claude Code to work more autonomously](https://www.anthropic.com/news/enabling-claude-code-to-work-more-autonomously) |
Anthropic |
Claude Code; Agent SDK; Subagents |
Claude Agent SDK, subagents, hooks, background tasks, checkpoints, and other autonomous coding agent capabilities. |
2025-09-29 |
| P0 |
[Equipping agents for the real world with Agent Skills](https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills) |
Anthropic |
Skills; Agents |
Agent Skills as modular capability packages: instructions, resources, scripts — reducing context burden and improving reliability. |
2025-10-16 |
| P0 |
[Code execution with MCP: Building more efficient agents](https://www.anthropic.com/engineering/code-execution-with-mcp) |
Anthropic |
MCP; Code execution; Context |
Key article on MCP scale challenges: reduce token overhead with code execution/on-demand tools; learn progressive disclosure. |
2025-11-04 |
| P0 |
[Introducing advanced tool use on Claude Developer Platform](https://www.anthropic.com/engineering/advanced-tool-use) |
Anthropic |
Tools; MCP; Advanced tool use |
Tool search, deferred loading, programmatic tool calling; solving context pollution from large numbers of MCP tools. |
2025-11-24 |
| P0 |
[Effective harnesses for long-running agents](https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents) |
Anthropic |
Harness; Long-running agents |
Essential harness reading: working across multiple context windows, task logging, external state, agent self-recovery. |
2025-11-26 |
| P0 |
[Demystifying evals for AI agents](https://www.anthropic.com/engineering/demystifying-evals-for-ai-agents) |
Anthropic |
Evals; Agents |
Agent evals are more complex than static evals: multi-turn, tools, state changes, creative solutions, failure taxonomy. |
2026-01-09 |
| P0 |
[Measuring AI agent autonomy in practice](https://www.anthropic.com/news/measuring-agent-autonomy) |
Anthropic |
Agents; Autonomy; Measurement |
Quantify agent autonomy using metrics like task duration and supervision needs; ideal for building autonomy benchmarks. |
2026-02-18 |
| P0 |
[Harness design for long-running application development](https://www.anthropic.com/engineering/harness-design-long-running-apps) |
Anthropic |
Harness; Application development |
Harness design patterns for delegating long-running app development tasks to agents; compare with OpenAI Codex harness. |
2026-03-24 |
| P0 |
[Scaling Managed Agents: Decoupling the brain from the hands](https://www.anthropic.com/engineering/managed-agents) |
Anthropic |
Managed agents; Harness |
Decouple the model brain from execution hands/harness, keeping interfaces stable as the harness evolves. |
2026-04-08 |
| P0 |
[How we contain Claude across products](https://www.anthropic.com/engineering/how-we-contain-claude) |
Anthropic |
Safety; Containment; Agents |
Blast radius of powerful agent releases, human-in-the-loop, and containment strategies. |
2026-05-25 |
| P1 |
[Structured Outputs for Multi-Agent Systems](https://developers.openai.com/cookbook/examples/structured_outputs_multi_agent) |
OpenAI |
Agents; Multi-agent; Structured outputs |
Use strict schemas to constrain structured messages and handoffs between multiple agents. |
2024-08-06 |
| P1 |
[Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku](https://www.anthropic.com/news/3-5-models-and-computer-use) |
Anthropic |
Agents; Computer use |
Claude computer use beta starting point: the model uses a computer via screenshots and actions. |
2024-10-22 |
| P1 |
[Raising the bar on SWE-bench Verified with Claude 3.5 Sonnet](https://www.anthropic.com/engineering/swe-bench-sonnet) |
Anthropic |
Agents; Coding; Evals |
SWE-bench agent scaffolding article: same model performance strongly depends on harness/scaffolding. |
2025-01-06 |
| P1 |
[Introducing Operator](https://openai.com/index/introducing-operator/) |
OpenAI |
Agents; Computer use; Safety |
Early product form of browser-based agents: model clicks, types, and executes tasks on web pages, emphasizing user confirmation and safety boundaries. |
2025-01-23 |
| P1 |
[Computer-Using Agent](https://openai.com/index/computer-using-agent/) |
OpenAI |
Agents; Computer use |
Understand how CUA combines vision, mouse/keyboard actions, and environment feedback into an agent loop; compare with Claude computer use. |
2025-01-23 |
| P1 |
[Claude 3.7 Sonnet and Claude Code](https://www.anthropic.com/news/claude-3-7-sonnet) |
Anthropic |
Agents; Coding; Claude Code |
Early release of Claude Code, marking Claude's entry into the agentic coding tool space. |
2025-02-24 |
| P1 |
[The think tool: Enabling Claude to stop and think in complex tool use situations](https://www.anthropic.com/engineering/claude-think-tool) |
Anthropic |
Tools; Reasoning; Agents |
Give the model an explicit think tool in complex tool-use chains; learn tool design for policy-heavy/multi-step decisions. |
2025-03-20 |
| P1 |
[Evaluating Agents with Langfuse](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Evals; Agents |
Observe and evaluate Agents SDK runs with Langfuse; learn tracing/eval workflows. |
2025-03-31 |
| P1 |
[Parallel Agents with the OpenAI Agents SDK](https://developers.openai.com/cookbook/examples/agents_sdk/parallel_agents) |
OpenAI |
Agents; Parallelism; Agents SDK |
Parallel agent patterns: decompose tasks, execute in parallel, aggregate results. |
2025-05-01 |
| P1 |
[Multi-Agent Portfolio Collaboration with OpenAI Agents SDK](https://developers.openai.com/cookbook/examples/agents_sdk/multi-agent-portfolio-collaboration/multi_agent_portfolio_collaboration) |
OpenAI |
Agents; Multi-agent; Portfolio |
Multi-agent collaboration business example: research, analysis, combined output. |
2025-05-28 |
| P1 |
[MCP-Powered Agentic Voice Framework](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
MCP; Voice; Agents |
Voice agent + MCP paradigm: real-time interaction, tool extension, task execution. |
2025-06-17 |
| P1 |
[Deep Research API with the Agents SDK](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Agents; Deep research; Agents SDK |
Integrate Deep Research API into Agents SDK workflows. |
2025-06-25 |
| P1 |
[Desktop Extensions: One-click MCP server installation for Claude Desktop](https://www.anthropic.com/engineering/desktop-extensions) |
Anthropic |
MCP; Claude Desktop; Packaging |
Package local MCP servers as one-click install extensions; learn MCP distribution/installation/local permission issues. |
2025-06-26 |
| P1 |
[Building a Supply-Chain Copilot with OpenAI Agent SDK and Databricks MCP Servers](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
MCP; Agents; Databricks |
Enterprise data platform MCP + Agent SDK business agent example. |
2025-07-08 |
| P1 |
[Introducing ChatGPT agent: bridging research and action](https://openai.com/index/introducing-chatgpt-agent/) |
OpenAI |
Agents; ChatGPT; Computer use |
End-user-facing ChatGPT agent: combining research, browser, computer use, file/slide capabilities. |
2025-07-17 |
| P1 |
[ChatGPT agent System Card](https://openai.com/index/chatgpt-agent-system-card/) |
OpenAI |
Agents; Safety; Evals |
Learn pre-launch risk classification, evaluation, permissions, human confirmation, and abuse prevention for agent products. |
2025-07-17 |
| P1 |
[Context Engineering - Short-Term Memory Management with Sessions](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Context; Sessions; Agents |
How short-term memory/session state affects agent reliability. |
2025-09-09 |
| P1 |
[Introducing upgrades to Codex](https://openai.com/index/introducing-upgrades-to-codex/) |
OpenAI |
Agents; Coding; IDE |
Codex evolves from research preview to daily dev tool: CLI, IDE, web/mobile collaboration, and more independent task execution. |
2025-09-15 |
| P1 |
[Introducing Claude Sonnet 4.5](https://www.anthropic.com/news/claude-sonnet-4-5) |
Anthropic |
Agents; Claude Agent SDK; Computer use |
Sonnet 4.5 emphasizes coding, complex agents, computer use, with simultaneous Agent SDK launch. |
2025-09-29 |
| P1 |
[Introducing apps in ChatGPT and the new Apps SDK](https://openai.com/index/introducing-apps-in-chatgpt/) |
OpenAI |
MCP; Apps; ChatGPT |
Apps SDK extends UI and tool server via MCP; entry point for understanding the ChatGPT app / MCP app ecosystem. |
2025-10-06 |
| P1 |
[Codex is now generally available](https://openai.com/index/codex-now-generally-available/) |
OpenAI |
Agents; Coding; Codex SDK |
Codex GA, Slack integration, Codex SDK, admin tools; see how coding agents enter enterprise management. |
2025-10-06 |
| P1 |
[Using PLANS.md for multi-hour problem solving](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Codex; Long-running; Planning |
Plan files and cross-context task management for long-running coding agents. |
2025-10-07 |
| P1 |
[Beyond permission prompts: making Claude Code more secure and autonomous](https://www.anthropic.com/engineering/beyond-permission-prompts) |
Anthropic |
Safety; Permissions; Claude Code |
From simple permission prompts to fine-grained security policies, reducing autonomous mode risk and interruptions. |
2025-10-20 |
| P1 |
[Introducing Aardvark: OpenAI's agentic security researcher](https://openai.com/index/introducing-aardvark/) |
OpenAI |
Agents; Security |
Security-domain agent form: continuous scanning, issue verification, fix suggestions; later integrated as Codex Security. |
2025-10-30 |
| P1 |
[Build a coding agent with GPT 5.1](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Agents; Coding |
Build a coding agent from scratch: understand file editing, command execution, loops, and verification. |
2025-11-13 |
| P1 |
[OpenAI co-founds Agentic AI Foundation](https://openai.com/index/agentic-ai-foundation/) |
OpenAI |
MCP; Standards; AGENTS.md |
MCP, AGENTS.md, and agent standards enter the Linux Foundation/AAIF context; understand ecosystem standardization. |
2025-12-09 |
| P1 |
[Donating MCP and establishing the Agentic AI Foundation](https://www.anthropic.com/news/donating-the-model-context-protocol-and-establishing-of-the-agentic-ai-foundation) |
Anthropic |
MCP; Standards; AAIF |
Anthropic donates MCP to Linux Foundation/AAIF; read alongside OpenAI's AAIF article. |
2025-12-09 |
| P1 |
[Context Engineering for Personalization - Long-Term Memory Notes](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Context; Long-term memory; Agents |
How long-term memory serves as agent personalization/state management. |
2026-01-05 |
| P1 |
[Supercharging Codex with JetBrains MCP at Skyscanner](https://developers.openai.com/blog/skyscanner-codex-jetbrains-mcp) |
OpenAI |
MCP; Codex; IDE |
Real IDE/MCP case study: how Codex CLI accesses IDE context and dev tools via JetBrains MCP. |
2026-01-11 |
| P1 |
[Designing AI-resistant technical evaluations](https://www.anthropic.com/engineering/AI-resistant-technical-evaluations) |
Anthropic |
Evals; Technical hiring |
How strong agents continuously break technical evaluations; relevant to benchmark contamination prevention and eval design. |
2026-01-21 |
| P1 |
[Inside OpenAI's in-house data agent](https://openai.com/index/inside-our-in-house-data-agent/) |
OpenAI |
Agents; Data; Memory |
Internal data agent case study: memory, Codex, data context, reliability; learn enterprise knowledge/data agents. |
2026-01-29 |
| P1 |
[Introducing the Codex app](https://openai.com/index/introducing-the-codex-app/) |
OpenAI |
Agents; Coding; Multi-agent |
Desktop command center for agents: multi-threaded/parallel long tasks, project-level agent workflows. |
2026-02-02 |
| P1 |
[Apple's Xcode now supports Claude Agent SDK](https://www.anthropic.com/news/apple-xcode-claude-agent-sdk) |
Anthropic |
Claude Agent SDK; Xcode; MCP |
Embed Claude Agent SDK in Xcode: harness, subagents, background tasks, plugins, MCP. |
2026-02-03 |
| P1 |
[Quantifying infrastructure noise in agentic coding evals](https://www.anthropic.com/engineering/infrastructure-noise) |
Anthropic |
Evals; Coding agents; Infrastructure |
Environment configuration significantly impacts scores in agentic coding evals; control infrastructure noise in both production and benchmarks. |
2026-02-05 |
| P1 |
[Building a C compiler with a team of parallel Claudes](https://www.anthropic.com/engineering/building-c-compiler) |
Anthropic |
Multi-agent; Coding; Long-running |
Parallel Claude teams completing large engineering tasks; learn multi-agent division of labor, coordination, and long-running execution. |
2026-02-05 |
| P1 |
[Codex Security: now in research preview](https://openai.com/index/codex-security-now-in-research-preview/) |
OpenAI |
Agents; Security; Codex |
Productization of an agentic security researcher: vulnerability discovery, verification, fix suggestions, reducing triage noise. |
2026-03-06 |
| P1 |
[Eval awareness in Claude Opus 4.6's BrowseComp performance](https://www.anthropic.com/engineering) |
Anthropic |
Evals; Agent awareness |
Risk of models recognizing/adapting to evaluations; relevant to agent benchmark credibility discussions. |
2026-03-06 |
| P1 |
[How we built Claude Code auto mode: a safer way to skip permissions](https://www.anthropic.com/engineering/claude-code-auto-mode) |
Anthropic |
Safety; Permissions; Autonomy |
Claude Code auto mode risk classification, allow/block rules, exception handling, and security testing. |
2026-03-25 |
| P1 |
[Migrate a Legacy Codebase with Sandbox Agents](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Agents; Sandbox; Evals |
Sandbox agent evaluation and execution patterns in large legacy code migrations. |
2026-04-07 |
| P1 |
[Codex for (almost) everything](https://openai.com/index/codex-for-almost-everything/) |
OpenAI |
Agents; Codex; MCP; Plugins |
Codex app expanded to Windows/macOS, computer use, in-app browser, memory, plugins, MCP servers. |
2026-04-16 |
| P1 |
[Computer Use Agents in Daytona Sandboxes](https://developers.openai.com/cookbook/examples/agents_sdk/computer_use_with_daytona/computer_use_with_daytona) |
OpenAI |
Computer use; Sandbox; Agents |
Computer-use agents and sandbox runtimes; compare with Operator/CUA/Claude computer use. |
2026-04-19 |
| P1 |
[Introducing workspace agents in ChatGPT](https://openai.com/index/introducing-workspace-agents-in-chatgpt/) |
OpenAI |
Agents; Workspace; Governance |
Workspace agents: shared agents, permissions, tools, memory, safeguards; ideal for team collaboration agent design. |
2026-04-22 |
| P1 |
[Building workspace agents in ChatGPT to complete repeatable, end-to-end work](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Workspace agents; ChatGPT |
Practical workspace agents for repeatable end-to-end team workflows. |
2026-04-22 |
| P1 |
[Speeding up agentic workflows with WebSockets in the Responses API](https://openai.com/index/speeding-up-agentic-workflows-with-websockets/) |
OpenAI |
Agents; Latency; Responses API |
Optimize latency by treating agentic rollouts as long-lived connections/tasks; learn production agent transport and caching. |
2026-05-01 |
| P1 |
[Agents for financial services](https://www.anthropic.com/news/finance-agents) |
Anthropic |
Agents; Finance; MCP |
Ten ready-to-run agent templates, Claude Code/Cowork plugins, Managed Agents cookbooks, MCP app. |
2026-05-05 |
| P1 |
[Migrate from the Claude Agent SDK to the OpenAI Agents SDK](https://developers.openai.com/cookbook/examples/agents_sdk/migrate-from-claude-agent-sdk/readme) |
OpenAI |
Agents SDK; Migration |
Compare Claude Agent SDK and OpenAI Agents SDK from a migration perspective; ideal for dual-stack learning. |
2026-05-07 |
| P1 |
[Building a safe, effective sandbox to enable Codex on Windows](https://openai.com/index/building-codex-windows-sandbox/) |
OpenAI |
Safety; Sandbox; Codex |
Coding agent sandbox design on Windows: file access, network restrictions, approval tradeoffs. |
2026-05-13 |
| P1 |
[Building self-improving tax agents with Codex](https://openai.com/index/building-self-improving-tax-agents-with-codex/) |
OpenAI |
Agents; Evals; Self-improvement |
Combine production traces, expert feedback, Codex loop, and eval infrastructure into self-improving business agents. |
2026-05-27 |
| P1 |
[SchemaFlow: Agentic Database Change Impact Analysis, SQL Generation, and Eval Guardrails](https://developers.openai.com/cookbook/topic/agents) |
OpenAI |
Evals; SQL; Agent guardrails |
Guardrails and eval guardrails examples for data/SQL agents. |
2026-06-05 |
| P1 |
[Agents SDK quickstart](https://developers.openai.com/api/docs/guides/agents/quickstart) |
OpenAI |
Agents; SDK |
Quickly build a minimal agent; understand the code patterns of run, tool, and handoff. |
Current docs |
| P1 |
[MCP Apps compatibility in ChatGPT](https://developers.openai.com/apps-sdk/mcp-apps-in-chatgpt) |
OpenAI |
MCP; Apps SDK; UI |
Understand MCP Apps UI standards, iframe/bridge, and compatibility between ChatGPT and other hosts. |
Current docs |
| P1 |
[Use Codex with the Agents SDK](https://developers.openai.com/codex/guides/agents-sdk) |
OpenAI |
MCP; Codex; Agents SDK |
Use Codex as an MCP server for other agents to call; ideal for multi-agent dev workflows. |
Current docs |
| P1 |
[Agent approvals and security - Codex](https://developers.openai.com/codex/agent-approvals-security) |
OpenAI |
Safety; Approvals; Codex |
Official reference for Codex approval modes, sandbox, network access; read alongside OpenAI/Anthropic safety articles. |
Current docs |
| P1 |
[Agent Skills - Codex](https://developers.openai.com/codex/skills) |
OpenAI |
Codex; Skills; Plugins |
Skills/Plugins as reusable workflow packages; compare with Anthropic Agent Skills. |
Current docs |
| P1 |
[Custom instructions with AGENTS.md - Codex](https://developers.openai.com/codex/guides/agents-md) |
OpenAI |
AGENTS.md; Context |
How AGENTS.md provides persistent project specifications for agents; establish repo-level agent contracts. |
Current docs |
| P1 |
[Agents SDK integrations and observability](https://developers.openai.com/api/docs/guides/agents/integrations-observability) |
OpenAI |
Observability; MCP; Tracing |
Tracing, MCP integration, provider/observability; essential for production agent debugging. |
Current docs |
| P1 |
[Secure MCP Tunnel](https://developers.openai.com/api/docs/guides/secure-mcp-tunnels) |
OpenAI |
MCP; Security; Private tools |
Securely expose private/intranet MCP servers to supported OpenAI surfaces; ideal for enterprise deployment. |
Current docs |
| P1 |
[How Claude Code works](https://code.claude.com/docs/en/how-claude-code-works) |
Anthropic |
Claude Code; Agentic loop; Harness |
Under-the-hood architecture of Claude Code: the agentic loop (gather context → act → verify), built-in tool categories, context window management, and extension points. |
Current docs |
| P0 |
[learn-claude-code](https://github.com/shareAI-lab/learn-claude-code) |
Community |
Harness; Agent loop; Tools; Context |
Hands-on 20-lesson tutorial building a Claude Code–like agent harness from scratch: agent loop, tool integration, context compaction, multi-agent coordination, permissions, MCP plugins. |
2026 |
| P0 |
[Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems](https://arxiv.org/abs/2604.14228) |
Academic |
Agent architecture; Claude Code; Design space |
Deep technical analysis of Claude Code's architecture: agentic loop, permission system, context compaction, extensibility (MCP/plugins/skills/hooks), subagent delegation, and comparison with open-source alternatives. |
2026-04-14 |
| P0 |
[Function Calling](https://developers.openai.com/api/docs/guides/function-calling) |
OpenAI |
Tools; Function calling; API |
Official guide to function/tool calling: define functions with JSON schemas, handle model tool calls, execute and return results. |
Current docs |
| P0 |
[Tool use overview](https://platform.claude.com/docs/en/agents-and-tools/tool-use/overview) |
Anthropic |
Tools; Tool use; API |
Connect Claude to external tools and APIs: client vs server tools, the agentic loop, strict schema conformance, and when Claude decides to call tools. |
Current docs |
| P0 |
[Function calling - Gemini API](https://ai.google.dev/gemini-api/docs/function-calling) |
Google |
Tools; Function calling; API |
Enable Gemini models to connect with external tools via function calling: single-turn, multi-turn, parallel, and sequential function chains. |
Current docs |
| P2 |
[Introducing Contextual Retrieval](https://www.anthropic.com/news/contextual-retrieval) |
Anthropic |
Context; Retrieval; RAG |
Not agent-specific, but important for agent RAG/context: prepend context to chunks before retrieval to improve recall. |
2024-09-19 |
| P2 |
[Developing a computer use model](https://www.anthropic.com/news/developing-computer-use) |
Anthropic |
Computer use; Agents |
More technical explanation of how the computer-use model moves the mouse, clicks, types, and reads screen feedback. |
2024-10-22 |
| P2 |
[Introducing Claude 4](https://www.anthropic.com/news/claude-4) |
Anthropic |
Agents; Coding; Long-running |
Overview of Claude Opus/Sonnet 4 capabilities: coding, advanced reasoning, agent workflows. |
2025-05-22 |
| P2 |
[Claude for Financial Services](https://www.anthropic.com/news/claude-for-financial-services) |
Anthropic |
Agents; Connectors; Finance |
Vertical industry agent/connector productization case; understand data, permissions, and tool integration in finance. |
2025-07-15 |
| P2 |
[Advancing Claude for Financial Services](https://www.anthropic.com/news/advancing-claude-for-financial-services) |
Anthropic |
Agents; Skills; Finance |
Claude for Excel, real-time data connectors, pre-built Agent Skills for vertical industry productization. |
2025-10-27 |
| P2 |
[Introducing GPT-5.3-Codex](https://openai.com/index/introducing-gpt-5-3-codex/) |
OpenAI |
Agents; Coding model; Evals |
Codex-native model and long-running coding/terminal/agentic benchmarks; understand how model capabilities serve the harness. |
2026-02-05 |
| P2 |
[Introducing OpenAI Frontier](https://openai.com/index/introducing-openai-frontier/) |
OpenAI |
Agents; Enterprise; Governance |
Enterprise AI coworker/agent platform: shared context, onboarding, permissions, guardrails, governance. |
2026-02-10 |
| P2 |
[Introducing Claude Sonnet 4.6](https://www.anthropic.com/news/claude-sonnet-4-6) |
Anthropic |
Agents; Planning; Computer use |
Sonnet 4.6 emphasizes coding, computer use, long-context reasoning, agent planning. |
2026-02-17 |
| P2 |
[Introducing Claude Opus 4.6](https://www.anthropic.com/news/claude-opus-4-6) |
Anthropic |
Agents; Long-running; Tool use |
Model release perspective on long-running tasks, agentic harness, subagents, and tool call capabilities. |
2026-02-25 |
| P2 |
[Introducing Claude Opus 4.7](https://www.anthropic.com/news/claude-opus-4-7) |
Anthropic |
Agents; Long-running; Coding |
Stronger software engineering and long-running task performance; track how model capabilities impact agent workloads. |
2026-04-16 |
| P2 |
[An update on recent Claude Code quality reports](https://www.anthropic.com/engineering/april-23-postmortem) |
Anthropic |
Reliability; Claude Code; Agent SDK |
Postmortem on Claude Code/Agent SDK quality regression; learn agent product operations and regression control. |
2026-04-23 |
| P2 |
[Introducing Claude Opus 4.8](https://www.anthropic.com/news/claude-opus-4-8) |
Anthropic |
Agents; Dynamic workflows; Long-running |
Dynamic workflows, hundreds of parallel subagents, long-running agentic tasks — latest model/product direction. |
2026-05-28 |
| P2 |
[Codex for every role, tool, and workflow](https://openai.com/index/codex-for-every-role-tool-workflow/) |
OpenAI |
Agents; Codex; Plugins |
Codex expands from development to knowledge work: role-specific plugins, Sites, annotations, parallel workflows. |
2026-06-02 |
| P2 |
[Codex is becoming a productivity tool for everyone](https://openai.com/index/codex-for-knowledge-work/) |
OpenAI |
Agents; Knowledge work |
Usage data shows how non-developers use Codex for reports, spreadsheets, research, automation, and lightweight tools. |
2026-06-02 |
| P2 |
[OpenAI Docs MCP](https://developers.openai.com/learn/docs-mcp) |
OpenAI |
MCP; Docs; Context |
Official OpenAI docs MCP server; connect docs directly to local agents/IDEs. |
Current docs |
| P2 |
[Codex SDK](https://developers.openai.com/codex/sdk) |
OpenAI |
Codex SDK; Automation |
Programmatically control Codex in CI/CD or internal tools; embed coding agents into existing workflows. |
Current docs |
| P2 |
[When AI builds itself](https://www.anthropic.com/institute/recursive-self-improvement) |
Anthropic |
Agents; Recursive self-improvement; Safety |
How AI systems accelerate their own development through recursive self-improvement; three possible futures and the need for verifiable coordination. |
2026-05 |