Agentic-Engineering-Handbook

OpenAI and Anthropic released a series of new tools and standards for building AI agents in 2025, including OpenAI's Responses API, Agents SDK, AgentKit, and Codex, as well as Anthropic's Model Context Protocol (MCP) for connecting AI assistants to external data and tools. These releases mark a significant push toward production-ready agent frameworks, with OpenAI integrating MCP into its runtime and Anthropic establishing an open standard for AI-tool interoperability.

| 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 |