AI ENGINEER DEX
THE INDEX

All practices

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53 of 53 practices
StandardCraftStart with workflows, not agentsCR-001 · Craft · Anthropic, HumanLayerReviewed Aug 2026Worth tryingCraftPlan before implementation, and review the planCR-002 · Craft · AnthropicReviewed Aug 2026Worth tryingCraftHave a second agent review, in a fresh contextCR-003 · Craft · Anthropic, EveryReviewed Aug 2026Worth tryingCraftRun parallel agents in separate git worktreesCR-004 · Craft · AnthropicReviewed Aug 2026StandardCraftStandardise the layer beneath the tools, not the toolsCR-005 · Craft · Cloudflare, ShopifyReviewed Aug 2026Worth tryingCraftTurn repeated workflows into commands, skills and pluginsCR-006 · Craft · AnthropicReviewed Aug 2026WatchCraftEncode engineering standards as agent-retrievable rules, enforced in CICR-007 · Craft · CloudflareOne source · a little soon to recommendStandardContextTreat context as a scarce budgetCX-001 · Context · Anthropic, ManusReviewed Aug 2026WatchContextDon't fill the window past roughly 40%CX-002 · Context · HumanLayerReviewed Aug 2026Worth tryingContextKeep identifiers, load the data at runtimeCX-003 · Context · AnthropicReviewed Aug 2026StandardContextWrite state to files before the window fillsCX-004 · Context · Anthropic, ManusReviewed Aug 2026StandardContextGive agents a repo-level instruction fileCX-005 · Context · AGENTS.md, CloudflareReviewed Aug 2026Worth tryingContextCompact rather than resetCX-006 · Context · AnthropicReviewed Aug 2026StandardAgentsDefine an agent as a model using tools in a loopAG-001 · Agents · AnthropicReviewed Aug 2026StandardAgentsDesign tools for agents, not for developersAG-002 · Agents · Anthropic, CloudQueryReviewed Aug 2026Worth tryingAgentsUse an orchestrator with parallel subagents for open-ended researchAG-003 · Agents · AnthropicReviewed Aug 2026Worth tryingAgentsLet the agent write code that calls toolsAG-004 · Agents · Anthropic, CloudflareReviewed Aug 2026StandardAgentsUse MCP as the standard integration layerAG-005 · Agents · Anthropic, CloudflareReviewed Aug 2026Worth tryingAgentsMake human approval a tool the agent callsAG-006 · Agents · HumanLayerReviewed Aug 2026Worth tryingAgentsOwn your prompts, context and control flowAG-007 · Agents · HumanLayerReviewed Aug 2026StandardAgentsKeep a durable session log and a disposable harnessAG-008 · Agents · Shopify, AnthropicReviewed Aug 2026Worth tryingGuardsNever combine private data, untrusted content and external communicationGD-001 · Guards · Simon WillisonReviewed Aug 2026Worth tryingGuardsQuarantine untrusted content instead of telling the model to ignore itGD-002 · Guards · Simon WillisonReviewed Aug 2026Worth tryingGuardsSandbox agents to limit blast radiusGD-003 · Guards · Simon Willison, AnthropicReviewed Aug 2026WatchGuardsVet the agent tooling supply chainGD-004 · Guards · Simon WillisonOne source · a little soon to recommendStandardRuntimePin a stable prefix so the cache actually hitsRN-001 · Runtime · Anthropic, ManusReviewed Aug 2026Worth tryingRuntimeRoute between models by task complexityRN-002 · Runtime · Cloudflare, Applied LLMsReviewed Aug 2026StandardRuntimeConstrain generation to a schema instead of parsing free textRN-003 · Runtime · OpenAI, Anthropic, GoogleReviewed Aug 2026Worth tryingRuntimeBatch anything that isn't latency-sensitiveRN-004 · Runtime · AnthropicReviewed Aug 2026StandardEvalsRead your traces before you build any metricEV-001 · Evals · Parlance LabsReviewed Aug 2026Worth tryingEvalsMake judges binary and anchor them to expert critiquesEV-002 · Evals · Parlance LabsReviewed Aug 2026Worth tryingEvalsValidate the judge against human labelsEV-003 · Evals · Parlance LabsReviewed Aug 2026Worth tryingEvalsOnly build an automated eval when the failure justifies itEV-004 · Evals · Parlance LabsReviewed Aug 2026Worth tryingEvalsGate model, prompt and tool changes through an eval suiteEV-005 · Evals · AnthropicReviewed Aug 2026StandardShipStop treating green CI as proof of safetySH-001 · Ship · Vercel, Cloudflare, ShopifyReviewed Aug 2026Worth tryingShipInstrument agents with purpose-built tracing before shippingSH-002 · Ship · Honeycomb, SentryReviewed Aug 2026WatchShipShip observability from day one — AI features get one chanceSH-003 · Ship · ZenMLOne source · a little soon to recommendWorth tryingShipVersion prompts and agents like codeSH-004 · Ship · Applied LLMsReviewed Aug 2026Worth tryingShipStream output, and design the approval gate into the UXSH-005 · Ship · Applied LLMsReviewed Aug 2026WatchShipPut the agent where the work already happensSH-006 · Ship · ShopifyOne source · a little soon to recommendRetiredSupersededRe-prompt until the JSON parsesRE-001 · Runtime · OpenAI, AnthropicRetired Aug 2024RetiredSupersededTell the model to think step by stepRE-002 · Context · OpenAIRetired Dec 2024RetiredObsoleteSplit documents purely to fit the context limitRE-003 · Context · LangChainRetired 2024RetiredSupersededFew-shot examples to force a JSON tool callRE-004 · Agents · OpenAIRetired Jun 2023RetiredSupersededPut a retrieval pipeline in front of every queryRE-005 · Context · LangChainRetired 2025RetiredSupersededAdd and remove tools mid-task to keep the action space smallRE-006 · Agents · ManusRetired Jul 2025RetiredObsoleteAdd few-shot examples inside agent loopsRE-007 · Context · ManusRetired Jul 2025RetiredSupersededScrub failed actions from context to keep it cleanRE-008 · Context · ManusRetired Jul 2025RetiredSupersededUse JSON mode as your reliability guaranteeRE-009 · Runtime · OpenAIRetired Aug 2024RetiredSupersededReach for a heavy agent framework firstRE-010 · Agents · AnthropicRetired Dec 2024RetiredSupersededTreat prompt engineering as the primary disciplineRE-011 · Context · AnthropicRetired Sep 2025RetiredSupersededHand-wire many individual tool calls into one contextRE-012 · Agents · AnthropicRetired 2025RetiredObsoleteAssume the full advertised context window is usableRE-013 · Context · HumanLayerRetired 2025