The Latitude blog

Notes on agent engineering

Ideas, guides, and product updates on tracing agents in production, finding failures, and writing evals that catch them.

Catch regressions after a Hermes updateHow-to guide12 minWhat LLM observability catches that APM missesEngineering deep-dive8 minPrioritize AI Agent Bugs by User ImpactHow-to guide10 minDebug LLM Traces from Claude Code or CursorHow-to guide9 minHow I found out my agent's memory was corruptedEngineering deep-dive7 minReasoning effort only matters when the agent can't run testsEngineering deep-dive10 minHow to track recurring LLM failures over timeHow-to guide12 minDo you need evals if you already monitor?How-to guide10 minAn open-weights model matched the frontierEngineering deep-dive4 minHow to debug a RAG pipeline that returns wrong answersHow-to guide9 minHow to catch prompt regressions after a model updateHow-to guide10 minHow do I find out how users actually use my AI agent?How-to guide14 minHow to detect when your AI agent refuses or over-refusesHow-to guide14 minHow to detect tool-call errors in an agentic workflowHow-to guide12 minHow we built a system for agents to fix themselvesEngineering deep-dive7 minAuto-flag problematic LLM conversations without classifiersHow-to guide15 minHow to detect user frustration in your LLM agentHow-to guide9 minBehavioral testing for LLMs: Best practicesHow-to guide16 minReal-time eval strategies for LLMsEngineering deep-dive15 minManaging data quality for LLM evalsEngineering deep-dive14 minAgent observability: Tracing multi-turn conversationsEngineering deep-dive12 minTracking LLM failures in productionEngineering deep-dive14 minContinuous drift detection: Preventing AI regressionsEngineering deep-dive13 minAutomating bias detection in LLM pipelinesEngineering deep-dive14 minLLM failure modes: Root cause analysis guideHow-to guide14 minDebugging LLM failures: Step-by-step processHow-to guide13 minHow annotations enhance LLM feedback collectionEngineering deep-dive10 minHow to evaluate LLMs: Datasets, metrics, methodologyHow-to guide15 minHow to evaluate LLM agents: Practical error analysisHow-to guide17 minHow to close the gap between AI demos and productionHow-to guide14 minWhy expert feedback matters for LLM reliabilityEngineering deep-dive14 minEvaluating scalability in LLM pipelinesEngineering deep-dive18 min7 LLM observability tools compared 2026Comparison15 minAutomated regression testing for LLMsEngineering deep-dive17 minLLM metrics: How to interpret resultsHow-to guide16 minRule-based filters vs LLMs: Moderation comparisonComparison22 minHow to build eval-driven AI observability for agentsHow-to guide7 minMeasure and reduce noise in agentic LLM evalsEngineering deep-dive6 minHow to validate prompts for task-specific AI featuresHow-to guide16 minHow to choose a model for an evaluatorHow-to guide4 minChecklist for Dockerizing LLM workloadsHow-to guide20 minHow load balancers improve LLM reliabilityEngineering deep-dive15 minHow human feedback improves LLM fine-tuningEngineering deep-dive13 minHow to build a domain-specific evaluation frameworkHow-to guide16 minAI evaluation for heads of AI: From production observations to systematic improvementEngineering deep-dive8 minLatency, cost, and precision: Finding the sweet spotEngineering deep-dive14 min5 steps for iterating prompts with expert feedbackHow-to guide15 minUltimate guide to CI/CD for LLM evaluationHow-to guide13 minBest W&B alternatives for AI evaluation (2026)Comparison9 minBest Arize AI alternatives for ML & LLM evaluation (2026)Comparison9 minLatitude vs Arize AI: Evaluating AI agents in production (2026)Comparison11 minBest Humanloop alternatives for AI evaluation (2026)Comparison6 minLatitude vs Humanloop: AI evaluation platform compared (2026)Comparison8 minBest Braintrust alternatives for AI agent evaluation (2026)Comparison8 minLatitude vs Langfuse: Evaluation features compared (2026)Comparison8 minLatitude vs LangSmith: AI evaluation for agents (2026)Comparison8 minHow Latitude AI evaluations work: GEPA and production-based testingEngineering deep-dive10 minAI evaluation for CTOs: Building a production-grade eval strategyEngineering deep-dive8 minHow teams use logs to debug LLM failuresEngineering deep-dive19 minHow to generate AI evaluations from real production dataHow-to guide20 minBest Helicone alternatives for LLM monitoring (2026)Comparison17 minDeepEval alternatives: 6 LLM evaluation tools compared (2026)Comparison15 minSwitching LLMs: Testing for compatibilityEngineering deep-dive18 minHuman feedback in prompt tuning: Best practicesHow-to guide12 minHow to build automated LLM evaluation pipelinesHow-to guide19 minWhy AI agents break in production: Failure patterns and how to detect themFailure teardown16 minWe tested quantized LLMs: Cost and performance resultsEngineering deep-dive13 minLLMs for education: Domain-specific model comparisonComparison17 minBest AI evaluation tools for agents in production (2026)Comparison13 minAgent evaluation tools compared: Why generic benchmarks fail production AI (2026)Comparison20 minAI agent observability tools compared: Latitude vs Langfuse vs LangSmith vs Braintrust vs Helicone (2026)Comparison18 minAI agent observability tools: A comparison for production teams (2026)Comparison18 minThe complete guide to debugging AI agents in productionHow-to guide19 min15 AI agent observability platforms in 2026: Which handle true agentic complexity?Comparison23 minAgent evaluation vs. LLM evaluation: Why traditional tools fall short (2026 comparison)Comparison23 minBest AI observability tools for agents in 2026: 15-platform comparisonComparison21 minBest LLM observability tools for AI agents: Latitude vs Langfuse, LangSmith, Arize, and Braintrust (2026)Comparison22 minThe complete guide to evaluating AI agents in production: Beyond LLM evalsHow-to guide18 minLangSmith alternatives for AI agents: Why agent observability needs different toolsComparison13 minAI agent observability tools: 2026 comparisonComparison16 minLangSmith alternatives for AI agent observability in 2026Comparison18 minHow to monitor AI agents in production: A complete guide for engineering teamsHow-to guide16 minBest AI agent observability tools in 2026: A comparison for production teamsComparison22 minEvaluating LLMs for out-of-domain robustnessEngineering deep-dive14 minAI agent observability tools: A developer's comparison guide (2026)Comparison18 minAI agent observability platforms: 2026 buyer's guideComparison18 minBest AI agent evaluation platforms in 2026: Comprehensive comparisonComparison19 minHow to evaluate LLM outputs with human feedback: A production-focused workflowHow-to guide14 minTop LLM evaluation tools for AI agents in 2026Comparison14 minEvaluating multi-turn agent conversations: From production issues to auto-generated testsEngineering deep-dive12 minAI agent monitoring tools: A buyer's guide for production teams (2026)Comparison15 minBest AI evaluation platforms for agents in 2026: Comparison for production AI systemsComparison15 minAI agent observability tools: 2026 buyer's guide for production teamsComparison15 minDetecting AI agent failure modes in production: A framework for observability-driven diagnosisHow-to guide17 minBest AI evaluation tools for agents in 2026: Agent-first vs LLM-only platformsComparison15 minComplete guide to agent observability and evaluationsHow-to guide7 minPruning LLMs for edge: Resource optimizationEngineering deep-dive14 minHow to use an LLM as a judge for model evaluationHow-to guide6 minHow to observe and evaluate agentic AI systemsHow-to guide7 minHow to evaluate LLMs and agents: End-to-end frameworkHow-to guide6 minHow to make AI reliable: Use LLMs with deterministic systemsHow-to guide6 minHow open-source tools power LLMOps workflowsEngineering deep-dive16 minFrameworks for AI audit trails: A comparative guideHow-to guide17 minBest LangSmith alternatives in 2026Comparison13 minBest Langfuse alternatives in 2026Comparison7 minTop 5 AI agent evaluation tools in 2026Comparison6 minReal-time LLMs: Optimizing latency in streamingEngineering deep-dive13 minAI agent failure modes in production: Detection playbook + tooling stackEngineering deep-dive5 minLatitude vs Helicone: LLM observability & pricing comparedComparison7 minLatitude vs Braintrust: LLM evaluation platform comparisonComparison7 minHow human feedback improves prompt effectivenessEngineering deep-dive11 minCross-domain model transfer: Challenges and solutionsEngineering deep-dive14 minHow to preprocess data for prompt engineeringHow-to guide14 minProgrammatic rule evaluations explainedEngineering deep-dive4 minPrompt comparison tool for smarter AIComparison2 minLLM output evaluator for quality checksEngineering deep-dive2 minHow to process documents at scale with semantic operatorsHow-to guide6 minHow dataset size impacts LLM fine-tuningEngineering deep-dive16 minWhen to use the different types of LLM evaluationsHow-to guide12 minHuman feedback in LLM validation workflowsEngineering deep-dive20 minServerless vs Kubernetes for LLM deploymentComparison20 minGEPA algorithm: What it is and how it optimizes promptsEngineering deep-dive5 minUltimate guide to LLM load testingHow-to guide13 minComplete guide to AI product architecture for GenAIHow-to guide6 minHow to build a flexible LLM evaluation backendHow-to guide6 minAI reliability & trustworthiness: Principles, frameworks, and how to assess themHow-to guide11 minPrompt optimization & automatic prompt engineering: Tools, techniques, and tradeoffsEngineering deep-dive9 minLLM evaluation: Frameworks, methods, and tools for measuring qualityEngineering deep-dive15 minLLM observability: What it is & how teams implement itEngineering deep-dive7 minHuman feedback vs. automated metrics in LLM evaluationComparison19 minEvaluating prompts at scale: Key metricsEngineering deep-dive13 minFine-tuning LLMs: Hyperparameter best practicesHow-to guide14 minHow to measure instruction-following in LLMsHow-to guide15 minTools for managing multi-expert prompt designEngineering deep-dive9 minOpen-source platforms for LLM evaluationEngineering deep-dive11 minHow to deploy agentic AI in production safelyHow-to guide6 minComplete guide to evaluating LLMs for productionHow-to guide6 minHow to add LLM testing to GitHub actionsHow-to guide13 minLLM prompts with external event triggersEngineering deep-dive17 minOpen-source vs proprietary LLMs: Ethical trade-offsComparison21 minReal-time observability in LLM workflowsEngineering deep-dive17 minBest practices for domain-specific model fine-tuningHow-to guide20 minHow to prevent & reduce bias in LLM training dataHow-to guide12 minMicrosoft Copilot AI faced criticisms over performance and reliability issuesEngineering deep-dive4 minTop tools for event-driven LLM workflow designEngineering deep-dive29 minBest practices for multimodal audio-text systemsHow-to guide18 minHow to test LLM prompts for biasHow-to guide16 minMulti-modal prompt integration: Data prep guideHow-to guide17 minPersona-based personalization in LLM applicationsEngineering deep-dive14 minProprietary LLMs: Hidden costs to watch forEngineering deep-dive13 minHardware acceleration for multi-GPU LLM scalingEngineering deep-dive22 minHow to organize prompt templates for LLMsHow-to guide20 minDesign patterns for LLM microservicesEngineering deep-dive22 min9 fine-tuning strategies for summarization modelsEngineering deep-dive25 minPrompt length optimizer for AI successEngineering deep-dive2 minUltimate guide to multimodal AI prototypingHow-to guide20 minPerformance vs. fault tolerance in LLMs: Key considerationsComparison18 minTop 5 distributed optimizers for LLM fine-tuningEngineering deep-dive17 minBest practices for LLM hardware benchmarkingHow-to guide16 minDomain adaptation: Lessons from transfer learningEngineering deep-dive15 minFault tolerance in LLM pipelines: Key techniquesEngineering deep-dive17 minLatitude and other community prompt toolsEngineering deep-dive14 minHow to build agentic data engineering workflowsHow-to guide6 minHow to align LLM evaluators with human annotationsHow-to guide6 minComplete guide to context engineering for coding agentsHow-to guide7 minTop tools for post-hoc bias mitigation in AIEngineering deep-dive19 minMetrics for evaluating feedback in LLMsEngineering deep-dive17 minHow real-time traffic monitoring improves LLM load balancingEngineering deep-dive15 min10 best practices for multi-cloud LLM securityHow-to guide34 minHow examples improve LLM style consistencyEngineering deep-dive17 minTop tools for automated model benchmarkingEngineering deep-dive19 minHow context shapes semantic relevance in promptsEngineering deep-dive17 minHow task complexity drives error propagation in LLMsEngineering deep-dive18 minUltimate guide to contextual accuracy in prompt engineeringHow-to guide15 minAudit logs in AI systems: What to track and whyEngineering deep-dive16 minDynamic load balancing for multi-tenant LLMsEngineering deep-dive14 minHow knowledge graphs ground LLMs for trustworthy AIEngineering deep-dive7 minHow to build RAG + KG for regulatory complianceHow-to guide7 minRay for fault-tolerant distributed LLM fine-tuningEngineering deep-dive20 minLLM metadata standards: Problems vs. solutionsComparison14 minHow zero redundancy optimizer enables memory efficiencyEngineering deep-dive9 minTrade-offs in LLM benchmarking: Speed vs. accuracyComparison13 minBest cloud providers for budget AI deploymentsEngineering deep-dive24 minHow to optimize batch processing for LLMsHow-to guide13 minDynamic LLM routing: Tools and frameworksEngineering deep-dive12 minOpen-source LLM costs: Pricing & deployment comparedComparison15 minGetting started with LLMs: Local models & promptingHow-to guide8 minHow to prompt LLMs: Zero-shot, few-shot, CoTHow-to guide6 minMultilingual prompt engineering for semantic alignmentEngineering deep-dive18 minFine-tuning LLMs on imbalanced data: Best practicesHow-to guide15 minRabbitMQ vs Kafka: Latency comparison for AI systemsComparison16 minCross-platform testing vs. interoperability testing: Key differencesComparison15 minComplete guide to prompt engineering for LLM reasoningHow-to guide7 minHow unsupervised domain adaptation works with LLMsEngineering deep-dive15 minComparing bias detection frameworks for LLMsEngineering deep-dive13 minHow prompt design impacts latency in AI workflowsEngineering deep-dive14 minDesigning self-healing systems for LLM platformsEngineering deep-dive14 minFine-tuning LLMs for multilingual domainsEngineering deep-dive19 minLLM inference optimization: Speed, scale, and savingsEngineering deep-dive20 minHow quantization reduces LLM latencyEngineering deep-dive17 minReal-time feedback techniques for LLM optimizationEngineering deep-dive15 minReusable prompts: Structured design frameworksEngineering deep-dive13 minCloud vs on-prem LLMs: Long-term cost analysisComparison14 minAI risk assessment for compliance: Frameworks & toolsHow-to guide18 minUltimate guide to LLM scalability benchmarksHow-to guide17 min5 patterns for scalable LLM service integrationHow-to guide22 minDemand forecasting models for LLM inferenceEngineering deep-dive20 minBest tools for domain-specific LLM benchmarkingComparison17 minChecklist for domain-specific LLM fine-tuningHow-to guide18 minHow to check LLM license compatibilityHow-to guide16 minTop 7 metrics for ethical LLM evaluationHow-to guide32 minFine-tuning LLMs for new task requirementsEngineering deep-dive18 minHow task scheduling optimizes LLM workflowsEngineering deep-dive16 min5 tips for consistent LLM promptsHow-to guide14 minCI/CD for LLMs: Best practicesHow-to guide12 minContext-aware prompt scaling: Key conceptsEngineering deep-dive19 minHow to clean noisy text data for LLMsHow-to guide16 minPrivacy risks in prompt data and solutionsEngineering deep-dive19 minUltimate guide to LLM inference optimizationHow-to guide17 minSerialization protocols for low-latency AI applicationsEngineering deep-dive14 minHow to check LLM licenses for commercial useHow-to guide14 min5 ways to reduce latency in event-driven AI systemsHow-to guide16 minTop strategies for bias reduction in LLMsEngineering deep-dive13 minTemplate syntax basics for LLM promptsEngineering deep-dive15 minBest practices for text annotation with LLMsHow-to guide12 minDomain-specific criteria for LLM evaluationEngineering deep-dive10 minLatency optimization in LLM streaming: Key techniquesEngineering deep-dive13 minHow to design fault-tolerant LLM architecturesHow-to guide10 minMulti-modal context fusion: Key techniquesEngineering deep-dive10 minPre-labeled data: Best practices for LLMsHow-to guide8 minHow JSON schema works for LLM dataEngineering deep-dive9 minUltimate guide to LLM caching for low-latency AIHow-to guide11 minUltimate guide to domain vocabulary for LLM fine-tuningHow-to guide9 minHow to reduce bias in AI with prompt engineeringHow-to guide9 minHow to improve LLM factual accuracyHow-to guide10 minQuantitative metrics for LLM consistency testingEngineering deep-dive4 minUltimate guide to metrics for prompt collaborationHow-to guide4 min5 metrics for evaluating prompt clarityHow-to guide6 min5 patterns for scalable prompt designHow-to guide12 minGuide to multi-model prompt design best practicesHow-to guide7 minHow to assess LLMs for healthcare applicationsHow-to guide8 minHow to measure response coherence in LLMsHow-to guide5 minPrompt engineering vs fine-tuning: Key differences (2026)Comparison8 minUltimate guide to event-driven AI observabilityHow-to guide10 minSemantic relevance metrics for LLM promptsEngineering deep-dive9 minTop 5 metrics for evaluating prompt relevanceHow-to guide8 minStrategies for overcoming model-specific prompt issuesEngineering deep-dive7 minOpen-source vs proprietary LLMs: Cost breakdownComparison7 minHow user-centered prompt design improves LLM outputsEngineering deep-dive7 minScaling open-source LLMs: Infrastructure costs breakdownEngineering deep-dive8 minHow to integrate prompt versioning with LLM workflowsHow-to guide8 min5 steps to handle LLM output failuresHow-to guide8 minUltimate guide to preprocessing pipelines for LLMsHow-to guide12 min5 methods for calibrating LLM confidence scoresHow-to guide9 minReusable LLM use cases: Best practices for documentationHow-to guide6 minCross-border data compliance for LLMsEngineering deep-dive8 minTop tools for contextual prompt optimizationEngineering deep-dive7 minScaling LLMs with batch processing: Ultimate guideHow-to guide13 minHow prompt version control improves workflowsEngineering deep-dive6 minAI fairness metrics: Which to use for model selectionHow-to guide9 minGuide to standardized prompt frameworksHow-to guide9 minBest practices for dataset version controlHow-to guide8 minQualitative vs quantitative prompt evaluationComparison8 minQualitative metrics for prompt evaluationEngineering deep-dive8 minBest practices for collaborative AI workflow managementHow-to guide8 minHow to track prompt changes over timeHow-to guide9 minA/B testing in LLM deployment: Ultimate guideHow-to guide9 minBest practices for prompt documentationHow-to guide9 minTop features to look for in real-time prompt validation toolsEngineering deep-dive10 minTop open-source tools for real-time prompt validationComparison10 minEvaluating prompts: Metrics for iterative refinementEngineering deep-dive5 minIterative prompt refinement: Step-by-step guideHow-to guide9 min10 examples of tone-adjusted prompts for LLMsHow-to guide17 minPrompt engineer vs. domain expert: Role comparisonComparison10 minHow feedback loops shape LLM outputsEngineering deep-dive6 minPrompt rollback in production systemsEngineering deep-dive7 minPrompt versioning: Best practicesHow-to guide6 minGuide to monitoring LLMs with OpenTelemetryHow-to guide8 minBest practices for LLM observability in CI/CDHow-to guide7 minScalability testing for LLMs: Key metricsEngineering deep-dive7 minLLM prompt engineering FAQ: Expert answers to common questionsEngineering deep-dive8 minTop 7 open-source tools for prompt engineering in 2025Comparison13 minThe ultimate guide to LLM feature developmentHow-to guide7 minCollaborative prompt engineering: Best tools and methodsComparison6 minCommon LLM prompt engineering challenges and solutionsEngineering deep-dive8 minEssential checklist for deploying LLM features to productionHow-to guide10 min5 ways to optimize LLM prompts for production environmentsHow-to guide10 minPrompt engineering vs traditional programming: Key differencesComparison8 minHow to build scalable LLM features: A step-by-step guideHow-to guide11 min10 best practices for production-grade LLM prompt engineeringHow-to guide5 min