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bongoDev | Prompt Engineering for Engineers Pro - Knowledge Hub

Knowledge Hub/Prompt Engineering for Engineers Pro

Englishবাংলা

Learning path

Prompt Engineering for Engineers Pro

Engineering-focused prompt design for turning goals, context and constraints into verifiable code, architecture, DevOps, cloud, troubleshooting, security, performance and production outcomes with safe AI-assisted workflows.

Discount price

৳ 320.00৳ 120.00Save ৳ 200.00

Lessons

50 published lessons · 1 free preview

01Prompt Engineering for Engineers Mental Model: Goal → Context → Constraints → Output → VerifyBuild the core engineering prompt loop that turns a vague request into a testable engineering outcome.Beginner · 28 min readFree previewFree preview
02What AI Is Good At—and Where Engineers Must Stay Skeptical

Understand where AI accelerates engineering and where ambiguity, hallucination, stale knowledge, or missing context creates risk.

Beginner · 28 min read

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03Prompt Anatomy: Role, Objective, Context, Inputs, Constraints, Output & ValidationUse a reusable structure for prompts that produce implementation-ready engineering results.Beginner · 32 min readLockedLocked

04Context Engineering: Give AI the Right Evidence, Not EverythingSelect the minimum high-value architecture, code, logs, configs, errors, and constraints needed for a correct answer.Intermediate · 32 min readLockedLocked

05Define Success First: Acceptance Criteria, Non-Goals & Definition of DoneTurn subjective requests into explicit engineering acceptance criteria that AI output can be tested against.Intermediate · 30 min readLockedLocked

06Assumptions, Uncertainty & Missing Information: Make the AI Show Its BoundariesAsk for assumptions, uncertainty, missing evidence, and concise rationale without depending on hidden reasoning.Intermediate · 30 min readLockedLocked

07Output Contracts: Markdown, JSON, YAML, Tables, Diffs & File-by-File DeliverablesMake AI responses predictable and machine- or engineer-consumable with explicit output formats.Intermediate · 34 min readLockedLocked

08Examples & Few-Shot Prompting: Teach the Pattern You WantUse small representative examples to teach naming, style, structure, and decision patterns.Intermediate · 30 min readLockedLocked

09Task Decomposition: Break Large Engineering Problems into Solvable UnitsSplit architecture and implementation work into bounded stages with clear interfaces and validation.Intermediate · 34 min readLockedLocked

10Prompt Chaining: Requirements → Design → Build → Test → Review → OperateBuild multi-prompt workflows instead of forcing complex engineering projects into one oversized prompt.Intermediate · 36 min readLockedLocked

11Iterative Refinement: Critique, Revise, Compare & ConvergeImprove outputs systematically through targeted critique and revision rather than random re-prompting.Intermediate · 32 min readLockedLocked

12Long Conversations & Context Drift: Maintain a Reliable Working StatePrevent requirements, constraints, decisions, and current-state facts from drifting during long AI-assisted projects.Intermediate · 30 min readLockedLocked

13Tool-Aware Prompting: Files, Repositories, Shells, APIs & External SystemsTell an AI how to use available tools safely and what evidence to collect before changing anything.Advanced · 34 min readLockedLocked

14Source-Grounded Engineering Prompts: Documentation, RFCs & EvidenceForce technical recommendations to stay grounded in supplied documentation or explicitly verified sources.Advanced · 34 min readLockedLocked

15Code Generation Prompts: From Requirement to Reviewable ImplementationGenerate code with architecture context, interfaces, constraints, tests, error handling, and review criteria.Intermediate · 38 min readLockedLocked

16Refactoring Prompts: Improve Code Without Changing BehaviorUse AI to refactor incrementally while preserving contracts and proving behavior with tests.Intermediate · 34 min readLockedLocked

17Code Review Prompts: Bugs, Maintainability, Performance & SecurityTurn AI into a structured reviewer that ranks findings by evidence and severity.Intermediate · 36 min readLockedLocked

18Debugging Prompts: Hypotheses, Evidence & the Next Best TestUse AI as a diagnostic partner that separates facts from assumptions and proposes discriminating tests.Advanced · 40 min readLockedLocked

19Test Generation Prompts: Unit, Integration, Contract & Failure CasesGenerate tests from behavior and risk rather than maximizing line coverage blindly.Intermediate · 36 min readLockedLocked

20API Design Prompts: Contracts, Errors, Idempotency & EvolutionDesign APIs with explicit contracts, failure behavior, compatibility, security, and operational concerns.Advanced · 36 min readLockedLocked

21Database & Schema Prompts: Data Model, Constraints, Indexes & Migration SafetyPrompt AI for data design while requiring integrity, query patterns, indexing, migration, rollback, and scale analysis.Advanced · 38 min readLockedLocked

22Architecture Design Prompts: Requirements → Trade-Offs → Decision RecordCreate architecture recommendations that expose assumptions, alternatives, failure modes, and trade-offs.Advanced · 42 min readLockedLocked

23Docker Prompts: Production Images, Multi-Stage Builds & Runtime SafetyGenerate Docker artifacts with build efficiency, runtime security, health, and validation requirements.Intermediate · 34 min readLockedLocked

24Kubernetes Prompts: Workloads, Probes, Resources, Security & Rollout SafetyProduce Kubernetes manifests that include operational safeguards instead of only syntactically valid YAML.Advanced · 40 min readLockedLocked

25Terraform & IaC Prompts: Planable, Modular & Reviewable InfrastructureGenerate IaC with state, modules, security, naming, lifecycle, validation, and change-risk controls.Advanced · 40 min readLockedLocked

26CI/CD Prompts: Build, Test, Scan, Release, Rollback & EvidenceDesign pipelines around immutable artifacts, policy gates, least privilege, safe deployment, and recovery.Advanced · 38 min readLockedLocked

27Cloud Architecture Prompts: AWS, Azure & GCP Without Inventing InfrastructureGet cloud designs that state assumptions, estimate failure domains, and avoid fabricating account-specific details.Advanced · 40 min readLockedLocked

28Observability Prompts: Metrics, Logs, Traces, Dashboards & AlertsGenerate observability plans tied to user journeys, SLOs, failure modes, and actionable evidence.Advanced · 38 min readLockedLocked

29Incident & SRE Prompts: Triage Without GuessingUse AI during incidents to rank hypotheses, choose safe diagnostic steps, and preserve evidence and recovery focus.Advanced · 42 min readLockedLocked

30Performance Prompts: Bottlenecks, Load Tests & Optimization ExperimentsAsk AI to analyze performance evidence, design experiments, and avoid optimizing unproven bottlenecks.Advanced · 40 min readLockedLocked

31Security Review Prompts: Threat Modeling, Misconfiguration & Risk RankingUse AI for security review while demanding evidence, exploitability context, least privilege, and safe remediation.Advanced · 42 min readLockedLocked

32Documentation Prompts: README, ADR, Runbook, Playbook & HandoverGenerate documentation from actual system behavior, ownership, commands, risks, and operational procedures.Intermediate · 34 min readLockedLocked

33Migration & Upgrade Prompts: Compatibility, Sequencing & RollbackPlan framework, database, cloud, and platform upgrades with compatibility checks, staged rollout, and recovery.Advanced · 40 min readLockedLocked

34Logs, Metrics & Data Analysis Prompts: Turn Evidence into QuestionsPrompt AI to extract patterns from telemetry while preserving time windows, units, cardinality, and uncertainty.Advanced · 38 min readLockedLocked

35Reviewing AI-Generated Engineering Output: Make the Model Critique Its WorkRun a second-pass review for assumptions, missing edge cases, security, compatibility, and operational readiness.Advanced · 36 min readLockedLocked

36Verification Pipelines: Compile, Lint, Test, Plan, Dry-Run & ObserveConvert AI output into a sequence of deterministic checks before implementation or production use.Advanced · 42 min readLockedLocked

37Hallucinations & Phantom APIs: Detect Invented Packages, Flags & CapabilitiesRecognize and verify fabricated commands, libraries, options, resource types, product capabilities, and defaults.Intermediate · 34 min readLockedLocked

38Secrets, Privacy & Sensitive Engineering ContextSanitize credentials, PII, customer data, internal code, logs, and configs before sharing them with AI systems.Advanced · 36 min readLockedLocked

39Prompt Injection & Untrusted Instructions in Repositories, Logs & DocumentsTreat instructions embedded in untrusted content as data unless explicitly authorized by the engineering task.Advanced · 40 min readLockedLocked

40Destructive Commands & Change Safety: AI Must Not Become a Production FootgunRequire blast-radius analysis, backups, dry runs, approvals, and reversible steps before destructive actions.Advanced · 40 min readLockedLocked

41Prompt Anti-Patterns: Vague Goals, Prompt Bloat, Role Theater & Blind TrustRecognize common prompting habits that increase noise without improving engineering outcomes.Intermediate · 32 min readLockedLocked

42Prompt Debugging: Why the AI Produced a Bad Engineering ResultDiagnose bad outputs by checking goal, evidence, context, constraints, conflicts, format, and validation criteria.Advanced · 38 min readLockedLocked

43Prompt Quality Scorecard: Measure Usefulness, Correctness & VerifiabilityEvaluate prompts and outputs with a repeatable engineering scorecard instead of subjective preference.Intermediate · 34 min readLockedLocked

44Engineering Prompt Template Library: 10 Copy/Paste Production TemplatesUse ten reusable templates for architecture, code, review, debugging, DevOps, IaC, CI/CD, incidents, security, and performance.Intermediate · 55 min readLockedLocked

45Capstone Lab 1: AI-Assisted Feature Delivery from Requirement to Pull RequestUse a chained prompt workflow to turn a feature request into architecture, code, tests, review, and handover evidence.Advanced · 55 min readLockedLocked

46Capstone Lab 2: AI-Assisted Infrastructure & Kubernetes DeliveryGenerate and verify Docker, Terraform, Kubernetes, CI/CD, rollout, and rollback artifacts as one controlled workflow.Advanced · 60 min readLockedLocked

47Capstone Lab 3: AI-Assisted Production Incident InvestigationUse AI to investigate a cross-stack incident without surrendering evidence-based troubleshooting discipline.Advanced · 60 min readLockedLocked

48Team Prompt Standards: Shared Templates, Reviews, Versioning & GovernanceTreat high-value engineering prompts as maintainable team assets with owners, tests, versions, and security boundaries.Advanced · 38 min readLockedLocked

49Prompt Engineering Troubleshooting & Improvement PlaybookUse a systematic workflow to repair weak prompts and prove that the revised prompt improves engineering outcomes.Advanced · 44 min readLockedLocked

50Prompt Engineering for Engineers Pro CheatsheetConsolidate prompt structures, workflow patterns, safety checks, verification steps, and reusable templates into one reference.Advanced · 55 min readLockedLocked