Documenting Engineering Solutions

🛠️ The Most Underrated Engineering Skill in 2026? Technical Report Writing. Let me share something experience has taught me. You can troubleshoot complex systems. You can dismantle and reassemble precision components. You can fix what others couldn’t. But if you cannot clearly document what happened, what you found, and what you did your expertise loses value. In engineering, your report speaks long after you leave the site. I Used to Think the Real Work Was Only in the Tools Diagnostics. Installations. Repairs. That’s what I thought defined competence. But over time, I realized something deeper: The technical report is not just paperwork. It is protection. It is communication. It is professionalism. A poorly written report can: → Create confusion → Lead to repeated faults → Cause wrong decisions → Undermine your credibility A well-written report can: → Build trust with clients → Support maintenance planning → Strengthen safety compliance → Position you as a reliable expert What Makes a Strong Technical Report? Here’s the simple structure I follow: 1️⃣ Clear Problem Statement What exactly was observed? Be specific. Avoid vague statements. 2️⃣ Documented Observations Include measurements, error codes, physical conditions, test results. Facts first. Assumptions later. 3️⃣ Root Cause Analysis Not just what failed but why it failed. That’s where real engineering thinking shows. 4️⃣ Actions Taken What was repaired, replaced, adjusted, or installed? Be detailed enough for another technician to follow. 5️⃣ Recommendations How do we prevent recurrence? Are there risks to monitor? Does maintenance need adjustment? This is where you move from “repairer” to “consultant.” 📌 Why This Matters More Than Ever Today, reports influence: → Maintenance decisions → Budget approvals → Safety audits → Accountability Your documentation may be reviewed months even years later. That’s impact. Fixing the machine solves today’s problem. Writing a strong report protects tomorrow. Engineers don’t just repair systems. We document reality. We communicate solutions. 👉🏼 What part of technical reporting do you find most challenging clarity, structure, or root cause analysis? #Engineering #TechnicalWriting #Maintenance #Documentation

Many systems fail long before the code stops working They fail when nobody understands them anymore A codebase can run perfectly in production but still be extremely fragile if all knowledge lives inside one developer’s head When that person leaves the team the system becomes a black box Every change feels risky Debugging takes longer New developers struggle to contribute Features slow down Confidence disappears This is why documentation is not optional in professional software engineering It is part of the system Good teams treat knowledge like shared infrastructure → Document architecture so developers understand how components interact → Explain why decisions were made not just what the code does → Write clear READMEs so new developers can onboard quickly → Maintain diagrams that show system boundaries and dependencies → Document APIs and contracts between services → Capture operational knowledge for debugging and incidents Documentation is not about writing essays It is about removing single points of failure in knowledge The most dangerous systems are not the ones with bugs They are the ones nobody understands well enough to safely change A strong engineering team builds software that multiple people can confidently maintain Not systems that depend on one hero developer Look at your current project If one key engineer disappeared tomorrow how difficult would it be for the team to maintain the system Share your experience below Follow Nelson Djalo for practical lessons that help developers build reliable and maintainable software systems #coding #programming #tech

Most engineers solve a problem and move on. The best engineers add one more step. They document the solution in a way their future self and their team can use. Don't wait to learn this the hard way and avoid dealing with a repeated problem. Same symptoms. Same root cause. Same post-mortem deep dive each time. Ask yourself: why am I solving this from scratch, again? Start documenting differently. Not just "corrected the design" or "fixed the relay settings" in the project log. But the actual lesson-learning path: • What symptoms pointed to issues • Which elements at the root cause • What introduces errors within our standard templates • The exact fixing sequence that works • How to avoid this happening again? That one entry will save you hours, possibly even days of redundant troubleshooting in your next project. Make it your habit. Every significant challenge gets documented with enough detail that you or someone else could follow the same path. You have to build a living knowledge base from real project challenges. Designs that got comments. Coordination issues caught late. Details that caused delays on site. Continuing after a setback isn't just about persistence. It's about ensuring that struggle produces something permanent and valuable. Your toughest project moment shouldn't just be survived. It should become an asset you and your entire team can leverage.

A senior engineer joined a team I was advising. First week, he spotted a weird workaround in the payment flow. He cleaned it up. Payments broke on a Friday at 4:55 PM. $47K in failed transactions before anyone caught it. The workaround existed because the payment provider times out on large carts. The retry logic caused double charges. The workaround prevented duplicates. Nobody had written that down anywhere. The team learned the same lesson twice. Once in production. Once in the postmortem. Here's the documentation problem most teams don't see: Skip it → institutional knowledge disappears the moment someone leaves. Document everything → shipping slows to a crawl. Docs drift. Reality moves faster than Confluence. The fix is a 3-part minimum documentation standard: The decision — What did we choose? What did we rule out? "We kept the workaround in the payment flow." The reason — Why does this exist? What constraint forced it? "Provider times out on large carts. Retry logic caused duplicate charges." The consequences — What breaks if someone removes this? When to revisit? "If removed, duplicates return. Revisit when provider supports idempotency keys." Three parts. One page. One link in the PR. What to document every time: ✓ Architecture decisions that change the shape of the system ✓ Weird workarounds that look wrong but are right ✓ External constraints — vendors, compliance, rate limits ✓ Public contracts — APIs, events, schemas What to stop documenting: ✗ UI screenshots of interfaces that change weekly ✗ "How to set up the repo" essays nobody updates ✗ Meeting notes with no decisions ✗ Anything that duplicates what the code already says Ship the software. Document the why. Skip the rest.

If You Don’t Write It Down, It Doesn’t Exist If someone solves a production issue and no one can find the fix later, was it ever really solved? That’s the problem. Engineering teams are full of solved problems with no paper trail. Someone fixed it. Someone probably explained it in a meeting. Someone might have even dropped a brilliant note in Slack. And now it’s gone. ⸻ Here’s what “write it down” actually means: • A runbook that says do this, not that, with timestamps, alerts, and real outcomes • A postmortem that includes what broke, what fixed it, and what you’d never do again • A PR comment that explains the why, not just the diff • A dashboard saved with a name like “CPU spike on bad deploy,” not “test123finalfinal” • A searchable place to put it all that people can actually find when they’re tired and paged at 2 AM If it’s not searchable, it’s not documentation. It’s trivia. ⸻ Why does this matter? Because production doesn’t care who solved it last time. • If it’s not written down, the next engineer starts from zero • If it’s buried in a random channel or Notion page 14 clicks deep, it doesn’t help • If the title is “debug_notes_final_(copy)_v3,” no one’s opening it • If it lives only in one person’s brain, that person just became the team’s single point of failure Meanwhile, searchable, useful documentation: • Cuts incident resolution time • Keeps on-call engineers sane • Prevents Slack archaeology • Builds shared understanding across time zones and roles • Turns one solved problem into 10 avoided ones ⸻ Good documentation is like a GPS during an outage. Bad documentation is like a pirate map written in invisible ink. Make it short. Make it useful. Give it a name someone would Google. Documentation should reduce pain, not require a scavenger hunt. If the problem was worth solving, it’s worth writing down. If it’s written down, make sure it’s findable. If it’s not findable, guess who’s getting paged again?

Career advice I’d give my younger self: Keep a record of your wins Document your accomplishments as you go - not just what you did, but the real impact. (Keep this in a personal repository, not at work.) Most of us move from project to project, thinking we’ll remember the details when we need them. Then, when it’s time for a job search or a performance review, we struggle to articulate our impact. Instead, whenever you start a new project, ask yourself: “How will my future self talk about this?” Think in terms of a story - a problem worth solving, a difficult and challenging solution, and a meaningful transformation. You don’t have to wait until the project is finished to start writing it. Step 1: The problem What problem are you solving? A (business) problem worth solving has the problem itself, which lead to symptoms that, if they aren't addressed, can lead to disaster. For example, you might be replacing a legacy workflow. The old workflow is slow and includes manual steps. This results in errors and customer dissatisfaction, which leads to financial risk (due to errors) and churn, resulting in stagnant revenue and declining market share. You'll get more insight over time, but just start at the start. Write down what you know. Step 2: Document the outcomes you (or your leadership) are expecting or hoping for You may not know the final impact yet, but you have a hypothesis. What will change if your project succeeds? More revenue? Higher efficiency? Customer satisfaction improvements? Write that down. The transformation is often the opposite of the problem: if revenue is stagnant, the goal is growth. If churn is rising, the goal is retention. Define the ideal outcome early. Step 3: Capture the key components of the solution As technologists, we naturally document what we built. That’s fine, but remember—hiring managers and execs care less about features and more about impact. And how you collaborated and persuaded stakeholders to create and keep alignment. Step 4: Update your story as you go As your project progresses, go back and update: ✔ What you learned about the real problem ✔ Changes in your approach ✔ The actual results once customers started using your solution Often, the results blossom in unexpected ways - leading to social proof like customer stories, awards, or internal recognition. Capture those. These stories become the basis of a resume that gets interviews and they're great for performance reviews.

🧾 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗻𝘀𝗼𝗹𝗶𝗱𝗮𝘁𝗲𝗱 𝗤𝗔/𝗤𝗖 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗟𝗶𝘀𝘁 – 𝗙𝗮𝗯𝗿𝗶𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗖𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 In engineering projects, documentation is the DNA of quality. It’s not just paperwork — it’s the technical history of how a structure or system was built, inspected, and approved. I’ve compiled a complete consolidated QA/QC document list covering every stage from: Project Initiation → Material → Welding → NDT → Painting → Testing → Handover. It includes more than 50 essential QA/QC records, all in one place. Perfect for QA/QC Engineers, Inspectors, and Project Managers who live by: 🗒️ “If it’s not documented — it’s not done.” ✅ ────────────────────────────── 🔹 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀 𝗖𝗼𝘃𝗲𝗿𝗲𝗱 ────────────────────────────── 1️⃣ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗜𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝗼𝗻 & 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 2️⃣ 𝗠𝗮𝘁𝗲𝗿𝗶𝗮𝗹 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 & 𝗧𝗿𝗮𝗰𝗲𝗮𝗯𝗶𝗹𝗶𝘁𝘆 3️⃣ 𝗪𝗲𝗹𝗱𝗶𝗻𝗴 & 𝗙𝗮𝗯𝗿𝗶𝗰𝗮𝘁𝗶𝗼𝗻 4️⃣ 𝗡𝗗𝗧 & 𝗠𝗲𝗰𝗵𝗮𝗻𝗶𝗰𝗮𝗹 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 5️⃣ 𝗣𝗮𝗶𝗻𝘁𝗶𝗻𝗴 / 𝗖𝗼𝗮𝘁𝗶𝗻𝗴 6️⃣ 𝗙𝗶𝗻𝗮𝗹 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 & 𝗜𝗻𝘀𝗽𝗲𝗰𝘁𝗶𝗼𝗻 7️⃣ 𝗖𝗮𝗹𝗶𝗯𝗿𝗮𝘁𝗶𝗼𝗻, 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 & 𝗔𝘂𝗱𝗶𝘁 8️⃣ 𝗙𝗶𝗻𝗮𝗹 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 & 𝗛𝗮𝗻𝗱𝗼𝘃𝗲𝗿 ────────────────────────────── 📄 𝗞𝗲𝘆 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 𝗜𝗻𝗰𝗹𝘂𝗱𝗲: ────────────────────────────── • PQP (Project Quality Plan) • ITP (Inspection & Test Plan) • WPS / PQR / WQR • Material Test Certificates (MTC) • Fit-Up & Welding Inspection Reports • NDT Reports – VT, PT, MT, UT, RT • DFT, Holiday & Adhesion Test Reports • Calibration, NCR, CAR/PAR Logs • MRB, As-Built Drawings & Dispatch Certificates ────────────────────────────── 💡 𝗞𝗲𝘆 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝘀: ────────────────────────────── ✅ QA/QC documentation ensures traceability, transparency & trust. ✅ Each stage of fabrication has its own documentation trail. ✅ Proper documentation = zero confusion during audits. #QualityDocumentation #QAQC #QADocuments #InspectionEngineer #FabricationIndustry #ISO9001 #QualityManagement #ProjectQuality #QualityControl #QCEngineer #QualityAssurance #EngineeringDocumentation #Fabrication #WeldingInspection #NDT #PaintingInspection #ConstructionQuality #ManufacturingQuality #IndustrialInspection #MechanicalEngineering #StructuralFabrication #PressureVessel #PipelineInspection #ThirdPartyInspection #QualityEngineer #QAQCProfessional #QMS #AuditReadiness #ProcessImprovement #QualityLeadership #NonDestructiveTesting #WeldingQuality #ISOStandards #QualityCulture #EngineeringProjects #FabricationShop #WeldInspector #InspectionReports #MTC #DocumentationExcellence #ContinuousImprovement

✅ Good Design Must Be Proven — Not Just Modeled In previous posts, I talked about how CAD isn’t design, and how real design equals CAD + thinking + experience. But even the smartest design means nothing if it’s not validated — and communicated. Here’s how great engineers close the loop between design and delivery: ⸻ 🔍 1. Validate the Design — Beyond the 3D Model A nice model is not enough. A real design must prove it works. 🧠 Functional calculations (static, thermal, fatigue, tolerancing…) 🖥️ Simulation tools (FEA, CFD, motion analysis) 🧪 Physical prototyping and testing (because reality always surprises you) ⸻ 📐 2. Document Clearly No matter how brilliant your concept, it’s useless if no one else can build it. 🔹 Functional drawings with tolerances 🔹 Assembly diagrams and exploded views 🔹 Full and clean Bill of Materials (BOM) 🔹 Specifications for materials, finishes, and coatings ⸻ 🗣️ 3. Communicate With All Stakeholders A design is never used alone — so speak the right language: 🔧 For manufacturers: be precise and realistic 📦 For supply chain: give specs and constraints 🧑💼 For clients: highlight value and use-case 📈 For QA & PM: explain your intent and risks ⸻ 🔁 4. Use Feedback — Improve It Good design is iterative. Accept feedback from tests, production, or field use. The best products evolve — based on real performance, not assumptions. ⸻ 🧠 Bottom line: Great design is not just built — it’s proven, explained, and improved. #MechanicalDesign #DesignValidation #EngineeringCommunication #ProductDevelopment #FEA #CAD #TechnicalDrawing #EngineeringDocumentation #MechanicalEngineering #DesignProcess #DFM #Simulation #Prototyping

How AI Agents Are Solving One of Software Development's Oldest Problems ... documenting code 👉 Why Code Documentation Still Fails Imagine spending hours deciphering code with outdated or misleading comments. Despite advances in LLMs, automated documentation tools still struggle with three critical issues: - Missing essentials: Skipping parameters, return values, or edge cases - Shallow context: Failing to explain "why" code exists versus just "what" it does - Factual errors: Hallucinating non-existent methods or dependencies Traditional approaches treat documentation as a single-step task. But human developers don’t work that way – we research dependencies, verify details, and iterate. 👉 What Changes with DocAgent A new system from Meta AI introduces collaborative AI agents that mirror human workflows: - Navigator: Maps code dependencies like a senior engineer reviewing architecture - Specialist agents:  - Reader identifies needed context  - Searcher retrieves internal/external references  - Writer drafts documentation  - Verifier checks accuracy - Orchestrator: Manages iterative refinement This multi-stage process ensures components are documented "after" their dependencies – like building a house floor-by-floor rather than room-by-room. 👉 How It Works in Practice 1. Topological sorting: Processes code in dependency order to prevent context overload 2. Context-aware generation:   * Internal tool analyzes call hierarchies   * External queries explain domain-specific concepts 3. Self-correction loop: Agents debate and refine drafts until meeting quality thresholds The system scored 94% completeness (vs 81% for GPT-4) and 95% factual accuracy in tests, while reducing hallucinations by 34% compared to standard LLM approaches. 👉 Key Insight Documentation quality isn’t just about better language models – it’s about structuring the "process". By breaking the task into specialized roles and enforcing logical processing order, DocAgent demonstrates how AI systems can tackle complex engineering workflows that require precision and context management. For developers: Could this shift how we maintain legacy systems? For AI researchers: What other engineering tasks could benefit from multi-agent process design?

Your code should explain what it does. Your docs should explain why it exists. If you're writing comments that describe what the code does, you're fixing the wrong problem. The code should be clear enough that it doesn't need explanation. Good variable names beat comments. A well-named function beats a paragraph explaining what it does. But here's what code can't tell you: Why you chose this approach over the alternatives. The code shows the solution. It doesn't show the three other approaches you tried that didn't work. What tradeoffs you made. "We're using polling instead of webhooks" is visible in the code. "We chose polling because the third-party API has unreliable webhook delivery" isn't. What constraints shaped the decision. The code shows a simple implementation. It doesn't show that you kept it simple because the team is small and complex would slow everyone down. I've seen engineers spend hours trying to understand why code is "wrong" when it was actually right given constraints they didn't know about. The worst documentation I've seen: Comments that repeat the code. The best documentation I've seen: Three sentences explaining why this approach, not that approach. Document decisions, not implementations. The code will change. The reasoning behind it shouldn't disappear. If future-you can't remember why you built it this way, future-someone-else definitely won't figure it out. How do you decide what's worth documenting? #SoftwareEngineering #TechnicalWriting #EngineeringLeadership