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Technical Writing for Software Engineers – A Handbook

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Technical Writing for Software Engineers – A Handbook

About a month ago, I published a short essay on why engineers should focus on writing [0]. I've got very good feedback on that essay, and decided to compile all my knowledge and mistakes, about technical writing, into a short handbook. The purpose of this handbook, is to introduce engineers into technical writing through examples of 3 different technical documents: Design Review, Runbook, and General Technical Documents. For me, technical writing was one of the biggest boosts to my career. After being a good senior software engineer, the next boost I needed to become Tech Lead (and get on a path to become an architect)—was technical writing. I hope that my experience will help fellow engineers to improve their technical writing skills, and take their career to the next level. You can find more about the book on my blog[1], and purchase it on Gumroad[2] (there are some early bird copies left). Thank you! [0] https://www.yieldcode.blog/post/why-engineers-should-write/ [1] https://www.yieldcode.blog/book/technical-writing-for-softwa... [2] https://kudmitry.gumroad.com/l/technical-writing-for-softwar...

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Indie HackersFits the IH revenue-focused audience · Strong signals: mistakes · Missing: supports, reddit linkedin, podcasting
72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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