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prompt engineering
Trends
- 1
A widely shared essay argues that software-as-a-service companies will ultimately be reduced to a thin 'harness' wrapped around a large AI model, with the model itself providing the core value that products once delivered. The piece is fueling debate among founders and engineers about whether traditional SaaS moats can survive as AI capabilities absorb more of the product layer.
- 2
Developer educator Matt Pocock has published a GitHub repository called 'skills', described as 'Skills for Real Engineers. Straight from my .agents directory.' The collection of shell-based files is aimed at engineers using AI coding agents, and it is drawing attention on GitHub's trending list.
- 3Robin Winters republishes Kinematics Lab Part II on iOS development●By Robin Winters · First published July 30, 2026 · Republished October 2, 2026 Original LinkedIn... # ios # swift # heal
A technical article by Robin Winters, first published on July 30, 2026 and republished on October 2, 2026, is circulating among developers. Titled 'Kinematics Lab Part II: You Don't Need Another...', it focuses on iOS and Swift development with an emphasis on health-related software architecture, engineering practice, and inclusive community discussions.
- 4Electrification means the world will need less energy●Electrification efficiency: The world will need less energy after the transition
Analysis by researcher Hannah Ritchie argues that switching from fossil fuels to electric systems will make the global energy system far more efficient, so total primary energy demand could fall after the transition. Electric motors, heat pumps and EVs waste far less energy than combustion engines and fossil power plants, which lose most of their fuel as heat. The piece challenges the assumption that a decarbonised world requires more energy overall.
- 5Former SR-71 engineer discusses NASA's Blackbird revival program●Former SR-71 engineer talks NASA's Blackbird revival program
A former SR-71 Blackbird engineer has spoken about a NASA program to revive the legendary Mach 3 reconnaissance aircraft, describing efforts to bring the iconic Blackbird back to flight status. The remarks have drawn attention from aviation enthusiasts and engineers recalling the aircraft's record-setting speed and Cold War-era spy missions, and prompting debate over whether a revival is practical.
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A debate is underway among software developers over whether AI coding agents should continue to rely on unit tests. Some engineers argue automated test suites slow down AI-driven development, while others warn dropping them risks shipping buggy, unverified code. The dispute highlights growing uncertainty over how traditional software engineering practices should adapt as AI agents increasingly write and maintain code.
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Issey Miyake and Givenchy are being framed together as houses where fashion, art and science intersect, according to The Business of Fashion. The comparison highlights how the Japanese label's experimental materials and engineering-driven design ethos can be read alongside Givenchy's couture tradition. The piece invites readers to consider fashion as a technical discipline as much as a creative one.
- 8F1 2026's most confusing Friday leaves teams with questions▼What we really learned from F1 2026's most confusing Friday
Formula 1's first Friday running of the 2026 season has left paddock observers struggling to read the true competitive picture, with The Race analysing what can actually be concluded from the most confusing practice day of the new campaign. Under the brand-new engine and aerodynamic rules, times and form appear unreliable, leaving teams and fans uncertain about the real pecking order.
- 9Prompt engineering teacher says success comes down to three sentences●I Built a 7-Figure Business Teaching People How to Engineer AI Prompts. My Advice Usually Boils Down to 3 Sentences.
An entrepreneur who runs a seven-figure business teaching AI prompt engineering says their core advice fits into just three sentences. The piece, published on Entrepreneur, describes how prompting skills have become a marketable business as companies and individuals rush to get better results from tools like ChatGPT. The article's central claim is that effective prompting relies on a small set of simple principles rather than complex techniques, a message likely to interest professionals trying to use AI more effectively at work.
- 10Gas Vehicle Sales May Have Fallen Below Half of US Market▼Did Gas Vehicle Sales Just Dip Below 50% For The First Time?
Reports are asking whether sales of gasoline-powered vehicles have dropped below 50% for the first time, a milestone that would mark a major shift toward electric and hybrid cars. The claim comes from an Investor's Business Daily headline, which has prompted discussion about how quickly buyers are moving away from traditional combustion engines and what it means for automakers.
- 11
Climate technology companies are adjusting their positioning and business strategies, according to Chemical & Engineering News. The sector is reframing how it presents itself and pivoting amid shifting market and political conditions, with firms rethinking products, messaging and funding approaches. Coverage of these strategic shifts is drawing attention across the climate and clean-energy communities.
- 12Aerospace community mourns influential mentor Calvin▼Calvin's role as a mentor and teacher to a generation of # aerospace # engineersengineers cannot be overstated. # NASA i
Tributes are being paid to Calvin, described as a mentor and teacher whose influence on a generation of aerospace engineers is said to be impossible to overstate. According to Mississippi State University, NASA is described as packed with his students and friends, and other aircraft and rocket organisations are believed to be similarly full of people he taught and inspired.
- 13Developers Debate Migrating Pandas Pipelines to Polars●I have seen migration discussions start with a speed comparison. The harder question for an... # opensource # showdev #
Open-source developers are weighing whether to move data pipelines from Pandas to Polars, a faster dataframe library. Discussion often begins with speed benchmarks, but engineers argue the harder question is correctness: verifying a pipeline produces identical results before switching. The debate touches on performance, testing discipline and how communities adopt newer tools in data engineering.
- 14
Software developers are debating whether traditional unit testing still makes sense as AI tools increasingly write code. Some teams say they are cutting back on unit tests, arguing AI-assisted development shifts the focus to higher-level verification, while critics warn that removing tests invites regressions and fragile software. The discussion has reignited a wider argument about how engineering quality practices should evolve as AI-generated code becomes standard across the industry.
- 15Colossal Biosciences bets promptable biology arrives in 10 years▼Colossal bets promptable biology lands in 10 years
Colossal Biosciences, the de-extinction company, says promptable biology — the ability to direct biological systems much like prompting software — will become practical within a decade. The claim frames its genetic engineering and species-revival work as a step toward programmable life sciences. Reaction so far is limited, with no independent assessment of the timeline available.
- 16Nobel laureate physicist Anthony 'Tony' Leggett remembered●Remembering Nobel laureate and Grainger physicist Anthony J. ‘Tony’ Leggett
Tributes are being paid to Anthony J. 'Tony' Leggett, the Nobel Prize-winning physicist long associated with the University of Illinois at Urbana-Champaign's Grainger College of Engineering. Leggett won the 2003 Nobel Prize in Physics for pioneering work on superfluidity in helium-3. Colleagues and the university community are honouring his scientific legacy.
- 17Engineer implements KV cache in custom GPT to learn prompt caching●いくら艦長とはいえ、charについてはただ見守るしかないかもしれません 自作GPTにKVキャッシュを実装し、プロンプトキャッシュの仕組みを学んだ - $shibayu36->blog; https:// blog.shibayu36.org
Japanese software engineer shibayu36 has published a blog post describing how he implemented a KV cache in his self-built GPT model, using the exercise to learn how prompt caching works in large language model inference. The writeup walks through the mechanics of caching attention key-value pairs to speed up generation. It is being shared among developers interested in LLM internals and practical implementations of transformer optimization techniques.
Repos
- rohitg00/ai-engineering-from-scratch Learn it. Build it. Ship it for others.