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Dat Bike teams up with Japan’s FCC in US$22M Series B round

Dat Bike, a leading electric motorbike startup in Vietnam, has closed a US$22 million Series B funding round, bringing its total capital to US$47 million.

The new round was led by Japanese manufacturing giant FCC and Japan/Singapore-based Rebright Partners. Existing and new investors, including Jungle Ventures, Cathay Venture (the investment arm of Taiwan’s largest financial holding company with over US$400 billion in total assets), and AiViet Venture (a Vietnamese firm backed by industry leaders from major tech and finance companies), also joined.

Also Read: Thinking out loud: Are electric vehicles as sustainable as we believe?

The capital will be strategically deployed to scale manufacturing capacity through facility expansion, advanced tooling, and automation to “meet soaring demand”. A significant portion will bolster ongoing R&D efforts to advance core technologies and diversify its product portfolio with next-generation electric motorbikes.

Furthermore, Dat Bike plans to enhance its online and offline retail networks and customer service infrastructure for a more seamless and personalised customer experience. Crucially, the company will deepen partnerships with ride-hailing platforms and financing providers.

In addition, Dat Bike has formed a strategic partnership with FCC, a global leader in motorcycle clutches with 22 production facilities across 10 countries.

Vietnam’s electric two-wheel sector braces for a monumental shift, propelled by substantial government support for green mobility and a global decarbonisation agenda. For example, Hanoi plans to ban all fossil fuel-powered motorbikes from its inner-city, slated for July 2026. This will create an impetus for EV adoption and a lucrative opportunity for players like Dat Bike, whose vision is to drive mass adoption of green transportation and transform Vietnam’s vehicle market from petrol to electric.

Founded in 2019 by Son Nguyen, a software engineer from Silicon Valley, Dat Bike boasts a robust domestic supply chain encompassing everything from chassis and plastic fairings to motor controllers, battery packs, and the full software stack.

This localised approach grants Dat Bike tighter control over quality and costs, enabling the delivery of superior performance at an affordable price. It is crucial for direct competition with traditional internal combustion engine (ICE) motorbikes.

The company’s manufacturing capacity has already expanded five times in 2024, and its 3S network covers major cities nationwide. Further expansion is planned.

Also Read: Is India on the verge of shifting gears to EVs?

Son Nguyen, CEO of Dat Bike, said, “Our strong product focus and deep integration with the local supply chain enable us to continuously innovate and build bikes that rival internal combustion engine (ICE) motorcycles in both performance and range. This principle is the foundation for developing Vietnam’s EV ecosystem and driving the broader transformation of mobility across Southeast Asia.”

In 2023, Dat Bike secured US$8 million funding round led by Singapore-based Jungle Ventures, with GSR Ventures, Delivery Hero Ventures, Wavemaker Partners, and Innoven Capital participating. A year earlier, the EV company bagged US$5.3 million in Series A funding led by Jungle Ventures with participation from Wavemaker Partners.

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Liquidity dreams meet reality: How the Fed’s 25-basis-point cut is (and isn’t) changing everything

Global risk sentiment demonstrated resilience on Thursday, September 18, following the Federal Reserve’s anticipated 25 basis point reduction in its benchmark interest rate during the FOMC meeting that concluded the previous day. The decision passed with an 11-1 vote, a move that aligned with market expectations amid signs of a softening labour market in the US. Investors absorbed the news without much disruption, as the central bank navigated a delicate balance between supporting economic growth and guarding against persistent inflation pressures.

This adjustment brought the federal funds rate target range down to 4.00 per cent to 4.25 per cent, marking the first cut in the current easing cycle. The lone dissenter, Stephen Miran, whom President Donald Trump recently appointed to the Federal Reserve Board, pushed for a more aggressive 50 basis point reduction instead. Miran’s position reflected a bolder approach to monetary policy, one that prioritised quicker stimulus to bolster employment and consumer spending in the face of recent job market weaknesses, such as the unemployment rate ticking up to 4.2 per cent in August data released earlier in the month. His vote highlighted internal divisions within the Fed, particularly as Trump’s influence shapes the board’s composition with appointees who favour looser policy to align with the administration’s pro-growth agenda.

Fed Chair Jerome Powell addressed the media in a press conference after the announcement, and his remarks carried a subtly hawkish undertone that tempered immediate enthusiasm for further easing. Powell emphasised the economy’s underlying strength, pointing to robust consumer spending and a solid corporate sector as reasons to proceed cautiously with rate adjustments. He avoided committing to a rapid series of cuts, instead stressing the need for data-dependent decisions amid uncertainties like potential trade tariffs and geopolitical tensions. This stance contrasted with more dovish expectations from some analysts who anticipated a clearer path toward sub-3 per cent rates by mid-2026. The Fed’s updated economic projections reinforced this measured approach, forecasting two additional quarter-point cuts by the end of 2025 and just one more in 2026, a trajectory that fell short of the market’s hopes for deeper relief.

Participants in the Summary of Economic Projections median outlook saw the federal funds rate ending 2025 at 3.875 per cent, with inflation projected to hover around 2.5 per cent, slightly above the central bank’s long-term target. In my view, Powell’s comments serve as a prudent reminder that the Fed prioritises stability over knee-jerk reactions, even if it disappoints those betting on aggressive easing to fuel asset rallies. This hawkish lean could cap upside in equities and commodities in the near term, but it also prevents the kind of overheated markets that led to past bubbles.

Also Read: From MoU to action: How e27’s partnership with NTT Holdings is bridging Southeast Asia’s innovation gap

Wall Street wrapped up trading on Wednesday, September 17, with a mixed performance that reflected the nuanced Fed outcome. The Dow Jones Industrial Average climbed 0.57 per cent, buoyed by gains in cyclical sectors like industrials and financials that stand to benefit from lower borrowing costs. In contrast, the S&P 500 dipped 0.10 per cent, while the Nasdaq Composite shed 0.33 per cent, dragged down by technology stocks sensitive to interest rate shifts.

Big tech names such as Apple and Nvidia posted modest declines, as investors rotated out of high-valuation growth plays toward value-oriented sectors. This rotation underscores a broader market dynamic where the Fed’s tempered guidance prompted a reassessment of risk premiums, with the VIX volatility index easing slightly to 15.2, indicating subdued fear levels. Overall, the session’s close suggested that while the rate cut provided a tailwind, Powell’s hawkish signals introduced caution, preventing a broad rally.

US Treasury yields moved higher on Wednesday, signalling that bond investors viewed the Fed’s path as less accommodative than hoped. The 10-year Treasury yield rose four basis points to settle at 4.07 per cent, while the two-year yield also increased by four basis points to 3.54 per cent. This uptick flattened the yield curve slightly, with the spread between the 10-year and two-year notes narrowing to 0.53 percentage points, a level that hints at lingering concerns over future growth without aggressive policy support. Higher yields typically pressure equities by raising the cost of capital, but they also attract foreign inflows to US debt, bolstering the dollar. In this context, the modest rise appears justified, as it aligns with the Fed’s projection of slower rate convergence to neutral levels.

The US dollar index advanced 0.25 per cent to 96.87, gaining ground against a basket of major currencies as the Fed’s decision reinforced the relative strength of the American economy. The dollar’s uptick came despite the rate cut, driven by expectations of shallower easing compared to peers like the European Central Bank, which has signalled more cuts ahead. This resilience in the greenback could weigh on exporters and emerging markets, but it also curbs imported inflation, giving the Fed more room to manoeuvre.

Also Read: Dat Bike teams up with Japan’s FCC in US$22M Series B round

Gold prices pulled back 0.2 per cent to US$3,681.39 per ounce after touching a record high earlier in the session, as the dollar’s strength and higher yields diminished the metal’s appeal as a safe-haven asset. Despite the retreat, gold has surged over 40 per cent year-to-date, fueled by central bank purchases and geopolitical risks. The Fed cut typically supports non-yielding assets like gold by improving liquidity, but Powell’s cautious tone introduced profit-taking. I see gold’s pullback as temporary, with its long-term bullish case intact given ongoing uncertainties around elections and trade policies.

Asian equities showed strength on Wednesday, rallying on anticipation of the Fed’s rate cut, with Hong Kong’s Hang Seng Index leading the charge by jumping 1.78 per cent to its highest level since November 2021. This surge is tied directly to Chief Executive John Lee’s policy address, where he outlined ambitious initiatives to invigorate the economy. Lee pledged enhanced support for artificial intelligence development through tax incentives and R&D funding, alongside measures to stabilise the property sector via relaxed stamp duties and increased land supply targets for the next decade. He also accelerated plans for the Northern Metropolis project, aiming to create a tech hub with improved infrastructure and talent attraction programs. These announcements addressed key pain points like high housing costs and sluggish innovation, boosting investor confidence in Hong Kong’s post-pandemic recovery. Mainland Chinese stocks followed suit, with the CSI 300 up 1.2 per cent, while Japan’s Nikkei 225 gained 0.8 per cent on export optimism.

In early trading on September 18, Asian markets traded mixed, with some profit-taking after the prior day’s gains. Tokyo’s Nikkei edged up 0.6 per cent to a fresh record, driven by real estate and tech advances, while Shanghai Composite held flat amid caution over US-China trade rhetoric. Hong Kong’s HSI dipped 0.3 per cent initially, consolidating after the policy boost. US equity index futures pointed to a higher open, with S&P 500 contracts up 0.4 per cent and Nasdaq futures rising 0.5 per cent, signalling renewed risk appetite as traders digested the Fed’s move.

The cryptocurrency market climbed 0.97 per cent over the last 24 hours, extending a seven-day uptrend of 3.56 per cent, as institutional interest and macroeconomic tailwinds propelled digital assets higher. Bitcoin hovered around US$96,000, while Ethereum pushed toward US$4,000, reflecting a risk-on rotation that favoured altcoins amid Fed rate cut optimism. Surging inflows into exchange-traded funds played a pivotal role, with Bitcoin and Ethereum ETFs absorbing US$642 million and US$405 million, respectively, this week, pushing combined holdings to substantial levels. The SEC’s approval of Grayscale’s multi-asset ETF further amplified sentiment, channelling regulated capital into the space and creating sustained demand that offsets typical sell pressures from miners or long-term holders.

Also Read: Terra Oleo emerges from stealth with US$3.1M to reinvent palm oil and cocoa

This institutional demand via ETFs carries profound bullish implications for crypto’s maturation. With Bitcoin ETF assets under management reaching US$152 billion and Ethereum’s at US$24.23 billion, these vehicles democratize access for traditional investors wary of direct wallet management. The week’s US$1.04 billion in combined inflows underscores a structural shift, where pensions and endowments allocate to crypto as a portfolio diversifier. Looking ahead, the September 17 FOMC meeting’s outcome could spark even more inflows if markets interpret the cuts as liquidity-enhancing. In my opinion, this trend solidifies crypto’s place in mainstream finance, reducing volatility over time and attracting trillions in eventual capital, though regulators must balance innovation with consumer protections to avoid setbacks.

Fed rate cut speculation added fuel to the crypto rally, with markets pricing a 96.4 per cent probability of the 25 basis point move via tools like Goldman Sachs’ models and the CME FedWatch. Traders anticipate a US$1.9 trillion liquidity injection across the system, correlating strongly with crypto’s performance, as evidenced by the 0.78 correlation coefficient with the Nasdaq-100 over the past day. Lower rates diminish the opportunity cost of holding high-volatility assets like Bitcoin, while a softer dollar historically boosts crypto prices by making them cheaper for international buyers. Past cycles show Bitcoin gaining an average of 25 per cent in the month following initial Fed cuts, a pattern that aligns with current dynamics. However, the hawkish elements in Powell’s speech introduce risks; if future meetings signal pauses, crypto could face sharp corrections. I view this as a net positive for the sector, as easier money encourages speculative flows, but investors should brace for amplified swings tied to macro news.

The acceleration of altcoin season presents a mixed bag, with the Altcoin Season Index climbing to 72, up 10.77 per cent weekly, indicating alts outperforming Bitcoin. Ethereum led with a 5.63 per cent gain, Solana surged 57 per cent on DeFi momentum, and BNB rose 10.8 per cent amid exchange ecosystem growth. Decentralised exchange volumes jumped 25.11 per cent, as capital rotated away from Bitcoin, whose dominance slipped to 56.91 per cent. This shift signals broadening market participation, with low-cap tokens drawing retail frenzy.

Also Read: The Fed at the crossroads: Rate cuts, political pressure, and the fragile balance of global markets

The rally’s fragility shines through in its reliance on liquidity; a hawkish Fed pivot or regulatory crackdown could reverse gains swiftly, especially for speculative alts lacking fundamentals. Derivatives activity amplified the move, with perpetuals volume hitting US$434.48 trillion, up 8.61 per cent, and funding rates spiking 91.68 per cent, pointing to leveraged exuberance. From my perspective, altseason fosters innovation in areas like AI-blockchain integrations and layer-2 scaling, but it also breeds excess. Prudent investors should focus on established alts with real utility, like Ethereum’s staking yields or Solana’s speed, rather than chasing memes, to navigate the volatility inherent in this phase.

In wrapping up this market panorama, global assets exhibit cautious optimism post-Fed, with equities poised for gains, commodities consolidating, and crypto thriving on institutional bets. The interplay of central bank actions and policy initiatives, from Washington’s rate path to Hong Kong’s reforms, shapes a landscape ripe for opportunity yet laced with uncertainties.

As a journalist tracking these flows, I remain bullish on risk assets over the longer horizon, convinced that easing cycles historically reward patient capital, but I urge vigilance against overextension in the face of evolving Fed rhetoric and geopolitical crosswinds. This week’s developments affirm that while the Fed’s hand guides the market, diverse catalysts like ETF momentum and regional policies add layers of complexity to the narrative.

Image Credit: Alexander Grey on Unsplash

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GoTo secures US$281M loan to strengthen balance sheet, fuel growth


GoTo has secured a new four-year term loan facility totalling Rp4.65 trillion (~US$281 million).

This financial boost will bolster the Indonesian tech behemoth’s financial standing, facilitating the repayment of an existing loan and providing substantial capital for future growth initiatives and working capital requirements.

The new facility sees DBS Indonesia and United Overseas Bank acting as the mandated lead arrangers.

Also Read: Behind GoTo’s record Q2: The fine print tells a different story

A portion of the proceeds will be allocated to settle the outstanding amount from GoTo’s previous facility, which stood at Rp467 billion (US$28.2 million) as of June 2025. The remaining funds are designated for general corporate purposes, including investments that will drive the company’s ongoing expansion.

GoTo CFO Simon Ho stated: “This new facility strengthens our financial position and provides us with increased flexibility to support our ecosystem’s continued growth and efficiency.”

Banking partners highlighted the strategic importance of this collaboration within Indonesia’s dynamic digital economy. Anthonius Sehonamin, Head of Institutional Banking Group, DBS Indonesia, remarked: “This collaboration reflects our role as a trusted partner for business growth, providing innovative financial solutions that empower Indonesia’s digital economy. Together, we aim to unlock new opportunities that not only strengthen GoTo’s ventures but also create broader value for communities and the nation’s future economy.”

Harapman Kasan, Wholesale Banking Director, UOB Indonesia, noted: “Beyond providing access to capital, UOB seeks to work with our clients in strengthening their foundations for growth and resilience in an evolving economic landscape. We bring regional perspective and cross-border capabilities that allow us to partner our clients in contributing to sustainable progress for Indonesia’s economy.”

GoTo, the largest digital ecosystem in Indonesia, operates with a mission to ’empower progress’ through a robust technology infrastructure. Its ecosystem encompasses mobility, delivery, payments, financial services, and technology solutions for merchants, alongside e-commerce services via Tokopedia and banking services through its collaboration with Bank Jago.

Also Read: GoTo Group sees four top executives resign ahead of AGMS

GoTo Group recently announced its second-quarter 2025 financial results. The firm highlighted that its Group adjusted EBITDA reached US$25.8 million (Rp427 billion) and was positive for the third consecutive quarter. Group EBITDA also turned positive, reaching US$17.65 million (Rp292 billion). These achievements were attributed mainly to “stronger revenue performance and better cost management”.

The company also reported positive adjusted operating cash flow of US$18.9 million (Rp313 billion).

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Singapore hit by 6.4M cyberattacks in 2024 as AI supercharges threats

Singapore is grappling with an unprecedented barrage of cyberattacks, with more than 6.4 million incidents detected in 2024 alone, a figure continuing its alarming climb this year.

Cybersecurity firm Kaspersky warns that artificial intelligence (AI) is significantly amplifying these threats, enabling cybercriminals to launch “stealthier and less predictable” campaigns across the highly digitalised hub and the wider Asia Pacific (APAC) region.

Also Read: Crypto crime has a map: Where victims—and losses—are concentrated in 2025

New research from Kaspersky reveals that its solutions intercepted a staggering 6,487,624 cyberattacks from various online resources in Singapore during 2024. This alarming tally included over 340,000 exploit-based attacks, 63,400 involving password stealers, and 82,742 attacks utilising backdoors, with these numbers continuing their upward trajectory into 2025.

The escalating crisis is not confined to Singapore, with incident response requests across the Asia Pacific more than doubling, jumping from 3.6 per cent to 7.3 per cent.

Kaspersky’s data shows it blocked over 62 million attacks from online sources regionally, including more than 16.6 million backdoor attacks and 219,000 banking malware incidents. Critically, over 8 million ransomware attacks were intercepted, accounting for approximately 55 per cent of the global total of 14.5 million, underscoring its widespread prevalence in the region.

Cyberthreat sophistication and intensity are surging in tandem with technological advancements. In 2024, an astonishing 467,000 new malicious samples were detected daily, starkly contrasting the single new threat sample per second recorded in 2011. This trajectory persists into 2025.

The rapid evolution of AI is a primary driver behind this surge, allowing attackers to craft highly convincing, large-volume phishing campaigns using large language models. AI-driven bots are also being deployed to impersonate real users, engaging victims in prolonged conversations through AI-generated text, audio, or video for elaborate scam operations.

Furthermore, AI is actively assisting in malware development, including the creation of malicious code, and automating cybercriminal activities, thereby bolstering attack volume and reach.

A prime example of this AI-driven threat is the emerging APAC-based ransomware group, FunkSec. Despite being active for less than a year, FunkSec has rapidly outpaced many established cybercriminals. The group targets the government, technology, finance, and education sectors, deploying malware developed with AI technologies. This advanced capability allows FunkSec to disable over 50 processes on victim machines and equips its malware with self-cleanup features.

These ransomware attacks are particularly concerning given that the APAC region accounts for most such cases worldwide. With generative AI becoming increasingly accessible and sophisticated in 2025, a further intensification of these regional threats is anticipated.

Igor Kuznetsov, Director of the Global Research and Analysis Team at Kaspersky, issued a stark warning: “We’re witnessing persistent increases in the volume of cyberattacks both in Singapore and regionally. These attacks are getting stealthier and less predictable, as cybercriminals leverage AI to enhance and invent new ways of executing their malicious campaigns.”

Also Read: Chainalysis mid-year report: How 2025 became the most dangerous year in crypto

Kuznetsov added, “As a highly digitalised, interconnected business hub, Singapore will continue to pose as a prime target for threat actors. It is hence imperative for individuals and organisations alike to invest in their cybersecurity defences to prevent debilitating data and financial losses.”

To mitigate these evolving threats, Kaspersky experts recommend individuals and businesses exercise caution. Key advice includes limiting the online sharing of sensitive details, verifying unsolicited messages, calls, or links, scrutinising videos for unnatural movements indicative of deepfakes, and only installing applications from official app stores.

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The curse of expertise: Why knowing too much can hold back developers in the AI age

We’ve all been there. You’ve spent years mastering the craft of coding—learning languages, perfecting algorithms, debugging with precision, and creating solutions that are nothing short of elegant. But now, AI-driven tools are everywhere, offering instant solutions and automating the parts of development you used to handle manually. So, what happens when you’ve learned too much? Is there a point where all that experience can actually hold you back?

As developers, especially those with years of experience, it can feel frustrating to see tools like GitHub Copilot or AI code assistants churn out code without you having to break a sweat. These tools make coding faster and easier, but for many senior developers, they might feel more like a threat to their expertise than an opportunity. But is that really the case?

In this article, I’ll explore how deep knowledge and expertise can sometimes become a barrier in today’s AI-driven world, and why striking the right balance between mastery and adaptability is key for staying competitive. Let’s dive into why knowing too much about traditional methods might be preventing some of us from embracing the tools that could make our jobs easier, faster, and more innovative.

The problem of mastery in a rapidly evolving field

In software development, the more you know, the better, right? It’s always been that way. Deep knowledge of coding languages, algorithms, and system design has been the cornerstone of the profession. But in the age of AI-driven tools and low-code platforms, that deep mastery can sometimes work against you. Developers who know too much about traditional methods might find themselves overthinking or resisting simpler, faster solutions that AI provides.

A 2020 study by IEEE Access found that experts, while highly skilled, often struggle to embrace novel technologies because their expertise creates a filter that limits their view. For instance, developers trained in old-school methods may be hesitant to trust AI tools that prioritise speed over precision, even when the results are effective. As AI-driven tools become more common, this resistance could hold developers back from using tools that would speed up workflows and boost productivity.

Dr. Andrew Ng, a leader in AI research, sums it up best: “AI is a tool for the future, not a threat to our knowledge.” Rather than replacing human expertise, AI tools are designed to augment it. But for many seasoned developers, it’s hard to let go of traditional practices, and that reluctance can stunt growth and innovation.

Also Read: Semiconductors at risk: The invisible threats that could break global supply chains

Resistance to change: Sticking to what works

Experienced developers have spent years perfecting their craft, solving complex problems, and building intricate systems. It’s no surprise, then, that they often resist the change AI tools bring to the table. After all, these tools can seem too simplistic, lacking the control and precision that comes with manual coding. But here’s the thing: that resistance to change can actually be a barrier to progress.

According to Forbes, many senior developers find AI tools “too simplistic” because they don’t align with their meticulous standards. This mindset, while understandable, keeps developers from integrating AI-powered tools like GitHub Copilot or GPT-based assistants that are designed to streamline tasks like code generation or bug fixing. Tools like GitHub Copilot can automatically generate code snippets or even suggest fixes, speeding up development without compromising quality.

Marissa Mayer, former CEO of Yahoo, captures this shift perfectly: “AI is a tool for the future, not a threat to our knowledge.” Rather than viewing AI as competition, developers should embrace it as a partner that handles routine tasks, allowing them to focus on the bigger picture—more creative, strategic decisions.

The risk of overcomplicating solutions

The challenge with deep expertise is the tendency to overcomplicate solutions. Developers who have honed their craft often focus on perfecting every line of code, aiming for efficiency and optimisation in every part of a project. But in today’s fast-paced environment, speed is often just as important, if not more so, than perfection.

A 2019 study by MIT Sloan Management Review found that experienced developers often over-engineer their solutions, spending excessive time optimising parts of a project that don’t necessarily need it. The focus on creating flawless systems can delay development, prevent experimentation, and ultimately block innovation.

In contrast, AI-driven tools promote rapid iteration and faster prototyping. They encourage developers to experiment, fail fast, and improve quickly. By automating tasks like code generation or bug fixing, developers are free to focus on more creative and high-level work areas where human intelligence still outshines AI.

Also Read: The AI divide in the workplace: What business leaders see and employees don’t

The balance between mastery and adaptability

While AI tools are great at boosting productivity, there’s still a need for human expertise, particularly in high-level decisions and system design. AI can handle repetitive tasks like code generation and bug fixing, but it lacks the strategic thinking that human developers bring to the table. According to a study from the Journal of Systems and Software, AI should be seen as a co-pilot, not a replacement. The key here is to find the right balance—one where developers combine their expertise with AI tools to speed up development without losing control over the more complex aspects.

AI can handle the tactical work—things like generating code, running tests, and even fixing bugs. But the developer remains in control of system architecture, security, and any other decisions that require insight beyond what AI can provide. Adapting to new tools doesn’t mean giving up your knowledge; it’s about integrating AI into your workflow and freeing up time for more strategic, creative tasks.

The emergence of a new development framework

Looking ahead, a hybrid approach will probably shape the future of software development—one that integrates traditional coding expertise with the power of AI tools. As Dr. Timnit Gebru, a leading AI researcher, states: “The future of AI is not humans versus machines. It’s humans working alongside machines to amplify our capabilities.” AI can handle routine tasks, but the real value lies in how developers and AI work together to create innovative solutions.

Also Read: High adoption, high rewards: AI could push regional e-commerce GMV past US$540B

In this new framework, developers will shift toward tasks that require creativity, system design, and high-level decision-making, while AI takes care of the repetitive and time-consuming work. The human-AI partnership will drive faster, more efficient development, where both the tools and the developer work in tandem to achieve better outcomes.

For example, at Spotify, engineers use AI to help streamline content moderation and recommendation systems, allowing developers to focus on creating more intuitive user experiences. This hybrid framework of combining AI with human creativity shows the true potential of what can be achieved when the two work in tandem.

Practical steps for adopting AI tools

For developers hesitant to embrace AI, starting small is key. Here’s how you can begin integrating AI into your workflow:

  • Experiment with code suggestions: Start by integrating tools like GitHub Copilot into non-critical projects. Let the AI assist in writing boilerplate code or fixing minor bugs. You’ll see how it improves productivity without diminishing your control.
  • Automate repetitive tasks: Use AI tools to handle routine tasks like code formatting, running unit tests, or identifying common coding errors. This allows you to free up mental space for more creative challenges.
  • Iterate quickly: Use AI-driven tools to prototype new ideas rapidly. AI can help you quickly generate code snippets and test new concepts, enabling you to experiment without spending too much time on perfecting every detail.

Embracing change without losing control

Knowing too much about traditional coding practices isn’t a curse; it’s an asset. But in the fast-evolving world of software development, adaptability is just as important as expertise. Developers who can combine their technical knowledge with AI tools will thrive in this new era.

The future of software development doesn’t involve abandoning old practices. Instead, it’s about integrating them with new technologies. By embracing AI tools for tasks like code generation and bug fixing, developers can focus on high-level decision-making and problem-solving, remaining competitive in the AI-powered world.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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