Most people in Tech space are still in denial stage. Ai has totally changed & transformed the entire ecosystem of business application & productivity tools development. We are in a new dawn where so many applications will be rendered obsolete. The next 2-3 years will be crazy.
Nyakundi, you don't get it. You’re out here building flashy websites and demos with tools like Lovable, Codex, or Claude, watching the UI pop up in minutes, and declaring that AI now “codes better than humans.” The machine is boiling, the hype is real, and suddenly software engineering is “over but not over.” I see the excitement , it’s genuinely impressive what these tools can spit out from a prompt. But brother, you’re missing the forest for the shiny, AI-generated trees.
Software development has never been, and never will be, just about cranking out code that looks good in a demo.
Let’s be brutally honest: what you (and many others) are celebrating is the first 20–30% of the work , the vibe-coded prototype, the slick frontend, the quick CRUD app that feels magical in isolation. Lovable and similar tools excel at that because they remix publicly available patterns, libraries, and code that’s been on GitHub, Stack Overflow, and blogs for years. The underlying models were trained on human work. They’re not inventing new paradigms; they’re accelerating the commoditized, repetitive parts.
OpenAI, Anthropic, and the rest aren’t doubling down on massive hiring cuts , they’re hiring more engineers than ever. That alone should tell you something. If AI truly replaced coders, these companies would be shedding staff, not expanding.
One of the most frustrating narratives is that experienced software engineers are “gatekeeping” the field. We’re not. You can write your slop. Go ahead , prompt Lovable or Codex to build whatever flashy site or mini-app you want. Ship it. Host it. Call yourself a builder. No one is stopping you, and the barrier to entry has never been lower. That’s a good thing for experimentation and MVPs.
But software engineering is not the same as generating code. It’s a discipline that goes far beyond typing syntax or assembling components. Reducing it to “writing code” is like saying architecture is just drawing pretty buildings or surgery is just cutting with a scalpel. The real work happens in the invisible layers that determine whether your creation survives contact with real users, real data, real scale, and real time.
Actual software engineering requires deep requirements understanding and constant trade-off decisions. Stakeholders rarely know what they truly need. Engineers translate vague ideas into precise, feasible systems while balancing cost, performance, security, and long-term maintainability. AI follows your prompt literally. It doesn’t push back on bad ideas or surface missing edge cases.
It requires system architecture and scalability thinking. A flashy single-user demo is trivial. Handling thousands or millions of concurrent users, distributed databases, caching layers, microservices, eventual consistency, and fault tolerance is where things get hard. AI-generated code routinely produces inefficient, monolithic, or poorly indexed structures that collapse under real load.
It requires security and compliance awareness. Injection attacks, authentication flaws, encryption, rate limiting, GDPR and CCPA compliance, audit logs , one overlooked detail and you’re leaking user data or facing lawsuits. AI code optimizes for “working” over “secure,” which is why it so often introduces subtle, dangerous vulnerabilities.
And it requires testing, debugging, and operational reliability. Writing tests isn’t glamorous, but it’s what prevents production fires. Real debugging of complex systems demands understanding why something failed across layers and time. AI frequently hallucinates fixes or creates opaque, fragile code that no one can reason about when things go wrong.
From your fave Tseikuru Beekeeper
Kali Kimanzi
PERES TAKES IT 🏆
🇰🇪's Peres Jepchirchir wins the women's marathon in 2:24:43 after a fierce battle with 🇪🇹's Tigst Assefa right to the finish line 🔥
🇺🇾's Julia Paternain comes in third with 2:27:23 without having realised that she had crossed the finish line 😱
#WorldAthleticsChamps
Female Track Athlete of the Year nominee ✨
Repost to vote for Faith Kipyegon 🇰🇪 in the #AthleticsAwards.
Voting closes on Sunday 27 October at 11:59 PM CEST.
@Kimuzi_ You guys now have a false sense of distorted reality. Letting the likes of wanjigis, Jacob juma,Tony and other frauds be your source of truth & role models? The original idea is now lost because it lacks credibility and integrity. What a waste of a good idea.
@RobertAlai 😅It's now full cycle with these leader less, tribe less Gen Z. Their role model are the likes of Jacob juma, wanjigis, Tony & other frauds. The whole generation is lost, confused with no vision of what they want.
The Gen Z are all over the place. Fighting each other. With no direction, from their space it looks like it's only the chosen few in diaspora calling the shots. Those guys should fly in and join the demonstrations. #RejectFinanceBill2024
WORLD RECORD
🇰🇪's Faith Kipyegon obliterates the world record in the mile by more than 5️⃣ seconds with 4️⃣:0️⃣7️⃣.6️⃣4️⃣
That's her 3️⃣rd world record in less than 2️⃣ months. It's Faith's world and we're just living in it 🤩
#DiamondLeague