At AI conferences, Lag or Lead discussions are always present, highlighting the rapid rise of LLM-based services.

At AI conferences, Lag or Lead discussions are always present, highlighting the rapid rise of LLM-based services. While some remain cautious, AI-driven code generation is inevitable—my belief is we'll quickly move toward 95–100% AI-generated code, sooner than you think we'll have no human even reviewing it.

𝗕𝘂𝘁 𝘄𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁 𝗹𝗲𝗴𝗮𝗰𝘆 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲𝘀? 🤔 Most software houses live in brownfield environments—complex, undocumented, and full of technical debt. Many believe AI can't touch these systems. Yet, through POCs in the codebases I've seen firsthand that:

✅ 𝗔𝗜 𝗰𝗮𝗻 𝗿𝗲𝘄𝗿𝗶𝘁𝗲 𝗮𝗻𝗱 𝗺𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗲 𝗹𝗲𝗴𝗮𝗰𝘆 𝗰𝗼𝗱𝗲.

✅ 𝗟𝗮𝗿𝗴𝗲-𝘀𝗰𝗮𝗹𝗲 𝗿𝗲𝘄𝗿𝗶𝘁𝗲𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗿𝗲𝗮𝗹𝗶𝘀𝘁𝗶𝗰 𝘄𝗶𝘁𝗵 𝗔𝗜.

✅ 𝗧𝗵𝗲 𝗼𝗻𝗹𝘆 𝗯𝗮𝗿𝗿𝗶𝗲𝗿? 𝗨𝗽𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺𝘀.

💡 Lagging means losing. Startups and competitors won’t wait. Those who embrace AI now will deploy features orders of magnitude faster, leaving laggers behind.

🔗 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲

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