A personal assisant for eveyrone to keep track goals daily activty bsaed on the prefence suggest and tracking same we can do for office keep of works task bugs spec product goal etc..
When you are in CEO, CTO dont expect always 100% from everyone
Writing test after code implementation using agent is not good because the test are written based on code not feature or other things so we need to write detail test case before writing the code.
Attach story when you want to convey somethingto your team
Yoav Abrahami, CTO at Wix Enterprise, introduces the Design-Log Methodology, a strategy for using AI as an architectural partner rather than just a code generator. He argues that developers often hit a ‘Context Wall’ where AI loses track of project history, leading to inefficiency.
Key Takeaways:
- The Design-Log Concept: Instead of using fleeting prompts, maintain a version-controlled folder of markdown documents . These documents serve as an immutable history of project decisions, capturing the why and how behind features, rather than just acting as static documentation .
The Workflow:
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Plan & Review: The AI reads the relevant design logs and proposes a plan. Crucially, the developer requires the AI to ask questions and challenge the assumptions to refine the plan before implementation begins .
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Traceability: Any bugs or deviations encountered during development are appended to the design log, keeping the ‘brain’ of the project current .
Performance Impact: Abrahami reports that this approach has made him 12.7 times faster than his previous workflow while maintaining high code quality and deep understanding of the implementation.
- Why ‘Plan Mode’ is Insufficient: The speaker asserts that ‘plan mode’ is often suited for waterfall development and lacks the iterative feedback loops found in the Design-Log approach, which helps identify overly complex or flawed architectures before they are built.
Abrahami concludes by emphasizing that this methodology allows developers to manage context effectively, moving from giving instructions to having an active, collaborative dialogue with AI.