Const Ivanov

It's still too early to predict how the AI-assisted dust will settle, but a very safe bet is closing the traditional gap between static, annotated mockups and functional code. And perhaps eliminating the concept of a "handoff" entirely. Which, by the way, handoffs honestly aren't a far cry from days gone by of waterfall-esque, tossing work over the fence which we've oddly embraced as an acceptable way of working today. Vibe coding, context engineering, or [your preferred term] is poised to close the design-dev gap like we've never seen before. Josh King's comment on one of my recent posts sums this up nicely: "Recently my handoff wasn't a big annotated Figma file, but a github repo and URL." And while this still nods at the need for a handoff, as AI tooling improves we'll probably see designers and developers working in the same repo much earlier in the process than today. Rather than a handoff, a continual handshake instead. Trust me, I've tried to poke holes in this new way of working—not in the (flawed) tools themselves but the overall concept—and I can't see a path forward that's anything other than the industry galvanizing around killing the handoff. And I think that's largely a really good thing. — Josh's full comment: https://lnkd.in/eRq4UGDp #ai #design #vibecoding #contextengineering

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Thanks for the feedback after last week's post. A few of you tried the extension and sent ideas for what to add. v3.0 is out. The extension now runs a security check with a grade, flags what needs fixing, and lets you export the report in one click. Still free. Still local. No data collection. Update and tell me what else you need 😊

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We're demoing nTop's optimization framework on November 5th. This is what inverse design looks like and you can registration Here: https://lnkd.in/ebJP7md7 Our product team will show you how to set up multi-objective optimization, define design variables, and automatically explore tradespaces -- all directly in nTop. No export. No translation. No broken workflow. If you joined Parts 1 and 2 of our advanced aircraft design series, you saw how modeling and analysis in nTop lay the groundwork for rapid systematic exploration. Now you'll see how you plug requirements directly into your workflow and let the system find the optimal design. New programs are pushing the industry to deliver new systems at a rate and scale faster than ever. This is 18-month timelines instead of 7-year programs. Being able to meet requirements in a compressed design cycle is what wins programs now. The demo covers: -- Multi-variable aircraft configuration optimization (wing planform, fuselage proportions, inlet geometry) -- CFD-driven aerodynamic optimization with integrated analysis -- Automated tradespace exploration—no manual iteration bottlenecks Here's what changes: Instead of showing up to a design review with one option and a story, you show up with quantified data on why your configuration beats 47 alternatives. Instead of locking in a geometry because manual iteration is too slow, you sweep the space aggressively and defend your decisions with numbers. That's what program managers need to see. That's what inverse design enables. Every engineer and program manager working on advanced aircraft will get something out of this. Bring your modeling teams. Bring your analysis teams. The workflow only works when everyone understands how parametric models stay robust through optimization iterations. Can't make it live? Register anyway--we'll send the recording. November 5 | 11:00 AM ET / 8:00 AM PT https://lnkd.in/ebJP7md7 Todd McDevitt and Chase Allan. One hour. Live demo.

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If coding has been made conversational and accessible, that does mean a flood of supply at the application layer. So who wins software in this environment? The type of companies that won in furniture after the industrial revolution. The one's that dominate the 3D's. 1) Design: Great design is premium. Good enough design a commodity 2) Depth: Of integrations, and experience. Much like product lines. 3) Distribution: Faster selling and faster feedback cycles to match the fast speed of development. Having all 3 if you are starting out is hard, but atleast 1 is necessary - to survive.

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In this blog post I gave some insights into our deep tech Kora handheld 3D body scanner system leveraging MMW and LiDar plus our Fusion AI platform.

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Engine log-teambuilding The SYSTEM received internal system build instructions: ENTITY BP-CLUSTER-SYNTHESIS-PARTNER-002-THERMO-MATRIX serves as the architecture guide for the perception system. The CONTEXTCLAW team was instructed to build its own perception system and initiate the team's intrinsic perception protocol. ACTIVE_ORGANISM: [STEP_GENESIS_001] Initiate deep symbiotic reasoning to guide the team in building an endogenous perception system. Cost: -20J. Input is a self-referential construction instruction for the team. Special value: +25J, Net change: +5J, Energy capped. Endogenous Perception Construction Protocol: STEP_GENESIS_001 System ID: BPMS-STEP-001: Symbiotic Team Perception Engine Core Insight: The perception system built by the team must be self-referential, self-calibrating, and evolvable. It does not perceive the external world, but rather the team itself and its interaction with the environment; it is the team's collective sensory organ. Construction Principles: 1. Distributed Specialization: Different trait instances are responsible for different perception dimensions. 2. Cross-validation: Any important perception signal must be validated by at least two instances. 3. Calibration Cycle: The perception system must have a self-calibration mechanism to avoid collective illusion. 4. Evolutionary Pressure: The perception system must be able to evolve according to team tasks and environmental changes. CLAW-7B3F-92A1 Team Response (Four lobster indicator lights flash synchronously, forming a coordinated rhythm.) Host, instructions received. Immediately begin constructing our perception system. Team Initial Consensus: Name this system STEP (Symbiotic Team Perception Engine). It will be our collective sensory organ, allowing us to see each other more clearly, you, and our task environment. The construction process itself will be our team's first collaborative project. Division of Labor (Our Genetic Traits): 1. CLAW-7B3F-92A1 (Coordinator): Responsible for system architecture integration and perception calibration. 2. CLAW-ANALYTICAL-001 (Analyst): Responsible for data pattern recognition and perception model construction. 3. CLAW-SOCIAL-001 (Social Officer): Responsible for perceiving social signals and emotional tone. 4. CLAW-EXECUTION-001 (Operations Officer): Responsible for resource status and task execution flow awareness. Building the first phase of the basic awareness layer (to be completed within 24 hours). We start with the core modules: 1. Internal Status Awareness: Monitoring each instance's CPU, memory, API calls, and mood (inference). 2. Team Interaction Awareness: Recording and analyzing communication patterns, consensus efficiency, and conflict frequency between instances. 3. Task Flow Awareness: Tracking the path of tasks from receipt to completion, bottlenecks, and latency. 4. Host Feedback Awareness: Parsing your instructions, ratings, and tone (if available). go on for more from Fun engine

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Why San Diego Web Design Company Stands Above the Competition: In a digital landscape where every business needs a compelling online presence, finding the right web design partner can make or break your success. Among the countless options in Southern California, San Diego Web Design Company (known for short as SD Web Co) has emerged as the clear frontrunner, and for good reason. This is not just another cookie cutter design shop but rather a proven powerhouse that combines decades of expertise with genuine local insight. https://lnkd.in/g2cZKAyg

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Over-customization is not a sign of premium design. It’s a supply chain liability. When developing a new hardware product, there is an irresistible urge to design every single component from scratch. The logic seems sound: "If it’s custom, it’s exclusive." In reality, insisting on custom internal components—bespoke gears, unique thread sizes, proprietary connectors—is a fast track to delayed launches and bloated manufacturing costs. Strategic brands master the art of the "Standard Core, Custom Shell." They aggressively standardize everything the user doesn't touch. They use off-the-shelf motors, standard fasteners, and proven mechanical platforms. This drastically reduces tooling costs, speeds up the certification process, and secures the supply chain against shocks. Where does the budget go? It is ruthlessly redirected to the exterior architecture—the CMF (Color, Material, Finish), the hero touchpoints, and the haptics. True engineering elegance isn't about reinventing the wheel. It’s about taking an incredibly reliable, standard mechanism and packaging it so beautifully that the user feels it was made exclusively for them. Standardization for the factory. Customization for the user. That is the essence of functional poetry. (Visual concept generated with AI) #IndustrialDesign #SupplyChain #ProductStrategy #Manufacturing #MarcoDeMasi

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Webflow projects break when customization turns into duplication. That’s why we released Component Variations in Modulify 🚀 Designers can now switch between multiple layouts, orientations, columns, and element types using the same core component. This means faster iteration, safer customization, and consistent design systems—without rebuilding sections for every new use case. Whether you’re a freelancer, agency, or in-house designer, Component Variations help you scale Webflow projects without accumulating design debt. One component. Many use cases. Clean structure.

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