ContextRail: Minimum Effective Project Memory for Agentic Coding
An open-source harness framework that resolves inter-session memory loss, file sprawl, and context pollution with 5 Markdown layers and 3 platform validators.
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Don’t Tell the Agent Everything, Teach It Where to Look
The context problem in agentic coding is not solved by producing more files. Real gains come from placing information in the right lifecycle layer and teaching the agent to read only the region it needs.
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Video to Slide: Lecture Video Slide Extraction Tool
An open-source desktop application that extracts clean lecture slides from YouTube or local videos before instructor annotations appear, compiling them into presentations.
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Tender Tracker: Local Public Procurement Monitoring Tool
An open-source desktop tool that collects public procurement announcements across multiple sources, applies rule-based filtering, and delivers alerts locally.
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Integrating Wind Energy into the Tekirdağ–Çanakkale Railway Corridor
To relieve the freight bottlenecks across Istanbul and the Marmaray tunnel, we modeled an alternative 200 km electrified railway corridor connecting Tekirdağ and Çanakkale. In this research conducted at ITU Rail Systems Laboratory and published in Railway Engineering Journal, we analyzed how to supply the line’s 246.4 GWh annual traction electricity demand locally by integrating regional wind resources with hybrid energy storage systems (HESS).
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Knowing What to Count: Engineering Precision and Commercial Strategy
Engineering instincts drive professionals to measure every parameter, compare feature lists, and select the most powerful hardware. Yet the true value of any technology is never determined merely by its raw capabilities or how many communication protocols it supports; it is defined by whether it addresses the right problem, alleviates operational drag on human teams, and delivers tangible commercial value to the enterprise. This analysis examines the three-stage maturity cycle of evaluating technology from technical specifications to operational speed and ultimately commercial impact.
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The Rule of Dancing with LLMs: Agentic Micromanagement
One of the most popular pieces of advice in current agentic AI discussions is this: “Give the agent the goal and let it handle the rest.” Let it plan autonomously, choose its tools, and solve the problem on its own. It sounds attractive, I know, but a project I have been working on over the last few months taught me the opposite. I think the most important rule of dancing with LLMs is micromanagement.
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The Critical Infrastructure Blind Spot in the AI Era
While deploying advanced artificial intelligence models for cybersecurity vulnerability discovery promises early defensive advantages, architecting defense solely around enterprise IT and cloud infrastructures leaves a massive blind spot across critical physical assets. An exploit in corporate IT typically leads to data exfiltration or temporary downtime, whereas an unmitigated vulnerability in operational technology, if safety instrumented layers are bypassed, can trigger uncontrolled valve releases, mechanical equipment damage, and direct threats to physical safety. This analysis examines why patching cycles in continuous 24/7 mission-critical operations span years rather than weeks, and why AI-assisted defense must place operational technology at the core of the table.
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Turning Dark Data in the Field into Value with IIoT Infrastructure
The majority of industrial machine data goes unanalyzed. Transforming dark data into business intelligence without intrusive PLC modifications is achievable through edge computing.
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Hardware Architecture to Overcome the IT/OT Barrier: Secure Remote Service for Machine Builders
Plant IT departments legitimately reject unconstrained remote access. By eliminating inbound firewall ports and avoiding the broad subnet exposure of conventional VPNs, secure remote service can be established through hardware-enforced microsegmentation and authenticated brokers.