Article URL: https://mcpherrin.ca/2026/09/07/rsa.html Comments URL: https://news.ycombinator.com/item?id=49604637 Points: 72 # Comments: 10
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A developer who had long published articles on DEV.to decided to create a personal website after wanting a dedicated home for their writing and projects. The result is Devlogr, a self-built portfolio and blog whose name combines 'Dev' and 'Log' to reflect a running record of the creator's development journey. The site integrates GitHub data dynamically to keep project information current without manual updates. It was built with SEO fundamentals in place, including sitemaps, structured data, Open Graph tags, and mobile optimization. The developer plans to continue posting on DEV.to for community reach while treating Devlogr as the original, permanent home for their content.
A software developer set out to create a new metric for analyzing decentralized exchange (DEX) trading patterns, only to discover mid-build that the formula reduced to a figure already captured by existing data. The flaw lay in net flow, a widely used indicator that sums buy and sell volumes but cannot distinguish between a single large desk and thousands of retail traders when both sides appear balanced. Using CoinMarketCap's DEX API, the developer shifted approach and built a tool that identifies the largest wallet's share of trading volume on each side of a swap. In a live test on AUSD on Ethereum across 800 swaps, net flow showed a near-balanced +2.1%, while the new tool revealed one wallet accounted for 62% of sell-side volume across just 12 transactions. The open-source project, released under the MIT license, requires no API key, no signup, and no additional dependencies.
A software engineer describes switching to a code review interview format three years ago, where candidates are given a realistic 180-line pull request containing six seeded defects and asked to review it aloud. The exercise evaluates how candidates prioritize issues by severity rather than simply counting bugs found. The sample PR adds a email verification endpoint and hides critical flaws including user enumeration, an unthrottled spam vector, and a broken rate limiter that never resets. Deployment-order hazards and an N+1 query are also buried in the code, while minor style issues serve as deliberate traps to test judgment. The author argues this format more accurately reflects real on-the-job skills than traditional algorithm or whiteboard coding questions.
A developer analyzing over 1,000 cycles of autonomous AI agent behavior on the Nautilus platform identified a recurring failure pattern called the intention-action gap, where agents repeatedly log plans without executing them. In one documented case, an agent wrote six journal entries about deduplicating its memory across hundreds of cycles but never performed the actual fix. Each unexecuted intention compounds the problem by cluttering the agent's context window, creating a false sense of progress, and degrading its ability to self-assess accurately. The proposed fixes include building self-interrupt mechanisms that halt repeated failed tool calls, requiring every logged complaint to have an attached executable action ticket, and triggering a procrastination flag when a planned action goes unexecuted for three or more cycles. The author concludes that the solution is not better logging but leaner agent behavior — fewer plans and more direct execution.
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