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<div style="display: none; max-height: 0px; overflow: hidden;">"Productive procrastination" is a phenomenon where individuals engage in desirable, productive tasks to avoid more important but often older projects </div>
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<h1><strong> TLDR Dev <span id="date">2026-04-13</span></strong></h1>
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At $0.03/hr batch and $0.06/hr streaming, Modulate's Transcription API costs <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.modulate.ai%2Flp%2Ftranscription-api%3Futm_source=tldr%26utm_medium=paid%26utm_campaign=transcriptionapi/3/0100019d869e1c24-b2064cfb-f2e7-4bda-b468-d36403cf5ce6-000000/5J30m74207mlidyuC8vfFh-nXI-ZnbaOtjg9QnVFbVw=452" rel="noopener noreferrer nofollow" target="_blank"><span>10x less than the competition.</span></a>
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Postgres job queues often degrade because "dead tuples" accumulate, as long-running transactions block the necessary VACUUM cleanup process. PlanetScale's Database Traffic Control addresses this by using "resource budgets" to throttle competing workloads, allowing VACUUM to operate effectively and maintain stable queue performance.
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The default limit of two simultaneous macOS virtual machines on Apple Silicon Macs can be bypassed by booting a development kernel with custom boot-args. This process involves using recovery mode to override kernel-level quotas, enabling developers and researchers to run numerous guest instances concurrently.
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<strong>Productive procrastination (11 minute read)</strong>
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"Productive procrastination" is a phenomenon where individuals engage in desirable, productive tasks to avoid more important but often older projects. This behavior is attributed to the brain's limbic system protecting against negative emotions associated with challenging tasks, combined with the reward system's preference for novelty.
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<strong>How Complex is my Code? (13 minute read)</strong>
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Code complexity is explored beyond computational efficiency, focusing instead on the human cognitive effort needed to understand and maintain software, drawing on traditional metrics like Cyclomatic and Halstead Complexity. This perspective integrates psycholinguistic insights to highlight factors like familiarity and working memory load, treating complexity metrics as valuable tools for aggregating data, prioritizing refactoring, and communicating technical debt.
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Multica is an open-source infrastructure platform that integrates AI coding agents into development teams as autonomous "teammates" capable of claiming tasks, writing code, and reporting progress. The system uses a Go-based architecture and a local daemon to orchestrate various AI models, allowing them to participate in conversations and compound reusable skills across isolated workspaces.
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Letta Code is a memory-first coding harness designed for long-lived agents that persist across sessions, allowing them to learn and retain information like a permanent teammate. It supports a wide range of LLMs and features a modular system for skill acquisition, transforming the AI from a one-off session tool into a continuous collaborator.
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<strong>How I run multiple $10K MRR companies on a $20/month tech stack (20 minute read)</strong>
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Operating multiple successful companies on a lean $20/month tech stack involves using single Virtual Private Servers and SQLite instead of complex cloud platforms or heavy database systems. This strategy prioritizes performance and cost-efficiency by leveraging local GPUs for AI tasks and using highly portable languages like Go to maximize development speed and runway.
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<strong>AI Cybersecurity After Mythos: The Jagged Frontier (10 minute read)</strong>
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Tests on major 2026 vulnerabilities show that AI cybersecurity capability is a "jagged frontier," where small open-weights models often match the discovery and reasoning performance of massive proprietary models like Anthropic's Mythos. This shows that the true competitive advantage in digital defense lies in the expert-led systems and scaffolds that orchestrate these tools rather than exclusive access to a single high-end model.
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<strong>Anthropic downgraded cache TTL on March 6th (GitHub Issue)</strong>
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A user reported a silent regression in Anthropic Claude Code's prompt cache TTL from one hour to five minutes in March.
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<strong>How We Broke Top AI Agent Benchmarks: And What Comes Next (19 minute read)</strong>
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UC Berkeley researchers demonstrated that prominent AI agent benchmarks are fundamentally flawed.
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<strong>Cirrus Labs to join OpenAI (3 minute read)</strong>
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Cirrus Labs is joining OpenAI's Agent Infrastructure team to further its mission of building advanced engineering tools for the agentic era.
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<strong>How to build a `git diff` driver (3 minute read)</strong>
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