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<div style="display: none; max-height: 0px; overflow: hidden;">New Gemini models 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber have been introduced. The 3.6 Flash model improves coding and multimodal </div>
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<h1><strong> TLDR Dev <span id="date">2026-07-22</span></strong></h1>
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<strong>CompactifAI API: get frontier-class AI and cut costs up to 65% (Sponsor)</strong>
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Plug CompactifAI API into your coding agent and cut your bill drastically, without giving up top-tier AI quality.<p></p><p>The best API for output-heavy workloads, in 3 reasons:</p><ul><li><strong>GLM 5.2 at $3.50 per 1M output tokens:</strong> same intelligence tier as Sonnet 5, at 65% lower cost.</li><li><strong>Drop-in for the dev tools you already use</strong> like n8n, LiteLLM and Cursor: no migration, no workflow change.</li><li><strong>Try our uncensored versions</strong> of GLM 5.1 and Qwen 3.6 27B, ready to answer fully on any topic without giving up accuracy.</li></ul><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmultiversecomputing.com%2Flanding-compactifai-api%3Futm_source=tldr%26utm_medium=newsletter%26utm_campaign=compactifai_api_0726%26utm_content=primary_final_cta/1/0100019f89860cd5-39fb0113-1b4e-48dc-9ac8-e6d96e78aad4-000000/3X9a-tYQtCS5gy8wV48Hd7nr-jmvs0hmsqSjjTPufZY=452" rel="noopener noreferrer nofollow" target="_blank"><span>Sign up now and start saving →</span></a>
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<div style="text-align: center;"><span style="font-size: 36px;">🧑💻</span></div>
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<h1><strong>Articles & Tutorials</strong></h1>
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<strong>Beyond Happy Path Engineering: Time (39 minute read)</strong>
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Software development often starts under optimal conditions, leading to a "happy path" approach that neglects real-world challenges such as network issues and time synchronization problems. As systems scale, it becomes necessary to recognize the various dimensions of time, such as elapsed time, timestamps, event ordering, and business-specific timeframes. By making time decisions explicitly and tailoring how each aspect of time is handled within the software architecture, developers can create more resilient systems that can better handle the complexities and uncertainties of production environments.
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<strong>"Drawing" the Mona Lisa with GPT-5.6, Claude, Gemini, and Grok (11 minute read)</strong>
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An experiment was conducted to evaluate the artistic capabilities of four AI models, GPT-5.6 Sol, Claude Fable 5, Grok 4.5, and Gemini 3.6 Flash, by having them create drawings of famous artworks, including the Mona Lisa and Van Gogh's Starry Night, while using a colored-pencil toolset in a controlled environment. GPT-5.6 Sol was the most efficient and a high-quality performer, while Grok 4.5 struggled a lot. Claude Fable 5 had better quality, but also had a higher cost and longer creation time.
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<strong>Secrets Don't Belong in Config (5 minute read)</strong>
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Applications should avoid mixing sensitive information like passwords and API keys with configuration files, as this leads to security vulnerabilities and complicates the management of secrets. Instead, they should use dedicated runtime channels for secrets, which separates secret handling from configuration management effectively across different environments.
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<strong>Throw, Result, or neither? (24 minute read)</strong>
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In software development, handling errors can be approached through exceptions, Result types, or events, with each method serving different purposes based on the scenario's requirements. While using exceptions can quickly indicate issues, using event sourcing allows for the retention of failure data as valuable business insights.
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<h1><strong>Launches & Tools</strong></h1>
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<strong>Building an agent that buys things? Make sure it only buys once (Sponsor)</strong>
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What if your agent makes a purchase, but the payment gateway times out mid-charge? If your agent retries, you now own <em>two</em> pairs of yellow ostrich boots.<p></p><p>Fix it with a fashionable friend, or a few lines of code.</p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.inngest.com%2Fblog%2Fyour-agent-just-learned-to-spend-money%3Futm_source=tldr-dev%26utm_medium=email%26utm_campaign=sponsorship-tldr-dev%26utm_content=secondary-072226/2/0100019f89860cd5-39fb0113-1b4e-48dc-9ac8-e6d96e78aad4-000000/enIWw1QfJy5YOiLLDgTnV-Vu6sbBA1ePetqQU-nLhKA=452" rel="noopener noreferrer nofollow" target="_blank"><span>Read the guide</span></a> and <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Finngest%2Fagent-examples%2Ftree%2Fmain%2Fdurable-agent%3Futm_source=tldr-dev%26utm_medium=email%26utm_campaign=sponsorship-tldr-dev%26utm_content=secondary-072226/1/0100019f89860cd5-39fb0113-1b4e-48dc-9ac8-e6d96e78aad4-000000/kiKXBMpmfjPOuut5mx7tONOJa5a7uVmXdqOMx0QqMyg=452" rel="noopener noreferrer nofollow" target="_blank"><span>clone the repo</span></a> to keep payment agents alive without dealing with duplicate charges.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.google%2Finnovation-and-ai%2Fmodels-and-research%2Fgemini-models%2Fgemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber%2F%3Futm_source=tldrdev/1/0100019f89860cd5-39fb0113-1b4e-48dc-9ac8-e6d96e78aad4-000000/-GiXgP-NlTClZLt07n3MUTRtzcmkXcJPvCTRjl7WLHs=452">
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<strong>Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber (13 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
New Gemini models 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber have been introduced. The 3.6 Flash model improves coding and multimodal performance while also reducing output token usage and costs, while 3.5 Flash-Lite targets high-throughput tasks with better speed and cost-effectiveness. 3.5 Flash Cyber is specifically designed for cybersecurity applications.
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<strong>Openship (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Openship is an open-source, self-hostable deployment platform that makes the management of infrastructure easier, allowing users to push code, ship containers, and manage various services from a unified interface. It supports multiple programming languages and stacks, features built-in CI/CD, and allows deployment on managed services or self-hosted environments with various tools.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fpoolside.ai%2Fblog%2Fintroducing-laguna-s-2-1%3Futm_source=tldrdev/1/0100019f89860cd5-39fb0113-1b4e-48dc-9ac8-e6d96e78aad4-000000/SCDZzUccENMzBf1RNkJJEQ3yXKtnh7euJ0pKU2RQI14=452">
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<strong>Introducing Laguna S 2.1 (20 minute read)</strong>
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Laguna S 2.1 is a new 118B parameter MoE model designed for effective reasoning and long-horizon tasks, with impressive coding performance within its size category. This model improves persistence and verification in problem-solving during the training and evaluation process.
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<div style="text-align: center;"><span style="font-size: 36px;">🎁</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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