Being a platform engineer in 2026: Career reality check (5 minute read) Platform engineering transitioned into an industrial standard by 2025, enabling mature organizations to achieve 20:1 developer-to-platform-engineer ratios and halve time-to-market. Average salaries, now at $160,000 in North America and $104,000 in Europe, reflect the role's democratization rather than devaluation. AI literacy has become a survival-level competency for practitioners. | | What AI is actually good for, according to developers (5 minute read) This post discusses AI coding tools designed to protect developer flow with contextual, customizable help rather than chat-centered automation, prioritizing human judgment, learning, minimal interruptions, and refinement driven by feedback that removes tedium without disrupting creativity. | Unconventional PostgreSQL Optimizations (13 minute read) Unconventional PostgreSQL techniques such as constraint_exclusion, function-based indexes on lower-cardinality expressions, virtual generated columns, and hash-backed exclusion constraints can significantly reduce query execution time, index size, and unnecessary full-table scans. These approaches outperform standard full-table scans and B-tree indexing in analytics-heavy and ad-hoc query workloads by better aligning indexes and constraints with actual query needs. | | Terraform Skill (GitHub Repo) A new Claude Agent Skill for Terraform and OpenTofu has been introduced, offering comprehensive guidance on testing strategies, module patterns, CI/CD workflows, and production-ready infrastructure code for Claude Code users. | agent-lightning (GitHub Repo) agent-lightning is an open-source framework for training and optimizing AI agents—enabling reinforcement learning (RL), automatic prompt optimization, supervised fine-tuning, and more—without requiring substantial changes to existing agent code. It works with virtually any agent framework (e.g., LangChain, OpenAI Agents SDK, and AutoGen) and provides modular components to collect agent execution data and iteratively improve agent performance via a decoupled RL training loop. | | Making Very Small LLMs Smarter With RAG (7 minute read) Small, local LLMs can be effectively leveraged for niche development tasks by implementing Retrieval Augmented Generation (RAG). This approach allows LLMs to generate accurate code snippets for the custom Nova Golang library, addressing limitations faced by larger commercial models unaware of such specialized projects. | IP Addresses through 2025 (45 minute read) IPv4 is effectively "post-exhaustion" by 2025: the globally allocated public pool is flat to slightly shrinking (~3.687B allocated at end-2025, down ~237k on the year), remaining free space sits mostly in APNIC/AFRINIC, and scarcity is managed via NAT/CGNAT plus an active—but cooling—transfer market whose prices fell sharply through 2025. IPv6 keeps growing in deployment, but 2025 saw fewer and much smaller allocations (big drop in total /32s allocated), and the Internet's trajectory is still shaped by the client/server + NAT model rather than a return to universal, publicly reachable end hosts. | | | Love TLDR? Tell your friends and get rewards! | | Share your referral link below with friends to get free TLDR swag! | | | | Track your referrals here. | | | |
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