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| 🔗 Stories, Tutorials & Articles |
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| The Code Review That Cost $2 Million, CodeGood |
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New data shows only 15% of code review comments catch real bugs. The rest? Nitpicks on style, naming, or formatting - stuff linters and AI were made to handle.
Human reviews burn through $3.6M a year in larger orgs and still miss the tough stuff: threading issues, system integration bugs, rare edge cases. You know, the stuff that sets off expensive fires. |
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| Year in Review: Lessons From 12 Projects Patreon Shipped in 2025 |
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| Patreon engineers made massive bets in 2025, shipping code across all areas of the system and enabling impactful features like Autopilot's growth tools suite. Expanding Autopilot's scope, reach, and effectiveness was a challenge, especially guaranteeing recipient redemption after email delivery in a distributed worker system. Designing explicit metrics for projects is crucial to avoid moving in the wrong direction, as seen in Autopilot's tradeoffs between channel burn, raw conversions, and revenue. |
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| Distinguishing yourself early in your career as a developer |
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A seasoned dev maps the job market into three tiers: local/public companies, VC-backed/startups, and Big Tech/finance. Each step up brings more money, more competition, and a steeper climb.
Category 3 (Big Tech/finance): Highest salaries. Broadest interview access. Brutal prep required.
Category 2 (startups): Harder to stand out. Needs sharper signals to get noticed.
Category 1 (local/public): Lower pay. Easier in if you're solid. |
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| Build an AI-powered website assistant with Amazon Bedrock |
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| AWS spun up a serverless RAG-based support assistant using Amazon Bedrock and Bedrock Knowledge Bases. It pulls in docs via a web crawler and S3, then stuffs embeddings into Amazon OpenSearch Serverless. Access is role-aware, locked down with Cognito. Everything spins up clean with AWS CDK. |
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| 21 Lessons From 14 Years at Google |
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A seasoned Google engineer drops 21 sharp principles for scaling engineering beyond just writing code. Think: clarity beats cleverness, users over egos, alignment over being “right.” The core message? Build systems humans can work with - especially under stress.
Favorites: kill pointless work, treat process like risk insurance, and see abstractions as liabilities when stuff breaks. |
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| Agentic AI, MCP, and spec-driven development: Top blog posts of 2025 |
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AI speeds up dev - but it’s a double-edged keyboard. It sneaks in subtle bugs and brittle logic that break under pressure.
To keep things sane, teams are fighting back with guardrail patterns, AI-aware linters, and test suites hardened for hallucinated code. |
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| Stop Forwarding Errors, Start Designing Them |
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A fresh take on Rust error handling just dropped - and it's calling out the usual suspects.
Forget blindly forwarding errors with anyhow or smearing context around with Provider. This approach pushes for structured, intent-driven error types - errors that say what to do next (like "retry this") instead of just where things broke.
Libraries like Apache OpenDAL and the lean exn crate show how it's done. Think: flat enums for ErrorKind, plus tree-based context frames that stack clean logs with logic developers can actually use. |
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