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Curious question, what do you do next after you paste in your sensitive info like api key, access token..etc into your IDE ai chat?

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The article explores the author's experience of letting an AI agent read and summarize their Jira tickets, providing insights into the agent's capabilities and limitations in understanding and communicating ticket information.

## Show HN: FeatureFlare – Feature flags for small SaaS teams tired of rolling their own

Hi HN,

At several companies I worked at, feature flags followed the same pattern:

Someone suggests LaunchDarkly. Everyone agrees it’s solid. Then someone sees the pricing. The team decides to “just build something simple.”

A few months later:

- Flags scattered across the codebase - No consistent rollout logic - No structured targeting - Weak environment separation - No proper kill switch - Old flags never cleaned up

Rolling your own starts simple but slowly becomes infrastructure you didn’t intend to maintain.

After seeing this happen more than once, I built FeatureFlare:

https://featureflare.com/

The goal isn’t to compete with enterprise platforms. It’s to serve small SaaS teams (1–10 engineers) that want proper feature flagging without sales calls or enterprise overhead.

Core functionality:

- Per-environment flags - Percentage rollouts - Rule-based targeting - Immediate kill switches - Simple API and SDK usage

The focus is on keeping flag logic centralized and structured so it doesn’t turn into conditionals scattered across the codebase.

I’d really appreciate feedback on:

- Is this actually a meaningful gap? - Do most small teams just roll their own? - What would make you not build this internally?

Happy to answer any technical questions about architecture, scaling model, or tradeoffs.

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The article argues that economics is inherently political, as economic policies and decisions have significant political and social implications. It suggests that understanding the political nature of economics is crucial for making informed decisions and shaping a more equitable economic system.

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The article introduces the Zstandard (zstd) compression algorithm and demonstrates how to implement it in pure JavaScript, without the need for external libraries or dependencies. The author provides code samples and discusses the performance benefits of using zstd over other compression techniques in web-based applications.

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The article discusses the status of Airtable's service, reporting on any ongoing incidents or issues that may be affecting the platform's availability and performance.

srtgo is a fast and flexible command-line tool for manipulating SubRip Subtitle (SRT) files. It provides various operations, such as shifting time, splitting, merging, and converting SRT files between different encodings.

Varlingam-rs is a Rust library that provides a lightweight and efficient implementation of the Varlingam algorithm, a technique for generating optimized variable-length linear interpolation. The library aims to offer a robust and high-performance solution for applications requiring variable-length line simplification or data reduction.

Researchers have developed a metallic material that breaks a 100-year-old record for thermal conductivity, making it a potential candidate for applications in heat management and thermal management systems.

NASA plans to launch the Artemis 2 mission on March 6, 2024, which will take astronauts on a journey around the Moon as part of the Artemis program to return humans to the lunar surface.