KodeGauge
Technical Debt & Security Exposure quantified in Dollars
What it does
KodeGauge reveals what's in your code, how much it costs to run, and how to fix it. Identify technical debt, security risks, and infrastructure waste in minutes.
Does a similar job
all alternatives →- STSee the impact on your cloud costs as you code2024 · ▲179
Hey folks, my name is Owen and I recently started working at a startup (https://infracost.io/) that shows engineers how much their code changes are going to cost on the cloud before being deployed (in CI/CD like GitHub or GitLab). Previously, I was one of the founders of tfsec (it scanned code for security issues). One of the things I learnt was if we catch issues early, i.e. when the engineer was typing their code, we save a bunch of time. I was thinking … okay, why not build cloud costs into the code editor. Show the cloud cost impact of the code as the engineers are…
- CACodeBurn – Analyze Claude Code token usage by taskApr 2026 · github.com · ▲112
Built this after realizing I was spending ~$1400/week on Claude Code with almost no visibility into what was actually consuming tokens. Tools like ccusage give a cost breakdown per model and per day, but I wanted to understand usage at the task level. CodeBurn reads the JSONL session transcripts that Claude Code stores locally (~/.claude/projects/) and classifies each turn into 13 categories based on tool usage patterns (no LLM calls involved). One surprising result: about 56% of my spend was on conversation turns with no tool usage. Actual coding (edits/writes) was…
- DADetail, a Bug FinderDec 2025 · detail.dev · ▲67
Hi HN, tl;dr we built a bug finder that's working really well, especially for app backends. Try it out and send us your thoughts! Long story below. -------------------------- We originally set out to work on technical debt. We had all seen codebases with a lot of debt, so we had personal grudges about the problem, and AI seemed to be making it a lot worse. Tech debt also seemed like a great problem for AI because: 1) a small portion of the work is thinky and strategic, and then the bulk of the execution is pretty mechanical, and 2) when you're solving technical debt, you're usually trying to…
- IBI built a tool to rank cities based on purchasing power for SWEs2025 · techcities.app · ▲14
Show HN: I built a tool to calculate real tech salaries across cities (after tax & COL) As a software engineer obsessed with data-driven decisions, I wanted to quantify how much better/worse other cities would be compared to my current home in Berlin. While sites like Glassdoor and levels.fyi tell you how much you can earn, they don't show what you actually keep after taxes and living costs. So I built Tech City Index - a tool that compares cities based on actual purchasing power for software engineers, combining: * Real-time salary data from levels.fyi * Cost of living data from Numbeo…
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com