... week. The harder part was agreeing on useful actions, providing coaching and following up while dealing with everything else during the week. For founders managing their first sales hires and experienced sales managers alike, how do you keep those commitments visible between meetings? Do you use your CRM, a shared document or a separate coaching tracker? What has actually stuck with your team? For context, I m building Pulse around this problem, so I m interested in learning how others ...

... using AI agents Alerts when Claude Code, Codex or GitHub Copilot finishes, needs approval or hits an error, in any editor or terminal Answer Claude Code's questions right from the notch Dev tab:  running agents, dev servers, commits, builds, deploys and test results, live Agent controls, a prompt queue, undo turn, usage-limit alerts and a secrets guard "Ready to commit

... within the code. The comment tells me what the code does. The log tells me why we took a different route because this is the information I tend to forget. Are you keeping any similar records or are your commit notes doing the trick? I would like to hear whether there is a better way of keeping a record, perhaps something universal to both Cursor and Claude Code. Comment from George Basov(@gbasovv): Same conclusion here, commit

... files the agent modified, so it's very fast and focused on the work it just did. For example, if it introduces a SQL injection, it gets the finding and switches to a parameterized query before you even commit. The result: far fewer alerts further down the pipeline. How much control do teams have over the business rules? Rules come from two sources, and your team stays in control of both. At the first scan, a miner analyzes the repo ... ... drafting one. Does the secrets scanner also check files that are generated or modified indirectly by the coding agent? Yes, in two ways: Files the agent edits directly are scanned at the end of the session. If the agent commits

... right and is more useful than either, and the revised version went up this month, so it's worth twenty minutes before you write your Q4 plan. It's NBER working paper 35275, Demirer, Musolff and Yang - "Writing Code vs. Shipping Code." More than 500,000 GitHub developers, matched against their actual AI usage telemetry rather than a survey, in a matched event study design. The headline numbers are large and I have no interest in arguing with them. Cumulative ... ... effects on commits

... octoscope 0.32.0 answers a question the Repos tab could not: which of your repositories do you actually commit to most? Until now you could see your commit

... have become one of the biggest supporters of open source maintainers on GitHub. @Mastra 's CTO, @suhdudeitsabhi , puts it simply: On that day, CodeRabbit clearly beat our other AI review tool. We canceled the next day. @CodeRabbit is now committing $10M more to OSS over the next year. Respect. Read their announcement Learn more about CodeRabbit for Open Source Comment from fmerian(@fmerian): "How do you see the funding being allocated across projects?" Good question. According to the blog announcement ... ... link ), this commitment

... disconnected text chunks in a vector store, so nothing carries over, not the reasoning, not the context, not what actually happened last time. Aperture Nexus is our answer. Context, who, what, when, why, and how, is stamped on every commit, so retrieval actually means something later. Enable lineage tracking when you need it, and every commit

... main project this morning instead of writing code. First commit is 1 November 2023. Today is day 1,038. There are 550 commits

... AI Commit Message Tagline AI-powered git commit

... Some are hilarious: " Do not claim that an interrupted or timed-out test passed " takes the gold for me. The shortest is 35 words, one rule from Neovim: AI Disclosure: If AI was used in any way for a commit, add an AI-assisted: <tool name> trailer to the commit

... Branches cost almost nothing, so every task can live on its own one, and merging stays a human decision made after reading the evidence. Underneath that sits the layer most people only meet in a crisis: the reflog. Every commit, reset, rebase, and branch move leaves an entry, kept for 90 days by default even when nothing points at it anymore. For a month or three, almost nothing an agent does to your history with everyday commands is actually gone ... ... once had to defeat this on purpose: a clean-room experiment required one commit

... grade its own work. The reason nobody publishes this is that it destroys the clean headline. The 5.5x stops being a number and becomes a distribution, and the interesting part is the tail: the run where the tool commits to a wrong path early and you pay for the entire detour. My hunch is that most of the real cost difference between these tools is not median efficiency at all. It is how often each one produces a confidently ...

... Most monitoring tools tell you when your site is down. PulseBoard tells you why. I built PulseBoard because I was tired of getting alerts at 3 AM and spending hours digging through logs, CloudWatch, and GitHub commits just to figure out what went wrong. Here's how it works: Monitors your websites and APIs Vigil AI investigates incidents automatically Correlates failures with GitHub commits

... example from a live site recently: The Incident: A 404 error appeared on the site at 04:10:01 UTC Average response time: 570ms (consistent with baseline of 583ms) Uptime dropped to 93% (from baseline 95.8%) What Vigil Analyzed: Commit Time What Changed Score df9f721 04:07:00 UTC indexolderbcvvvededehdeh.html was deleted 96/100 3b24abd 04:11:47 UTC CSS/JS links were commented out 40/100 5694025 04:10:52 UTC New HTML with broken syntax was created 35/100 Vigil's Investigation ... ... deletion of indexolderbcvvvededehdeh.html in commit

... Over the past few weeks, I've been focused on one question: Monitoring tells you something broke. But how do you figure out why ? That's where PulseBoard is heading. What's new GitHub Integration Correlate incidents with recent commits and deployment activity. Evidence-based Vigil AI Instead of generating generic AI responses, Vigil now investigates incidents using: Monitoring failures Historical incident patterns GitHub commit

... should end and "ask me first" should begin. Genuinely curious how you all handle it. Comment from Roopesh Donde(@roopesh_donde): That makes more sense. Selective permissions are essential right now. Claude often token maxes and commits code to Git without asking. I've set specific instructions not to commit

... tool with changes like instead of checkout on git which is confusing it has restore and a snapshot command which will track your current progress to teat new features but really quick like git stash instead of regular commit, it has both commit

... Product Hunt! I'm a solo 17-year-old founder, and I built ShadowLoop AI to scratch my own itch. I was tired of the constant context-switching, manually running test suites, and remembering to stage and commit code every time things finally worked. ShadowLoop AI is a lightweight, single-file Python daemon that completely automates that cycle in the background. ### What it does: 1. Self-Healing Loop: The second you save a file, it catches the event, applies ... ... your test suite (`pytest`, `unittest`, custom scripts). If things break, it surfaces the exact error trace instantly so you can fix it. 2. Automated Version Control: The exact moment your tests pass, it automatically runs `git add -A` and commits

... more than a polished to-do app nobody ever touched. Your GitHub Is a Storefront, Not a Storage Drive Most developers treat GitHub like a drawer where they throw unfinished experiments. GitHub profiles with optimized READMEs and consistent commit patterns receive 3x more profile visits and significantly more interview requests. That is not a small difference. Your GitHub profile is often the first technical impression you make. The contribution graph, the pinned repositories, the quality of your readmes ... ... Pinned repositories. You get six. Use them for your best work, not your most recent. Each pinned repo should have a descriptive name, relevant tags, and a readme that actually explains what the project does and why it exists. Commit

... completes a cutoff with something plausible. The final half-second of audio is especially dangerous because the model has just enough signal to guess, but not enough signal to know. So Juno treats live transcription as two separate objects: committed text - Stable enough to show as real speech. tail text -Useful as preview, but still provisional. The interesting part is the boundary between them. Juno uses LocalAgreement-style commits

... probably saw the VS Code 1.117 story: "Co-authored-by: Copilot" silently added to commits

... Cursor just dropped " Origin ," a GitHub competitor. Cursor is moving way beyond "VS

... Sharing something I've been building for 6 months. AUREM CTO Dev auremcto.com The problem: every AI coding tool stops at "here's your code." You still copy, paste, test, commit, push. That's not an AI engineer. That's autocomplete. What AUREM does differently: Reads your actual repo files (not hallucinated code) Writes the fix Runs 25-pattern security scan Commits

... breaking, and so on. - Vaizle - I work with Vaizle, but it has very easily emerged as my fav platform. Not even lying. I can keep track of ad performance, check what competitors are posting on social. And best part is that I can feed it my own website + competitors