Senior developers aren t slow reviewers. They re overloaded reviewers.
PRFlow is an AI agent that reviews and analyzes GitHub pull requests so senior developers don t have to spend time on the obvious layer of review.
What makes it practical is that you can chat with PRFlow about its feedback. Ask why something matters. Understand the reasoning before a human ever steps in.
It s not about replacing reviewers. It s about protecting senior attention Check it out : https://platform.graphbit.ai/mar...
I've added automatic grouping feature in @ArkTabs . Now I'm seeking opinion, should it be part of ArkTabs - as it is related to Tabs Management, or should it be separate extension?
From day one, TermDock has had a simple belief: redesign writing code into a workflow that feels intuitive, powerful, and aligned with how developers think. Today we re shipping TermDock 1.4.1 a stability and speed release that paves the road for the big capabilities introduced in 1.4.0, making the changes that truly impact your daily development reliable and ready for long-term use. We cleaned up the core. About 5,000 lines of deprecated AST v1 code are gone, the index system is unified, verbose logs reduced, and race conditions plus memory leaks in AI Session Explorer fixed. It runs smoother and gives you more control. We made visuals and interactions trustworthy. Git Graph text positioning and color consistency are corrected, terminal cursor alignment after layout transitions is fixed, and theme previews are accurate. The details you see and touch every day are back to precise. We invested in long-term AI memory. The AI Memory Library turns architecture, patterns, styles, lessons, and preferences into persistent, searchable memory you can share across workspaces. AST API v2 indexes at startup, provides call graphs and impact analysis, and helps you navigate large codebases without flying blind. We kept multi-platform skills and cross-terminal operations fluid. Skills work across Claude, Codex, and Gemini CLIs. You can drag terminal tabs to rearrange or split panes, and drag selected text from one terminal to another your workspace moves the way you want, instead of the tool dictating the flow. We protected input continuity. IME composition preservation and the Input Snippet Manager quietly save interrupted Chinese/Japanese input, offer toast-based restore when composition is cut, and preserve snippets across sessions. It s not flashy, but it prevents one distraction, start over in real life. 1.4.1 is about landing the capabilities. 1.4.0 drew the blueprint with AI Session Explorer, AST API v2, cross-terminal text drag, the skill system, and the Morandi-inspired comfort themes. 1.4.1 locks these into everyday workflows: more accurate graph layouts, consistent color language, a cleaner core, and fewer edge-case hiccups. We ll keep speed, stability, predictability as first principles, and then continue refining how AI and tools work together. The goal is simple: help you project your design and decisions into code and systems faster, without getting held back by tool limitations. That s the meaning of TermDock 1.4.1 making the capabilities that matter truly usable, reusable, and expandable day to day.
Most AI apps eventually hit the same wall. They forget users unless you build a ton of infrastructure first. This means every AI dev eventually will end up building this infra to provide the best user experience needs for their agent and app.
What rolling your own really means:
Vector DBs + embeddings + tuning
Extracting memories from conversations (and resolving conflicts)
Designing user profile schemas and keeping them in sync
Managing long chat history + summarization pipelines
Juggling different formats across OpenAI, Claude, etc.
Guys, a new problem from the USA has been posted. However, according to our observations, two very similar problems from other countries and by different authors have already been published on ProblemHunt. We recommend paying attention to this.
Every year I reflect on how I spent money in the previous year. Previously, I have manually scraped my bank statements and put together a report, but 2025 was interesting because I built a fairly overkill personal finance product to make this report easy to generate for myself.
Because it is really easy, I m going to do a deep dive on how I spent money in 2025. (I was able to put this all together in ~10 mins)
The way developers write code looks different than it did a few years ago. But reviewing those changes, merging them safely, and collaborating on them has increasingly become the bottleneck for building production-grade software.
The team at Graphite has spent the past few years thinking deeply about these workflows and have built a code review platform used by hundreds of thousands of engineers at top engineering organizations. The boundary between where you write code and where you collaborate on it feels increasingly arbitrary, and there's a lot we think we can build by collapsing that distance.
We are excited to announce that Graphite has entered into a definitive agreement to be acquired by Cursor.
Graphite will continue to operate independently with the same team and product. Over the coming months, we'll explore connecting the two products in ways that we hope will feel natural: tighter integrations between local development and pull requests, smarter code review that learns from both systems, and some more radical ideas we can't share just yet.
As 2025 comes to a close, it s the perfect time to reflect on how Raycast has helped you be more productive and stay in flow.
Take a look at your Raycast Wrapped to get insights on your Raycast launches, extensions usage, your most used apps, developer stats, time spent on meetings, AI usage, Focus stats, and so much more!
S/O to @thomaspaulmann @peduarte and team for once again putting effort into the little big details.
If you tried to build this "Email Finder and Verifier" inside Zapier or Make, you d be stuck creating a massive spiderweb of router steps to handle every single exception.
You d have to manually define every rule: "If the email is invalid, do this," "If that fails, try this name search," "If that fails, try a domain search." It s exhausting!
We ve just published a new n8n tutorial for Bult.ai.
It shows how to deploy n8n on Bult.ai in minutes and build a personal AI assistant connected to Telegram, Gmail, Google Tasks, Google Contacts, and Calendar. The guide covers deployment, importing a ready-made workflow, credentials setup, and testing text and voice prompts.
Over the last few months, the product has grown far beyond what we initially launched. What started as a simple conversational layer has now evolved into a full AI agent that can talk to customers, take action inside your systems, and help teams move faster across support and sales.
Whether you're a solo builder or part of a fast-moving product team, documentation always seems to lag just behind reality. Is it the speed of product changes?
Getting engineers or PMs to consistently update docs?
Whether you're a solo builder or part of a fast-moving product team, documentation always seems to lag just behind reality. Is it the speed of product changes?
Getting engineers or PMs to consistently update docs?
