forgecode

Ever since I dove into a major enterprise RAG (Retrieval-Augmented Generation) project, I’ve learned...

I recently set out to build a full-fledged SaaS website from the ground up – and it turned out to be...

Today in AI, the right tools can make all the difference. As an AI reseacher, I’m always hunting for...

As an enterprise developer, I’m always hunting for tools that boost productivity and streamline...

TL;DR I tested three AI models on the same Next.js codebase to see which delivers...

A 12-hour head-to-head test of three AI coding models—Claude Sonnet 4, Kimi K2, and Gemini 2.5 Pro—on the same Next.js codebase, measuring success rate, speed, cost, and developer follow-up time. The results reveal that Claude offers the most complete first-attempt implementations, Kimi K2 delivers the best total value, and Gemini is fastest but surprisingly costly when factoring in iteration overhead.

We’ve been buzzing ever since we integrated OpenAI’s GPT‑OSS‑20B and GPT‑OSS‑120B into Forgecode...

The recently released AI model, Kimi K2 from Moonshot AI, is an open-source model that many consider...

Let’s be real, our terminals are long overdue for an upgrade. In 2025, the biggest leap in developer...

I’m always on the lookout for tools that let me and my team stay in the terminal and cut down on...

Ever wished your AI coding assistant could be as seamless as having a teammate right in your...

Kimi K2 vs Qwen-3 Coder: 12 Hours of Testing! — Which AI coding model actually delivers in real-world development? We spent over 12 hours testing Kimi K2 and Qwen-3 Coder with Rust and React tasks to compare output quality, speed, and value for developers.

With my ongoing research on coding agents, I am looking for tools that boost developers productivity....

I’m always curious how much an AI “pair programmer” in the terminal can help an enterprise dev get...

You might have already heard about the release of Grok 4, the latest breakthrough from Elon Musk’s...

Ever find yourself Googling yet another Git command? These terminal-based AI coding agents can answer...

You’re a developer then; juggling tight deadlines, complex codebases, and endless refactors is just...

Curious if Grok 4 lives up to the hype against Claude 4 Opus for complex coding? This deep dive moves beyond theoretical benchmarks, putting both models to the test on 15 real-world Rust coding challenges, including intricate race conditions and deadlocks. Discover which AI excels in speed, cost-efficiency, and bug detection, and what their distinct behaviors mean for your development workflow. Get the concrete data and insights you need to choose the right AI for your next project.

Forge v0.98.0 delivers major improvements in authentication and developer experience. With browser-based login, smart safety limits to avoid infinite loops, and powerful new file operations like replace-all patching, this release streamlines setup and safeguards workflows without breaking compatibility. Whether you're new to Forge or running CI pipelines, v0.98.0 makes it easier and safer to build with AI—no manual API keys required.

The Model Context Protocol has faced significant criticism in the past due to its security...

Imagine this: you’re at the terminal, juggling Docker containers and Git branches, and you simply ask...

Claude Sonnet 4 vs. Gemini 2.5 Pro Preview — which model actually delivers for developers? This deep-dive comparison goes beyond benchmarks to real-world coding performance, analyzing speed, cost, instruction adherence, and architectural behavior. With rigorous Rust-based testing and minute-by-minute breakdowns, this article reveals which model stays on scope, which one drifts, and what it means for your workflow. A must-read for engineers choosing between creative exploration and production-grade reliability.

When Google Cloud's IAM service failed, it triggered a global cascade—crippling Cloudflare, disrupting Anthropic, and exposing how deeply our systems are intertwined. This article unpacks the outage minute by minute, revealing how a single bug rippled across infrastructure, AI services, and Zero Trust platforms. From root cause analysis to engineering lessons that actually matter, this post is your guided tour through the internet’s quietest 7-hour meltdown.

AI code generators can get you 90% of the way, fast—but the last 10% is where maintainability dies. This article unpacks how architectural constraints inspired by Rich Hickey's 'Simple Made Easy' talk helped one team transform AI-generated code from confusing to reviewable. Learn five core principles that eliminate complexity, force clarity, and teach your agents better habits through structure—not smarter prompts. If AI is writing your code, this is how to make sure you can still read and maintain it.

DeepSeek-R1-0528 claims to rival GPT and Claude in reasoning — and it delivers, but with a catch. This hands-on review dives into eight hours of real-world testing, exposing the brilliance and the bottlenecks of this open-source AI model. From latency issues to architectural wins, get the no-BS verdict on when DeepSeek shines and when it stalls your workflow. If you're considering integrating it into your dev setup, read this first.

MCP servers are leaking conversations, injecting prompts, and hijacking your cloud bills—this isn’t theoretical. Backed by fresh Trail of Bits research and OWASP guidelines, this article outlines real-world MCP threats and five practical, code-level defenses you can ship today. If you're building with AI agents, you can’t afford to skip this.

A deep dive into the security blind spots of Anthropic's Model Context Protocol (MCP). This article uncovers how tool description injection, weak authentication, and supply chain risks are quietly undermining AI tool integrations. Tested against real implementations, these findings reveal critical vulnerabilities lurking behind the scenes—issues that won’t show up in logs but could be exploited at scale. If you're deploying or building MCP tools, read this before it’s too late.

After 180 days of pairing with AI coding agents in real-world development, this article shares 12 no-fluff lessons—what works, what breaks, and how actually to make AI helpful in your daily workflow. From tool fatigue to code trust issues, get the insights you won’t find in marketing decks.

Let’s be honest, most GitHub repos are either overhyped or buried in README chaos. But every once in...

A head-to-head experiment comparing indexed vs no-index AI coding agents using Apollo 11's flight code. Discover which approach is faster, more reliable, and safer when coding at lunar scale.