Software Engineering Tools

You vibe-coded your app. Now what? 🤔 AI makes building easy, but getting customers is the hard part. Denovo takes you straight from idea to revenue. 💸 Get a ready-to-convert website with Stripe pre-wired, plus an automated growth engine sending emails to 100M leads and setting up your Meta ads campaigns. 🚀 Just ask "how's business?" for your revenue and next steps. 15,000+ businesses built here. Yours is one line away.

AI writes your code at 10× speed. Prelint makes sure it's the right code - it reviews every PR against your ADRs, docs and past decisions, and catches product drift before it ships. On teams using several AI reviewers, ~40% of the issues fixed before merge are caught by Prelint.

The easiest way to deploy a managed agent. Say what your agent should do, paste one prompt into your coding agent, get a live agent URL.

QraftAI assigns a dedicated AI agent to your product. It learns your app, generates quality test cases, and executes them live across every browser — without scripts or manual QA. Start free.

Mount one distributed filesystem across multiple sandboxes with concurrent read-write access. Agents can share files, tool outputs, datasets, and context through a normal filesystem path.

Add your GitHub repo for continuous testing, or drop in a URL for a one-time check. Replay QA explores your app, records every session, finds real bugs, and gives your coding agent the root cause and fix. Try for free: qa.replay.io

Manta AI is an autonomous testing agent for web applications. Give it a URL and it explores your app the way a real user would — mapping flows, finding bugs, and generating self-healing test cases. Describe a flow in plain English and Manta tests it for you, no script required. When your UI changes, the tests adapt on their own. Run the agent locally on any machine or server — test apps behind a firewall, on a private network, or even on localhost. Free tier open. No card required.

Campus gives builders a shared space to build with teammates and AI agents. Keep your repo, terminal, project knowledge, conversations, and agent work together in one persistent workspace, instead of scattering context across Slack threads, docs, tickets, canvases, and one-off AI chats. Campus is organized around the thing you are building, so humans and agents can pick up where the work left off.

TryCase gives AI coding agents disposable Linux environments to run apps, test changes end to end, capture screenshots and recordings, and return verified code instead of asking you to test manually.

Stigg is the usage runtime for AI products: the real-time enforcement and governance layer between your app and your billing stack. It decides what every customer, user, team, and agent can do, the moment they try. Millisecond credit checks, zero overdraft, enterprise governance, and modular BYOC. Metering, credits, entitlements, and governance in one runtime. Enforce in the request path instead of reconciling on the invoice. Free forever for AI startups.

Stigg is the usage runtime for AI products: the real-time enforcement and governance layer between your app and your billing stack. It decides what every customer, user, team, and agent can do, the moment they try. Millisecond credit checks, zero overdraft, enterprise governance, and modular BYOC. Metering, credits, entitlements, and governance in one runtime. Enforce in the request path instead of reconciling on the invoice. Free forever for AI startups.

Simulate AWS, GCP, Azure, OCI & DigitalOcean architectures to predict cost, performance, and resilience without provisioning real resources or paying a cloud bill. Built for learners practicing cloud skills and AI agents training on cloud optimization.

Paybond CLI is new: one command line for safe AI agent spending, in TypeScript and Python. Run paybond login to get into sandbox in minutes. From there: scaffold paid-tool guardrails with paybond init, wire Claude, Codex, or any MCP host with paybond mcp install, and validate credentials and agent setup with paybond doctor. Every command supports JSON output for scripts and coding agents. Same rules everywhere: budgets, approval before spend, outcome checks, and audit-ready records.

Most startups ship fast and have no QA team, so tests get written late, break often, and quietly get ignored. Blop fixes that. You describe what your app should do in plain English. Blop builds a deep map of your product, tests it like a real user on every deploy, and when something changes and a test breaks, it repairs the test and opens a PR for you to review. The tests stay as real code in your repo. You own them. Nothing locked inside our tool.

Debugging a Lambda failure in CloudWatch is rough. Logs scattered across streams, no timeline, endless scrolling. LogStitch is a native Mac app that stitches your Lambda logs into one clear timeline. It clusters repeating error patterns and surfaces latency outliers, so you find the failure fast. It also ships a built-in MCP server, so AI assistants can query your Lambda logs directly and debug alongside you. One-time price, no subscription. 14-day free trial.

AlgoFly is an AI consulting company that helps businesses build and deploy AI solutions.

Poolside is a foundation model company bringing intelligence to everywhere work gets done. Their mission is to drive abundance for humanity by creating artificial general intelligence.

Preview your in-progress work in Claude Code as a live, interactive artifact—built from your full session context and shareable with your team.

Charlie Labs gives engineering teams always-on AI daemons that keep work moving after coding agents create it. Define recurring roles in your repo, then let Daemons monitor PRs, issues, CI, docs, and Sentry errors over time. Instead of waiting for another human prompt, Daemons leave reviewable updates where your team already works: GitHub, Linear, Slack, and Sentry.

Run more agents. Merge more code. Kepler is GitKraken’s agentic development environment (ADE). It gives you full clarity and control to run parallel agents at scale: plan work, write code, and review what ships, all from one surface.

Revyl gives mobile teams full observability into how their app actually behaves on live cloud devices. Step-level execution traces, performance data (CPU, memory, FPS), a complete network waterfall, and state and file-system diffing across every run. Atlas auto-maps every screen and flow in your app, and revyl dev brings hot reload and device control into your dev loop.