Full-Time
AI-assisted code generation and IDE feedback
$100k - $150k/yr
San Francisco, CA, USA
In Person
Continue.dev integrates Large Language Models into popular IDEs (like VS Code and JetBrains) to assist software developers directly in their coding environment. Its tools include code generation, refactoring, and on-demand explanations that users can access by highlighting sections of code to get instant feedback and answers. The platform supports multiple programming languages, not just Python, and blends open-source access with premium subscriptions for advanced features and dedicated support. This differentiates Continue.dev from competitors by combining community-driven, freely accessible core features with paid enhancements, all centered on AI-assisted coding within the IDE. The company’s goal is to make coding faster and more intuitive, letting developers focus on creativity and problem-solving while the AI helps with routine or complex tasks embedded in their workflow.
Company Size
11-50
Company Stage
Seed
Total Funding
$2.2M
Headquarters
San Francisco, California
Founded
2023
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Health Insurance
401(k) Retirement Plan
Remote Work Options
Flexible Work Hours
Coding tool reviews: the shift to agentic workflows in mid-2026. The shift from autocomplete to autonomy. Welcome to mid-June 2026. If you have been paying attention to the developer tooling ecosystem this week, you have probably noticed a massive philosophical shift. PorkiCoder is officially moving past the era of standard autocomplete. The new frontier is all about agentic autonomy, where AI assistants do not just finish your lines of code, but manage entire pull requests, orchestrate multi-file refactors, and run as background jobs in your continuous integration pipeline. As a developer, you want tools that respect your workflow without burning through your API credits. That is precisely why PorkiCoder built PorkiCoder as a blazingly fast IDE from the ground up, letting you bring your own API key with zero markups for a flat $20 per month. You only pay for what you actually use. Let PorkiCoder dive into the latest coding tool reviews and see how the big players are pushing agentic workflows forward this month. Cursor Composer 2.5: speed versus opacity. Cursor continues to iterate aggressively on its multi-file editing capabilities. In late May 2026, the team rolled out their highly anticipated update, which you can read about in the official Composer 2.5 release post. The primary goal of Composer 2.5 is to keep your project coherent when an AI agent needs to modify several files at once without losing context. The community response has been mostly positive regarding raw speed, but there are growing conversations around the opacity of Cursor's internal benchmarking. According to community analysis of the release, while Composer 2 scored between 60 and 65 percent on previous benchmarks, the new iteration scores between 50 and 55 percent on the newer CursorBench v3.1 metric. Developers are noting that the real test is how well the model handles non-obvious file boundaries. When you ask an agent to build a feature, you want it to intelligently update obscure configuration files without hallucinating unnecessary changes elsewhere. Composer 2.5 represents a solid step forward, but you still need to keep a close eye on the diffs. Continue reinvents itself: Mission Control and the CLI. Perhaps the most fascinating evolution in 2026 comes from Continue. Originally known as a popular open-source IDE extension, the team has completely reimagined their approach to AI coding. As detailed in their post From Extension to Mission Control, they realized that as pull requests got larger and faster, the primary developer anxiety shifted from writing code to actually trusting AI-generated code. To solve this problem, Continue launched the Continue CLI, simply invoked as 'cn', alongside a new orchestration layer called Mission Control. Instead of just chatting in a sidebar, you can now define AI Checks as simple markdown files. These checks run automatically as GitHub status checks on every pull request. If the code meets your repository standards, the check turns green. If it violates a rule, the agent flags it red and offers a suggested diff. This is a game changer for teams drowning in AI-generated pull requests. It moves the AI out of your immediate editor viewport and turns it into an automated reviewer that enforces your specific project guidelines. Local privacy with the open Instinct model. For developers who prefer to keep their code entirely local, Continue also made waves recently with a major open-source model release. They announced an open Next Edit model designed specifically for local deployment, which you can explore in their Introducing Instinct announcement. Traditional autocomplete models are great for inserting text at your cursor, but they struggle with complex operations like deleting outdated parameters or restructuring entire code blocks. Instinct is trained to understand your editing trajectory and carry out the next logical step automatically. According to the development team, this Next Edit capability is estimated to be 6.4 times faster than manual editing. Best of all, you can run Instinct entirely locally on your own GPU using Ollama integrated with VS Code or the Continue CLI. This is perfect for enterprise teams handling highly sensitive, proprietary codebases who cannot afford to send snippets over the network to external APIs. Wrapping up. The coding tools of mid-2026 are highly focused on verifiable trust and workflow integration. Whether you are letting Cursor Composer 2.5 rewrite a massive feature branch, relying on Continue Mission Control to review pull requests, or running Instinct locally for secure refactoring, the goal is to reduce developer friction. Running all these background agents can lead to massive token consumption. If you are tired of hidden surcharges from other editors, remember that PorkiCoder is a completely custom-built IDE that charges zero API markups. You just plug in your own keys, pay a flat $20 monthly subscription, and let your agents run wild. Stay productive, and keep your agents in check!
Last week, Continue, Inc. launched Continue CLI (cn), which provides immediate executing bash commands.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Mistral has updated its open-source coding model Codestral — which is proving popular among coders — extending the competition for coding-focused models targeted to developers. In a blog post, the company said it has upgraded the model with more efficient architecture to create Codestral 25.01, a model Mistral promises will be the “clear leader for coding in its weight class” and twice as fast as the previous version. Like the original Codestral, Codestral 25.01 is optimized for low-latency, high-frequency actions and supports code correction, test generation and fill-in-the-middle tasks. The company said it could be helpful for enterprises with more data and model residency use cases. Benchmark tests showed Codestral 25.01 performed better in tests coding in Python and scored 86.6% in the HumanEval test. It beat the previous version of Codestral, Codellama 70B Instruct and DeepSeek Coder 33B instruct. This version of Codestral will be available to developers who are part of Mistral’s IDE plugin partners. Users can deploy Codestral 25.01 locally through the code assistant Continue
Continue, Inc. is excited to partner with SambaNova Systems to launch QwenCoder2.5 32B on their cloud!
Just over a year ago, Continue, Inc. launched Continue on Hacker News.